Juan Manuel Górriz Sáez
Category
PhDContact
gorriz@uRbhKvclqgr.es
Organization
UGRHighly Cited Researcher 2022
| Total | From 2019: | |
|---|---|---|
| Citas | Total: 16239 | From 2019: 10412 |
| Índice H | Total: 68 | From 2019: 53 |
| Índice i10 | Total: 259 | From 2019: 181 |
Papers (695)
| Title | Authors | Year |
|---|---|---|
| Is K-fold cross validation the best model selection method for Machine Learning? | JM Gorriz, F Segovia, J Ramirez, A Ortiz, J Suckling. | 2024 |
| Hypertrophic Cardiomyopathy Diagnosis Using Deep Learning Techniques | D Sharifrazi, R Alizadehsani, NH Izadi, M Roshanzamir, A Shoeibi, .... | 2024 |
| A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm | J Yang, T Sadiq, J Xiong, M Awais, U Aslam Bhatti, R Alizadehsani, .... | 2024 |
| Statistical Agnostic Regression: a machine learning method to validate regression models | JM Gorriz, J Ramirez, F Segovia, FJ Martinez-Murcia, C Jiménez-Mesa, .... | 2024 |
| Retraction: BCNet: a novel network for blood cell classification | Z Zhu, S Lu, SH Wang, JM Górriz, YD Zhang. | 2024 |
| GAN‐MD: A myocarditis detection using multi‐channel convolutional neural networks and generative adversarial network‐based data augmentation | H Ahmadi Golilarz, A Azadbar, R Alizadehsani, JM Gorriz. | 2024 |
| Improved organs at risk segmentation based on modified U‐Net with self‐attention and consistency regularisation | M Manko, A Popov, JM Gorriz, J Ramirez. | 2024 |
| Visualizing Brain Synchronization: an explainable representation of phase-amplitude coupling | A Ortiz-García. | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| GAN-MD: A myocarditis detection using multi-channel convolutional neural networks and generative adversarial network-based data augmentation | HA Golilarz, A Azadbar, R Alizadehsani, JM Gorriz. | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Unraveling the Autism spectrum heterogeneity: Insights from ABIDE I Database using data/model-driven permutation testing approaches | FJ Alcaide, IA Illan, J Ramirez, JM Gorriz. | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia | N Gallego-Molina, FJ Martinez-Murcia, MA Formoso, D Castillo-Barnes, .... | 2024 |
| Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders | JE Arco, NJ Gallego-Molina, PJ López-Pérez, J Ramírez, JM Górriz, .... | 2024 |
| A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson’s Disease | C Vázquez-García, FJ Martinez-Murcia, JE Arco, IA Illán, C Jiménez-Mesa, .... | 2024 |
| PDBIGDATA: A New Database for Parkinsonism Research Focused on Large Models | R López, FJ Martinez-Murcia, J Ramírez, T Martín-Noguerol, .... | 2024 |
| RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena | J Rodríguez-Rivero, D López-García, F Segovia, J Ramírez, JM Górriz, .... | 2024 |
| RESISTO Project: Automatic Detection of Operation Temperature Anomalies for Power Electric Transformers Using Thermal Imaging | D López-García, F Segovia, J Rodríguez-Rivero, J Ramírez, D Pérez, .... | 2024 |
| A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test | C Jimenez-Mesa, JE Arco, M Valenti-Soler, B Frades-Payo, .... | 2024 |
| ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration | AMM Kasmaee, A Ataei, SV Moravvej, R Alizadehsani, JM Gorriz, .... | 2024 |
| Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm | M Hashemi, SSS Komamardakhi, M Maftoun, O Zare, JH Joloudari, .... | 2024 |
| Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models | A Shoeibi, M Khodatars, H Alinejad-Rorky, J Heras, S Bagherzadeh, .... | 2024 |
| Morning Anxiety Detection Through Smartphone-Based Photoplethysmography Signals Analysis Using Machine Learning Methods | M Sistaninezhad, A Jafarizadeh, S Rajebi, S Pedrammehr, .... | 2024 |
| Stationary Wavelet Entropy and Cat Swarm Optimization to Detect COVID-19 | M Wu, S Chen, J Wang, S Wang, JM Gorriz, Y Zhang. | 2024 |
| Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications | M Roshanzamir, R Alizadehsani, SV Moravvej, JH Joloudari, .... | 2024 |
| Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI | M Bdaqli, A Shoeibi, P Moridian, D Sadeghi, MF Pouyani, A Shalbaf, .... | 2024 |
| Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier | M Maftoun, JH Joloudari, O Zare, M Khademi, A Atashi, MA Nematollahi, .... | 2024 |
| Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model | A Shoeibi, M Jafari, D Sadeghi, R Alizadehsani, H Alinejad-Rokny, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Drive My CAR-AD Research here, there and Everywhere | JM Górriz Sáez. | 2024 |
| Role of artificial intelligence in ocular tumors: A systematic review. | S Farabi Maleki, M Yousefi, Z Hajiesmailpoor, A Jafarizadeh, .... | 2024 |
| Convolutional neural network and glioma genotyping: A systematic review. | H Ashayeri, M Abdollahi, A Jafarizadeh, S Morsali, S Pedrammehr, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| SE-GAP-ResNet: A machine learning model for abnormal breast detection. | JM Gorriz Saez, S Wang, Y Zhang. | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions | A Elazab, C Wang, M Abdelaziz, J Zhang, J Gu, JM Gorriz, Y Zhang, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Guest Editorial: Knowledge‐based deep learning system in bio‐medicine | YD Zhang, JM Górriz. | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer’s Disease Early Diagnosis | S Farabi Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Frequency and Longitudinal Course of Behavioral and Neuropsychiatric Symptoms in Participants With Genetic Frontotemporal Dementia | S Schönecker, FJ Martinez-Murcia, J Denecke, N Franzmeier, A Danek, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Assessing the Use of Transfer Learning in Neural Networks Used to Assist in the Diagnosis of Alzheimer’s Disease | D Muñoz-Sánchez, JM Górriz, J Ramírez, FJ Martinez-Murcia, F Segovia. | 2024 |
| Automatic segmentation of gray and white matter lesions in multiple sclerosis patients using isolines | F Segovia, D Castillo-Barnes, JM Barrios-López, A Piñero-Donis, .... | 2024 |
| Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis. | SF Maleki, M Yousefi, N Sobhi, A Jafarizadeh, R Alizadehsani, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| A New Ensemble Transfer Learning Approach With Rejection Mechanism for Tuberculosis Disease Detection | S Hansun, A Argha, H Alinejad-Rokny, R Alizadehsani, JM Gorriz, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| BCNet: a novel network for blood cell classification (Retraction of Vol 9, art no 813996, 2021) | Z Zhu, S Lu, SH Wang, JM Gorriz, YD Zhang. | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Multi-graph Networks with Graph Pooling for COVID-19 Diagnosis | C Tang, W Xu, J Sun, S Wang, Y Zhang, JM Górriz. | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Using Explainable Artificial Intelligence in the Clock Drawing Test to reveal the cognitive impairment pattern | C Jimenez-Mesa, JE Arco, M Valenti-Soler, B Frades-Payo, .... | 2023 |
| Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer’s disease progression | JE Arco, A Ortiz, D Castillo-Barnes, JM Górriz, J Ramírez, .... | 2023 |
| Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism | JE Arco, A Ortiz, NJ Gallego-Molina, JM Gorriz, J Ramirez. | 2023 |
| Guest Editorial Special Issue on Explainable Deep Learning for Medical Image Processing and Analysis | YD Zhang, JM Górriz, Y Pan, O Cordon. | 2023 |
| Optimization Algorithms and Machine Learning Techniques in Medical Image Analysis | Y Zhang, JM Gorriz, DR Nayak. | 2023 |
| Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern. | C Jimenez-Mesa, JE Arco, M Valenti-Soler, B Frades-Payo, .... | 2023 |
| Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism. | JE Arco, A Ortiz, NJ Gallego-Molina, JM Gorriz, J Ramirez. | 2023 |
| Non-linear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data | D Castillo-Barnes, FJ Martinez-Murcia, C Jimenez-Mesa, JE Arco, .... | 2023 |
| Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders | E Heras, FJ Martinez-Murcia, IA Illán, C Jiménez-Mesa, D Castillo-Barnes, .... | 2023 |
| Non-linear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data | D Castillo-Barnes, FJ Martinez-Murcia, C Jimenez-Mesa, JE Arco, .... | 2023 |
| Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders | E Heras, FJ Martinez-Murcia, IA Illán, C Jiménez-Mesa, D Castillo-Barnes, .... | 2023 |
| Connected system for monitoring electrical power transformers using thermal imaging | F Segovia, J Ramírez, D Salas-Gonzalez, IA Illán, FJ Martinez-Murcia, .... | 2023 |
| Deep Learning in Food Category Recognition | Y Zhang, L Deng, H Zhu, W Wang, Z Ren, Q Zhou, S Lu, S Sun, Z Zhu, .... | 2023 |
| On the Fibonacci sequence and the Linear Time Invariant systems | JM Gorriz. | 2023 |
| Deep learning in crowd counting: A survey | L Deng, Q Zhou, S Wang, JM Górriz, Y Zhang. | 2023 |
| Deep Learning for Personalized Health Monitoring and Prediction: A Review | S RKNVP, R Damaševicˇius, SK Jagatheesaperumal, S Hussain, .... | 2023 |
| SCNN: A Explainable Swish-based CNN and Mobile App for COVID-19 Diagnosis | YD Zhang, Y Pei, JM Górriz. | 2023 |
| Deep Learning and a Vision Transformer for Medical Image Analysis | Y Zhang, J Wang, JM Gorriz, S Wang. | 2023 |
| Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data | D Castillo-Barnes, FJ Martinez-Murcia, C Jimenez-Mesa, JE Arco, .... | 2023 |
| Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data | D Castillo-Barnes, FJ Martinez-Murcia, C Jimenez-Mesa, JE Arco, .... | 2023 |
| Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data | D Castillo-Barnes, FJ Martinez-Murcia, C Jimenez-Mesa, JE Arco, .... | 2023 |
| Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends | JM Górriz, I Álvarez-Illán, A Álvarez-Marquina, JE Arco, M Atzmueller, .... | 2023 |
| Deep Learning and Vision Transformer for Medical Image Analysis | Y Zhang, J Wang, JM Gorriz, S Wang. | 2023 |
| Emotion recognition in EEG signals using deep learning methods: A review | M Jafari, A Shoeibi, M Khodatars, S Bagherzadeh, A Shalbaf, DL García, .... | 2023 |
| Into the Next Sun: A Restart in Current Alzheimer Research | JM Górriz Sáez. | 2023 |
| Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023 | M Jafari, D Sadeghi, A Shoeibi, H Alinejad-Rokny, A Beheshti, DL García, .... | 2023 |
| Phenotype and natural history of mitochondrial membrane protein-associated neurodegeneration | V Iankova, P Sparber, M Rohani, P Dusek, B Büchner, I Karin, .... | 2023 |
| Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects | C Jimenez-Mesa, JE Arco, FJ Martinez-Murcia, J Suckling, J Ramirez, .... | 2023 |
| Enhancing diagnostic accuracy in neuroimaging through machine learning: advancements in statistical classification and mapping | C Jiménez Mesa. | 2023 |
| Using XAI in the Clock Drawing Test to reveal the cognitive impairment pattern. | C Jiménez-Mesa, JE Arco, M Valentí-Soler, B Frades-Payo, .... | 2023 |
| MACHINE LEARNING IN SMALL SAMPLE NEUROIMAGING STUDIES: NOVEL MEASURES FOR SCHIZOPHRENIA ANALYSIS | J Suckling, G Murray, J Ramírez, C Jiménez-Mesa, JM Gorriz. | 2023 |
| Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023 | M Jafari, D Sadeghi, A Shoeibi, H Alinejad-Rokny, A Beheshti, DL García, .... | 2023 |
| Stability Analysis of Dynamic General Type-2 Fuzzy Control System With Uncertainty | Z Namadchian, A Shoeibi, A Zare, JM Gorriz, HK Lam, SH Ling. | 2023 |
| Statistical significance maps based on machine learning. On the use of data-dependent upper bounds | F Segovia, J Ramírez, JM Górriz. | 2023 |
| Using Data Mining Techniques to Analyze Facial Expression Motion Vectors | M Roshanzamir, R Alizadehsani, M Roshanzamir, A Shoeibi, JM Gorriz, .... | 2023 |
| EAYv3-CF: Ensemble Learning With Attention-Based Yv3 Combined With CF Loss for Obscenity Detection | S Samal, YD Zhang, JMG Saez, SH Wang, BK Balabantaray, R Nayak. | 2023 |
| Automated Diagnosis of Cardiovascular Disease on Cardiovascular Magnetic Resonance Imaging Using Deep Learning Models: A Review | M Jafari, A Shoeibi, M Khodatars, N Ghassemi, P Moridian, .... | 2023 |
| PeMNet for Pectoral Muscle Segmentation | X Yu, SH Wang, JM Górriz, XW Jiang, DS Guttery, YD Zhang. | 2022 |
| A hypothesis-driven method based on machine learning for neuroimaging data analysis | JM Gorriz, R Martin-Clemente, CG Puntonet, A Ortiz, J Ramirez, .... | 2022 |
| New insights into the evaluation of peripheral nerves lesions: a survival guide for beginners | T Martín-Noguerol, R Barousse, A Luna, M Socolovsky, JM Górriz, .... | 2022 |
| Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images | D Castillo-Barnes, C Jimenez-Mesa, FJ Martinez-Murcia, .... | 2022 |
| Correction to: New insights into the evaluation of peripheral nerves lesions: a survival guide for beginners | T Martín-Noguerol, R Barousse, A Luna, M Socolovsky, JM Górriz, .... | 2022 |
| An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works | D Sadeghi, A Shoeibi, N Ghassemi, P Moridian, A Khadem, .... | 2022 |
| Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images | JA Simón-Rodríguez, FJ Martinez-Murcia, J Ramírez, D Castillo-Barnes, .... | 2022 |
| Sleep Apnea Diagnosis Using Complexity Features of EEG Signals | B Gholami, MH Behboudi, A Khadem, A Shoeibi, JM Gorriz. | 2022 |
| Covid-19 Detection by Wavelet Entropy and Self-adaptive PSO | W Wang, SH Wang, JM Górriz, YD Zhang. | 2022 |
| Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning | A Ortiz, JE Arco, MA Formoso, NJ Gallego-Molina, I Rodríguez-Rodríguez, .... | 2022 |
| Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test | C Jiménez-Mesa, JE Arco, M Valentí-Soler, B Frades-Payo, .... | 2022 |
| Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks | JE Arco, A Ortiz, D Castillo-Barnes, JM Górriz, J Ramírez. | 2022 |
| Automatic Diagnosis of Myocarditis in Cardiac Magnetic Images Using CycleGAN and Deep PreTrained Models | A Shoeibi, N Ghassemi, J Heras, M Rezaei, JM Gorriz. | 2022 |
| Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson’s Disease | D Castillo-Barnes, JE Arco, C Jimenez-Mesa, J Ramirez, JM Górriz, .... | 2022 |
| Representational Similarity Analysis: A Preliminary Step to fMRI-EEG Data Fusion in MVPAlab | D López-García, JM González-Peñalver, JM Górriz, M Ruz. | 2022 |
| CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources | D Castillo-Barnes, J Merino-Chica, R Garcia-Diaz, C Jimenez-Mesa, .... | 2022 |
| RDNet: ResNet-18 with Dropout for Blood Cell Classification | Z Zhu, Z Ren, SH Wang, JM Górriz, YD Zhang. | 2022 |
| Automatic Diagnosis of Schizophrenia in EEG Signals Using Functional Connectivity Features and CNN-LSTM Model | A Shoeibi, M Rezaei, N Ghassemi, Z Namadchian, A Zare, JM Gorriz. | 2022 |
| ConvNet-CA: A Lightweight Attention-Based CNN for Brain Disease Detection | H Zhu, J Wang, SH Wang, YD Zhang, JM Górriz. | 2022 |
| Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease | C Jimenez-Mesa, D Castillo-Barnes, JE Arco, F Segovia, J Ramirez, .... | 2022 |
| Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging | F Segovia, J Ramírez, D Salas-Gonzalez, IA Illán, FJ Martinez-Murcia, .... | 2022 |
| Automatic Diagnosis of Schizophrenia and Attention Deficit Hyperactivity Disorder in rs-fMRI Modality using Convolutional Autoencoder Model and Interval Type-2 Fuzzy Regression | A Shoeibi, N Ghassemi, M Khodatars, P Moridian, A Khosravi, A Zare, .... | 2022 |
| AdaD-FNN for Chest CT-Based COVID-19 Diagnosis | X Yao, Z Zhu, C Kang, SH Wang, JM Gorriz, YD Zhang. | 2022 |
| DSNN: A DenseNet-Based SNN for Explainable Brain Disease Classification | Z Zhu, S Lu, SH Wang, JM Gorriz, YD Zhang. | 2022 |
| Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review | P Moridian, N Ghassemi, M Jafari, S Salloum-Asfar, D Sadeghi, .... | 2022 |
| Intelligent Recognition and Detection in Neuroimaging | YD Zhang, G Castellanos-Dominguez, Y Huo, JM Gorriz, R Alizadehsani. | 2022 |
| Frequency and Longitudinal Course of Motor Signs In Genetic Frontotemporal Dementia | S Schönecker, FJ Martinez-Murcia, BS Rauchmann, N Franzmeier, C Prix, .... | 2022 |
| Uncertainty-driven ensembles of multi-scale deep architectures for image classification | JE Arco, A Ortiz, J Ramírez, FJ Martínez-Murcia, YD Zhang, JM Górriz. | 2022 |
| An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works | A Shoeibi, P Moridian, M Khodatars, N Ghassemi, M Jafari, .... | 2022 |
| Preparatory neural activity differs between Selective Attention and Perceptual Expectations | JMG Penalver, D Lopez-Garcia, C Gonzalez-Garcia, B Aguado-Lopez, .... | 2022 |
| A hardware efficient intra-cortical neural decoding approach based on spike train temporal information | D Katoozian, H Hosseini-Nejad, MR Abolghasemi Dehaqani, A Shoeibi, .... | 2022 |
| Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification | JE Arco, A Ortiz, J Ramírez, FJ Martínez-Murcia, YD Zhang, J Broncano, .... | 2022 |
| Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review | M Jafari, A Shoeibi, M Khodatars, N Ghassemi, P Moridian, N Delfan, .... | 2022 |
| Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence | M Jafari, A Shoeibi, N Ghassemi, J Heras, A Khosravi, SH Ling, .... | 2022 |
| A non-parametric statistical inference framework for Deep Learning in current neuroimaging | C Jimenez-Mesa, J Ramirez, J Suckling, J Vöglein, J Levin, JM Gorriz, .... | 2022 |
| Modern Forms and New Challenges in Medical Sensors and Body Area Networks | Y Zhang, JM Gorriz, S Wang. | 2022 |
| Diagnosis of Brain Diseases in Fusion of Neuroimaging Modalities Using Deep Learning: A Review | A Shoeibi, M Khodatars, M Jafari, N Ghassemi, P Moridian, R Alizadesani, .... | 2022 |
| An Evolutionary Attention-Based Network for Medical Image Classification | H Zhu, J Wang, SH Wang, R Raman, JM Gorriz, YD Zhang. | 2022 |
| Top-down specific preparatory activations for Selective Attention and Perceptual Expectations | JMG Penalver, D Lopez-Garcia, C Gonzalez-Garcia, B Aguado-Lopez, .... | 2022 |
| New insights into the evaluation of peripheral nerves lesions: a survival guide for beginners (vol 2022, pg, 2022) | T Martin-Noguerol, R Barousse, A Luna, M Socolovsky, JM Gorriz, .... | 2022 |
| PSTCNN: Explainable COVID-19 diagnosis using PSO-guided self-tuning CNN | W Wang, JM Gorriz Sáez. | 2022 |
| Standardization of Agnostic Learning Techniques in Neuroimaging: a Case Study in EEG | C Jimenez-Mesa, JM Peñalver, D Lopez-Garcia, J Ramirez, .... | 2022 |
| Ensemble Learning Using Weighted Convolutional Neural Networks for Parkinson’s Disease | D Castillo-Barnes, R Garcia-Diaz, J Merino-Chica, F Segovia, .... | 2022 |
| Multilevel Modelling of Parkinson’s Disease Symptom Progression in 123I FP-CIT SPECT | JAS Rodríguez, FJ Martinez-Murcia, J Ramirez, D Castillo-Barnes, .... | 2022 |
| Analysis of the Neurological Hallmarks of COVID-19. A Multivariate Approach Using 18F-FDG-PET Data | F Segovia, J Ramírez, D Castillo-Barnes, C Jimenez-Mesa, .... | 2022 |
| RETRACTED: BCNet: A Novel Network for Blood Cell Classification | Z Zhu, S Lu, SH Wang, JM Górriz, YD Zhang. | 2022 |
| Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy | FJ Martinez-Murcia, A Ortiz, J Ramírez, JM Górriz, R Cruz. | 2021 |
| Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images | JE Arco, A Ortiz, J Ramírez, JM Gorriz. | 2021 |
| Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images | JE Arco, A Ortiz, J Ramírez, FJ Martínez-Murcia, YD Zhang, J Broncano, .... | 2021 |
| Improved breast cancer classification through combining graph convolutional network and convolutional neural network | YD Zhang, SC Satapathy, DS Guttery, JM Górriz, SH Wang. | 2021 |
| Uncertainty-aware semi-supervised method using large unlabelled and limited labeled COVID-19 data | R Alizadehsani, D Sharifrazi, NH Izadi, JH Joloudari, A Shoeibi, JM Gorriz, .... | 2021 |
| Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling | YD Zhang, SC Satapathy, D Wu, DS Guttery, JM Górriz, SH Wang. | 2021 |
| An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works | D Sadeghi, A Shoeibi, N Ghassemi, P Moridian, A Khadem, .... | 2021 |
| Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review | A Shoeibi, M Khodatars, M Jafari, P Moridian, M Rezaei, R Alizadehsani, .... | 2021 |
| Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning | N Ghassemi, A Shoeibi, M Khodatars, J Heras, A Rahimi, A Zare, .... | 2021 |
| Explainable diagnosis of secondary pulmonary tuberculosis by graph rank-based average pooling neural network | SH Wang, V Govindaraj, JM Gorriz, X Zhang, YD Zhang. | 2021 |
| Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods | N Ayoobi, D Sharifrazi, R Alizadehsani, A Shoeibi, JM Gorriz, H Moosaei, .... | 2021 |
| CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients | F Khozeimeh, D Sharifrazi, NH Izadi, JH Joloudari, A Shoeibi, .... | 2021 |
| Deep Learning in Medical Image Analysis | Y Zhang, JM Gorriz, Z Dong. | 2021 |
| Advances in Multimodality Data Fusion in Neuroimaging | YD Zhang, JM Gorriz, Z Dong. | 2021 |
| Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability | C Jiménez-Mesa, J Ramírez, J Suckling, J Vöglein, J Levin, JM Górriz, .... | 2021 |
| Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems | AA Kekha Javan, JM Gorriz Sáez. | 2021 |
| A connection between pattern classification by machine learning and statistical inference with the General Linear Model | JM Gorriz, J Suckling, J Ramirez, C Jimenez-Mesa, F Segovia. | 2021 |
| Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients | F Khozeimeh, D Sharifrazi, NH Izadi, JH Joloudari, A Shoeibi, .... | 2021 |
| Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works | A Shoeibi, N Ghassemi, M Khodatars, M Jafari, P Moridian, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer’s disease | JE Arco, J Ramírez, JM Górriz, M Ruz, .... | 2021 |
| What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors | M Roshanzamir, R Alizadehsani, M Roshanzamir, A Shoeibi, JM Gorriz, .... | 2021 |
| Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies | A Shoeibi, N Ghassemi, M Khodatars, P Moridian, R Alizadehsani, A Zare, .... | 2021 |
| Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models | A Shoeibi, D Sadeghi, P Moridian, N Ghassemi, J Heras, R Alizadehsani, .... | 2021 |
| Introduction to the Special Issue on Recent Advances on Deep Learning for Medical Signal Analysis | YD Zhang, Z Dong, JM Gorriz, C Cattani, M Yang. | 2021 |
| Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects | S Wang, ME Celebi, YD Zhang, X Yu, S Lu, X Yao, Q Zhou, MG Miguel, .... | 2021 |
| IEEE Access Special Section Editorial: Emerging Deep Learning Theories and Methods for Biomedical Engineering | YD Zhang, Z Dong, JM Gorriz, Y Jiang, M Yang, SH Wang. | 2021 |
| MVPAlab: A Machine Learning decoding toolbox for multidimensional electroencephalography data | D López-García, JMG Peñalver, JM Górriz, M Ruz. | 2021 |
| A Vector Quantization-Based Spike Compression Approach Dedicated to Multichannel Neural Recording Microsystems | N Ahmadi-Dastgerdi, H Hosseini-Nejad, H Amiri, A Shoeibi, JM Gorriz. | 2021 |
| NAGNN: Classification of COVID‐19 based on neighboring aware representation from deep graph neural network | S Lu, Z Zhu, JM Gorriz, SH Wang, YD Zhang. | 2021 |
| BOLD Coupling between Lesioned and Healthy Brain Is Associated with Glioma Patients’ Recovery | R Romero-Garcia, MG Hart, RAI Bethlehem, A Mandal, M Assem, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Introduction to the Special Issue on Explainable Deep Learning for Medical Image Computing | YD Zhang, JM Gorriz, Z Dong. | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models | A Shoeibi, D Sadeghi, P Moridian, N Ghassemi, J Heras, R Alizadehsani, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| A Vector Quantization-Based Spike Compression Approach Dedicated to Multichannel Neural Recording Microsystems. | N Ahmadi-Dastgerdi, H Hosseini-Nejad, H Amiri, A Shoeibi, JM Gorriz. | 2021 |
| Tiled Sparse Coding in Eigenspaces for Image Classification | JE Arco, A Ortiz, J Ramírez, YD Zhang, JM Górriz. | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease | JE Arco Martín, J Ramírez Pérez De Inestrosa, JM Gorriz Sáez, .... | 2021 |
| BCNet: a novel network for blood cell classification | Z Zhu, S Lu, SH Wang, JM Górriz, YD Zhang, M Gorriz, YD Zhang. | 2021 |
| Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data | R Alizadehsani, D Sharifrazi, NH Izadi, JH Joloudari, A Shoeibi, JM Gorriz, .... | 2021 |
| CNN-AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID-19 patients | F Khozeimeh, D Sharifrazi, NH Izadi, JH Joloudari, A Shoeibi, .... | 2021 |
| BCNet: A Novel Network for Blood Cell Classification. | Z Zhu, S Lu, SH Wang, JM Górriz, YD Zhang. | 2021 |
| BOLD Coupling between Lesioned and Healthy Brain Is Associated with Glioma Patients’ Recovery. Cancers 2021, 13, 5008 | R Romero-Garcia, MG Hart, RAI Bethlehem, A Mandal, M Assem, .... | 2021 |
| BOLD Coupling between Lesioned and Healthy Brain Is Associated with Glioma Patients’ Recovery. Cancers 2021, 13, 5008 | R Romero-Garcia, MG Hart, RAI Bethlehem, A Mandal, M Assem, .... | 2021 |
| Deep Residual Transfer Learning for Automatic Diabetic Retinopathy Grading. | FJ Martínez-Murcia, A Ortiz-García, J Ramírez, JM Górriz-Sáez, R Cruz. | 2021 |
| Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods. Results in Physics, 27: 104495 | N Ayoobi, D Sharifrazi, R Alizadehsani, A Shoeibi, JM Gorriz, H Moosaei, .... | 2021 |
| Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning | D Castillo-Barnes, L Su, J Ramírez, D Salas-Gonzalez, .... | 2020 |
| Hardware implementation of real-time pedestrian detection system | HM Abdelhamid Helali, Haythem Ameur, J. M. Górriz, J. Ramírez. | 2020 |
| Multivariate pattern analysis techniques for electroencephalography data to study Flanker interference effects | D Lopez-Garcia, A Sobrado, JMG Penalver, JM Gorriz, M Ruz. | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Neural Computation links Neuroscience: a synergistic approach | JM Ferrández, E Barakova, JM Gorriz. | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Identifying priority conservation areas in a Saharan environment by highlighting the endangered Cuvier’s Gazelle as a flagship species | HSF Javier, JM Gil-Sánchez, Á Begoña, C Inmaculada, A Ángel, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia | FJ Martinez-Murcia, A Ortiz, JM Gorriz, J Ramirez, PJ Lopez-Abarejo, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Artificial intelligence within the interplay between natural and artificial Computation: advances in data science, trends and applications | JM Górriz, J Ramírez, A Ortíz, FJ Martínez-Murcia, F Segovia, J Suckling, .... | 2020 |
| Optimized One vs One approach in multiclass classification for early Alzheimer’s Disease and Mild Cognitive Impairment diagnosis | C Jiménez-Mesa, IA Illan, A Martín-Martín, D Castillo-Barnes, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer’s disease | F Segovia, J Ramírez, D Castillo-Barnes, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Expectation-Maximization algorithm for finite mixture of α-stable distributions | D Castillo-Barnes, FJ Martinez-Murcia, J Ramírez, JM Górriz, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation | YD Zhang, Z Dong, SH Wang, X Yu, X Yao, Q Zhou, H Hu, M Li, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson'S Disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Expectation–Maximization algorithm for finite mixture of α-stable distributions | D Castillo-Barnes, FJ Martinez-Murcia, J Ramírez, JM Górriz, .... | 2020 |
| Deep Learning in Aging Neuroscience | J Ramírez, JM Gorriz, A Ortiz, JH Cole, M Dyrba. | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease. | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| 896P Analysis of DLBCL genetic databases using machine learning | SS Lopez, J Guarino, D Castillo-Barnes, JMJ García, J Ramirez, .... | 2020 |
| Analysis of DLBCL genetic databases using machine learning: 896P | SS Lopez, J Guarino, D Castillo-Barnes, JJ García, J Ramirez, .... | 2020 |
| Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease. | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network | SH Wang, VV Govindaraj, JM Górriz, X Zhang, YD Zhang. | 2020 |
| A seven-layer convolutional neural network for chest CT based COVID-19 diagnosis using stochastic pooling | YD Zhang, SC Satapathy, LY Zhu, JM Górriz, SH Wang. | 2020 |
| Morphological characterization of functional brain imaging by isosurface analysis in Parkinson’s disease | D Castillo-Barnes, FJ Martinez-Murcia, A Ortiz, D Salas-Gonzalez, .... | 2020 |
| Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images | JE Arco, A Ortiz, J Ramirez, FJ Martínez-Murcia, YD Zhang, JM Górriz. | 2020 |
| Artificial intelligence in radiology: relevance of collaborative work between radiologists and engineers for building a multidisciplinary team | T Martín-Noguerol, F Paulano-Godino, R López-Ortega, JM Górriz, .... | 2020 |
| A connection between the pattern classification problem and the General Linear Model for statistical inference | JM Gorriz, J Suckling. | 2020 |
| Spatial Registration of Neuroimaging Data: Analysis of the Convenience of Performing Non-Affine Transformations | F Bayo, D Castillo-Barnes, D Salas-Gonzalez, C Jiménez-Mesa, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Automated detection and forecasting of covid-19 using deep learning techniques: A review | A Shoeibi, M Khodatars, R Alizadehsani, N Ghassemi, M Jafari, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Arti cial intelligence within the interplay between natural and arti cial Computation: advances in data science, trends and applications | JM Gorriz Sáez, J Ramírez Pérez De Inestrosa, F Segovia Román, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
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| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Practical use of alpha-shapes in neuroimaging for Parkinson's Disease diagnosis | JM Mateos-Ramos, D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Estimating the Severity of Alzheimer's Disease Using Convolutional Neural Networks and Magnetic Resonance Imaging Data | P Manresa-Nebot, FJ Martinez-Murcia, IA Illan, JM Górriz, J Ramírez, .... | 2020 |
| Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities. | JM Górriz-Sáez, C Jiménez-Mesa, R Romero-García, F Segovia, .... | 2020 |
| Periodogram Connectivity of EEG Signals for the Detection of Dyslexia | FJ Martínez-Murcia, A Ortiz, R Morales-Ortega, PJ López, JL Luque, .... | 2019 |
| Support Vector Machine Failure in Imbalanced Datasets | IA Illan, JM Górriz, J Ramirez, FJ Martínez-Murcia, D Castillo-Barnes, .... | 2019 |
| Comparison Between Affine and Non-affine Transformations Applied to I-FP-CIT SPECT Images Used for Parkinson’s Disease Diagnosis | D Castillo-Barnes, FJ Martinez-Murcia, F Segovia, IA Illán, .... | 2019 |
| Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling. | A Ortiz, J Munilla, FJ Martínez-Murcia, JM Górriz, J Ramírez. | 2019 |
| A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms | JM Górriz, J Ramírez, F Segovia, FJ Martínez, MC Lai, MV Lombardo, .... | 2019 |
| Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders | FJ Martinez-Murcia, A Ortiz, JM Gorriz, J Ramirez, D Castillo-Barnes. | 2019 |
| Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology. | F Segovia, JM Górriz, J Ramírez, FJ Martínez-Murcia, D Castillo-Barnes. | 2019 |
| On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging | JM Górriz, J Ramirez, J Suckling, MRC AIMS Consortium. | 2019 |
| Multivariate Pattern Analysis of Electroencephalography Data in a Demand-Selection Task | D López-García, A Sobrado, JM González-Peñalver, JM Górriz, M Ruz. | 2019 |
| Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis | M Martínez-Ibañez, A Ortiz, J Munilla, D Salas-Gonzalez, JM Górriz, .... | 2019 |
| Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes | A Ortiz, FJM Murcia, J Munilla, JM Górriz, J Ramírez. | 2019 |
| Parkinson’s Disease Detection using isosurfaces-based features and Convolutional Neural Networks | A Ortiz, J Munilla, M Martínez, JM Gorriz, J Ramírez, D Salas-Gonzalez. | 2019 |
| Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression | SH Wang, YD Zhang, M Yang, B Liu, J Ramirez, JM Gorriz. | 2019 |
| Multimodal and Longitudinal Bioimaging Methods for Characterizing the Progressive Course of Dementia | J Ramírez, JM Górriz, S Teipel. | 2019 |
| Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders. | FJ Martinez-Murcia, A Ortiz, JM Gorriz, J Ramirez, D Castillo-Barnes. | 2019 |
| Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders. | FJ Martinez-Murcia, A Ortiz, JM Gorriz, J Ramirez, D Castillo-Barnes. | 2019 |
| Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders. | FJ Martinez-Murcia, A Ortiz, JM Gorriz, J Ramirez, D Castillo-Barnes. | 2019 |
| Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders. | FJ Martinez-Murcia, A Ortiz, JM Gorriz, J Ramirez, D Castillo-Barnes. | 2019 |
| Multimodal and Longitudinal | J Ramírez, JM Górriz, S Teipel. | 2019 |
| Multivariate pattern analysis techniques for electroencephalography data to study interference effects | D López-García, A Sobrado, JMG Peñalver, JM Górriz, M Ruz. | 2019 |
| Empirical functional pca for 3d image feature extraction through fractal sampling | A Ortiz, J Munilla, FJ Martínez-Murcia, JM Górriz, J Ramírez. | 2019 |
| Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology | F Segovia, JM Gorriz Sáez, J Ramírez Pérez De Inestrosa, .... | 2019 |
| Granger Causality-based Information Fusion Applied to Electrical Measurements from Power Transformers | J Rodrguez-Rivero, J Ramirez, FJ Martínez-Murcia, F Segovia, A Ortiz, .... | 2019 |
| Statistical Agnostic Mapping: A Framework In Neuroimaging Based On Concentration Inequalities | JM Gorriz, S Group. | 2019 |
| Power Transformer Forecasting in Smart Grids Using NARX Neural Networks | J Ramírez, FJ Martínez-Murcia, F Segovia, A Ortiz, D Salas-González, .... | 2019 |
| Long Short-Term Memory Networks for the Prediction of Transformer Temperature for Energy Distribution Smart Grids | FJ Martinez-Murcia, J Ramirez, F Segovia, A Ortiz, S Carrillo, J Leiva, .... | 2019 |
| Prediction of transformer temperature for energy distribution smart grids using recursive neural networks | FJ Martínez-Murcia, J Ramírez, F Segovia, A Ortiz, S Carrillo, J Leiva, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Power transformer monitoring based on a non-linear autoregressive neural network model with exogenous inputs | J Ramírez, FJ Martínez-Murcia. | 2019 |
| Partial Least Squares for the Characterization of Meditation and Attention States | J Garcia-Torres, JM Gorriz, J Ramirez, FJ Martinez-Murcia. | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Theory and Applications of Time Series Analysis | O Valenzuela, F Rojas, H Pomares, I Rojas. | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Parkinson's disease detection using isosurfaces-based features and convolutional neural networks | A Ortiz, J Munilla, M Martínez-Ibañez, JM Górriz, J Ramírez, .... | 2019 |
| Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares | J Ramírez, JM Górriz, A Ortiz, FJ Martínez-Murcia, F Segovia, .... | 2018 |
| Machine learning for accurate differentiation of benign and malignant breast tumors presenting as non-mass enhancement | IA Illan, A Tahmassebi, J Ramirez, JM Gorriz, SY Foo, K Pinker-Domenig, .... | 2018 |
| Automated non-mass enhancing lesion detection and segmentation in breast DCE-MRI. | IA Illan, J Ramirez, JM Górriz, K Pinker, A Meyer-Baese. | 2018 |
| Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging | IA Illan, J Ramirez, JM Gorriz, MA Marino, D Avendano, T Helbich, .... | 2018 |
| Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis | IA Illan, J Ramirez, JM Gorriz, K Pinker, A Meyer-Baese. | 2018 |
| 3D Gabor Filters for Chest Segmentation in DCE-MRI | IA Illan, JP Matos, J Ramirez, JM Górriz, S Foo, A Meyer-Baese. | 2018 |
| Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets | IA Illan, J Ramirez, JM Gorriz, K Pinker, A Meyer-Baese. | 2018 |
| Alzheimer’s disease computer-aided diagnosis: histogram-based analysis of regional MRI volumes for feature selection and classification | E Ruiz, J Ramírez, JM Górriz, J Casillas, .... | 2018 |
| Multivariate approach for Alzheimer’s disease detection using stationary wavelet entropy and predator-prey particle swarm optimization | Y Zhang, S Wang, Y Sui, M Yang, B Liu, H Cheng, J Sun, W Jia, P Phillips, .... | 2018 |
| Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders | F Segovia, JM Górriz, J Ramírez, FJ Martínez-Murcia, M García-Pérez. | 2018 |
| Discriminative sparse features for Alzheimer's disease diagnosis using multimodal image data | A Ortiz, F Lozano, JM Gorriz, J Ramirez, FJ Martinez Murcia, .... | 2018 |
| Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed? | FJ Martínez-Murcia, JM Górriz, J Ramirez, A Ortiz. | 2018 |
| Retinal blood vessel segmentation by multi-channel deep convolutional autoencoder | A Ortiz, J Ramírez, R Cruz-Arándiga, MJ García-Tarifa, .... | 2018 |
| Robust ensemble classification methodology for I123-ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson’s disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Deep convolutional autoencoders vs PCA in a highly-unbalanced Parkinson’s disease dataset: a DaTSCAN study | FJ Martinez-Murcia, A Ortiz, JM Gorriz, J Ramirez, D Castillo-Barnes, .... | 2018 |
| Assessing mild cognitive impairment progression using a spherical brain mapping of magnetic resonance imaging | FJ Martinez-Murcia, JM Górriz, J Ramírez, F Segovia, D Salas-Gonzalez, .... | 2018 |
| Classification improvement for Parkinson’s disease diagnosis using the gradient magnitude in DaTSCAN SPECT images | D Castillo-Barnes, F Segovia, FJ Martinez-Murcia, D Salas-Gonzalez, .... | 2018 |
| Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach | F Segovia, JM Górriz, J Ramírez, FJ Martínez-Murcia, D Castillo-Barnes, .... | 2018 |
| Machine-learning neuroimaging challenge for automated diagnosis of mild cognitive impairment: Lessons learnt. | I Castiglioni, C Salvatore, J Ramírez, JM Górriz. | 2018 |
| Quantification of gait parameters with inertial sensors and inverse kinematics | K Bötzel, A Olivares, JP Cunha, JMG Sáez, R Weiss, A Plate. | 2018 |
| Usefulness of Dual-Point Amyloid PET Scans in Appropriate Use Criteria: A Multicenter Study | F Segovia, M Gómez-Río, R Sánchez-Vañó, JM Górriz, J Ramírez, .... | 2018 |
| Automatic detection of sleep disorders: multi-class automatic classification algorithms based on support vector machines | D López-García, M Ruz, JRP de Inestrosa, JMG Sáez. | 2018 |
| Using CT data to improve the quantitative analysis of 18F-FBB PET neuroimages | F Segovia, R Sánchez-Vañó, JM Górriz, J Ramírez, P Sopena-Novales, .... | 2018 |
| Florbetapir Image Analysis for Alzheimer's Disease Diagnosis | I Sahumbaiev, A Popov, N Ivanushkina, J Ramírez, JM Górriz. | 2018 |
| Multivariate Approaches in Neuroimaging: Assessing the Connectome of Alzheimer's Disease. | JM Górriz, E Iglesias-González, J Ramirez. | 2018 |
| Procedimientos de diagnóstico asistido por ordenador en neuroimagen funcional. Utilidad del 123i-ioflupano spect en el diagnóstico diferencial del síndrome parkinsoniano | MM Caballero. | 2018 |
| A Deep Decomposition of MRI to Explore Neurodegeneration in Alzheimer’s Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, D Castillo-Barnes, F Segovia, .... | 2018 |
| [123I] FP-CIT SPECT brain imaging for Parkinson’s diagnosis using contour lines | M Molina-Molina, D Castillo-Barnes, FJ Martínez-Murcia, F Segovia, .... | 2018 |
| Segmentation of Molecular Neuroimages Using Hidden Markov Random Fields in Order to Improve the Assisted Diagnosis of Neurodegenerative Diseases | JM Górriz, JA Gómez, J Ramírez, FJ Martinez-Murcia, D Castillo-Barnes, .... | 2018 |
| Analysis of I [123]-Ioflupane SPECT intensity iso-surfaces to assist the diagnosis of Parkinsonism | D Castillo-Barnes, D Salas-Gonzalez, J Ramírez, FJ Martínez-Murcia, .... | 2018 |
| Improved separation of Alzheimer’s disease and related disorders using dual-point amyloid-PET | F Segovia, JM Górriz, J Ramírez, D Castillo-Barnes, FJ Martinez-Murcia, .... | 2018 |
| Ensemble classification of heterogeneous biomarkers in the diagnosis of Parkinsonism | D Castillo-Barnes, J Ramírez, FJ Martínez-Murcia, F Segovia, .... | 2018 |
| Convolutional neural networks for neuroimaging in Parkinson’s disease: is preprocessing needed? | FJ Martinez-Murcia, JM Górriz, J Ramirez, A Ortiz. | 2018 |
| 3D-CNN HadNet classification of MRI for Alzheimer’s Disease diagnosis | I Sahumbaiev, A Popov, J Ramírez, JM Górriz, A Ortiz. | 2018 |
| Machine-learning neuroimaging challenge for automated diagnosis of mild cognitive impairment: Lessons learnt | I Castiglioni, C Salvatore, J Ramirez, J Górriz. | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Ensemble Deep Learning on Large, Mixed-Site FMRI Datasets in Autism and Other Tasks | M Leming, JM Gorriz, J Suckling. | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Procesamiento, análisis y clasificación de neuroimagen con arquitecturas Deep Learning híbridas | AO García, FJM Murcia, JM Fajardo, JM Górriz, J Ramírez, F Segovia. | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Automated non-mass enhancing lesion detection and segmentation in breast DCE-MRI | IA Illan, J Ramirez, JM Górriz, K Pinker, A Meyer-Baese. | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Retinal blood vessel segmentation by multichannel deep convolutional autoencoder | MJ Garcıa-Tarifa, FJ Martınez-Murcia, JM Górriz. | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease | D Castillo-Barnes, J Ramírez, F Segovia, FJ Martínez-Murcia, .... | 2018 |
| Theory and Applications of Time Series Analysis Selected Contributions from ITISE 2018 | O Valenzuela, F Rojas, LJ Herrera, H Pomares, I Rojas. | 2018 |
| Procedimientos de diagnóstico asistido por ordenador en neuroimagen funcional: utilidad del 123i-ioflupano spect en el diagnóstico diferencial del síndrome parkinsoniano | MM Caballero. | 2018 |
| Label Aided Deep Ranking for the Automatic Diagnosis of Parkinsonian Syndromes. | A Ortiz-García, FJ Martínez-Murcia, J Munilla-Fajardo, JM Górriz-Sáez, .... | 2018 |
| Discriminative Sparse Features for Alzheimer’s Disease Diagnosis using multimodal image data. | A Ortiz-García, F Lozano Cuadra, JM Górriz-Sáez, J Ramírez, .... | 2018 |
| Multivariate approaches in neuroimaging: Assessing the connectome of Alzheimer’s disease. | JM Górriz, E Iglesias-González, J Ramirez. | 2018 |
| Automated Detection and Segmentation of Nonmass‐Enhancing Breast Tumors with Dynamic Contrast‐Enhanced Magnetic Resonance Imaging | IA Illan, J Ramirez, JM Gorriz, MA Marino, D Avendano, T Helbich, .... | 2018 |
| Multivariate Approaches in Neuroimaging: Assessing the Connectome of Alzheimer’s Disease | JM Górriz, E Iglesias-González, J Ramirez. | 2018 |
| Independent component analysis-support vector machine-based computer-aided diagnosis system for Alzheimer’s with visual support | L Khedher, IA Illán, JM Górriz, J Ramírez, A Brahim, A Meyer-Baese. | 2017 |
| Case-based statistical learning: a non-parametric implementation with a conditional-error rate SVM | JM Górriz, J Ramírez, J Suckling, IA Illán, A Ortiz, FJ Martínez-Murcia, .... | 2017 |
| A 3D convolutional neural network approach for the diagnosis of Parkinson’s disease | FJ Martinez-Murcia, A Ortiz, JM Górriz, J Ramírez, F Segovia, .... | 2017 |
| A semi-supervised learning approach for model selection based on class-hypothesis testing | JM Gorriz, J Ramirez, J Suckling, FJ Martínez-Murcia, IA Illan, F Segovia, .... | 2017 |
| Functional brain imaging synthesis based on image decomposition and kernel modeling: Application to neurodegenerative diseases | FJ Martinez-Murcia, JM Górriz, J Ramírez, IA Illán, F Segovia, .... | 2017 |
| Evaluating Alzheimer’s disease diagnosis using texture analysis | FJ Martinez-Murcia, JM Górriz, J Ramírez, F Segovia, D Salas-Gonzalez, .... | 2017 |
| Case-based statistical learning applied to SPECT image classification | JM Górriz, J Ramírez, IA Illán, FJ Martínez-Murcia, F Segovia, .... | 2017 |
| Automatic separation of Parkinsonian patients and control subjects based on the striatal morphology | F Segovia, JM Górriz, J Ramírez, FJ Martínez-Murcia, D Castillo-Barnes, .... | 2017 |
| Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes | JM Górriz, J Ramírez, M Moreno-Caballero, FJ Martínez-Murcia, A Ortiz, .... | 2017 |
| On a heavy-tailed intensity normalization of the Parkinson’s Progression Markers Initiative brain database | D Castillo-Barnes, C Argal, F Segovia, FJ Martınez-Murcia, IA Illán, .... | 2017 |
| A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI | D Castillo-Barnes, I Peis, FJ Martínez-Murcia, F Segovia, IA Illán, .... | 2017 |
| Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images | JM Górriz, J Ramírez, FJ Martínez-Murcia, IA Illán, F Segovia, .... | 2017 |
| On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance‐weighted principal component analysis | FJ Martinez‐Murcia, MC Lai, JM Gorriz, J Ramírez, AMH Young, .... | 2017 |
| Multivariate analysis of 18F-DMFP PET data to assist the diagnosis of parkinsonism | F Segovia, JM Górriz, J Ramírez, FJ Martínez-Murcia, J Levin, .... | 2017 |
| Feature Extraction | FJ Martinez-Murcia, Górriz, J M., J Ramírez. | 2017 |
| P300 brainwave extraction from EEG signals: An unsupervised approach | V Lafuente, JM Gorriz, J Ramirez, E Gonzalez. | 2017 |
| Learning longitudinal MRI patterns by SICE and deep learning: assessing the Alzheimer’s disease progression | A Ortiz, J Munilla, FJ Martínez-Murcia, JM Górriz, J Ramírez, .... | 2017 |
| Preprocessing of 18F-DMFP-PET data based on hidden markov random fields and the gaussian distribution | F Segovia, JM Górriz, J Ramírez, FJ Martínez-Murcia, D Salas-Gonzalez. | 2017 |
| Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism | F Segovia, D Salas-Gonzalez, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2017 |
| Preliminary study on unilateral sensorineural hearing loss identification via dual-tree complex wavelet transform and multinomial logistic regression | S Wang, Y Zhang, M Yang, B Liu, J Ramirez, JM Gorriz. | 2017 |
| Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease | J Munilla, A Ortiz, JM Górriz, J Ramírez, MW Weiner, P Aisen, M Weiner, .... | 2017 |
| Feature ranking for mild cognitive impairment and Alzheimer's disease diagnosis | D Domashenko, M Manko, A Popov, I Krashenyi, J Ramirez, JM Gorriz. | 2017 |
| PET Image Classification Using HHT-Based Features Through Fractal Sampling | A Ortiz, F Lozano, A Peinado, MJ Garía-Tarifa, JM Górriz, J Ramírez, .... | 2017 |
| A proposed computer-aided diagnosis system for Parkinson's disease classification using123I-FP-CIT imaging | A Brahim, L Khedher, JM Górriz, J Ramírez, H Toumi, E Lespessailles, .... | 2017 |
| Customized Descriptor for Various Obstacles Detection in Road Scene | H Ameur, A Helali, J Ramírez, JM Gorriz, R Mghaieth, H Maaref. | 2017 |
| Francisco Jesús Martínez Murcia | JRP de Inestrosa, JMG Sáez. | 2017 |
| Statistical neuroimange modeling, processing and syntheris based on texture and component analysis: Tackling the small sample size problem | FJ Martínez Murcia. | 2017 |
| Novel approaches based on decomposition methods for detecting MRI patterns in the progression of Alzheimer's Disease | L Khedher. | 2017 |
| Statistical neuroimage modeling, processing and synthesis based on texture and component analysis: Tackling the small sample size problem | FJM Murcia. | 2017 |
| Corrigendum to “RF fingerprint measurements for the identification of devices in wireless communication networks based on feature reduction and subspace transformation … | JL Padilla, P Padilla, JF Valenzuela-Valdés, J Ramírez, JM Górriz. | 2017 |
| Semi-quantitative assessment with PETRA soft-platform of 18F-Florbetaben PET in patients with cognitive impairment | R Sanchez-Vano, S Prado-Wohlwend, M Gomez-Rio, F Segovia-Roman, .... | 2017 |
| 2017 SIGNAL PROCESSING SYMPOSIUM, SPSYMPO 2017 | O Bodilovskyi, A Popov, O Viunytskyi, V Shulgin, O Panichev, Y Karplyuk, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| RF fingerprint measurements for the identification of devices in wireless communication networks based on feature reduction and subspace transformation (vol 58, pg 468, 2014) | JL Padilla, P Padilla, JF Valenzuela-Valdés, J Ramírez, JM Górriz. | 2017 |
| Corrigendum to" RF fingerprint measurements for the identification of devices in wireless communication networks based on feature reduction and subspace transformation … | JL Padilla, P Padilla, JF Valenzuela-Valdés, J Ramírez, JM Górriz. | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Evaluating methods for surveying the Endangered Cuvier's gazelle Gazella cuvieri in arid landscapes | JM Gil-Sánchez, FJ Herrera-Sánchez, B Álvarez, Á Arredondo, J Bautista, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Diseño de modelo de máquina para producción de Briquetas de huesos de aceitunas | B Ríos Vizcaíno, H Ferro, F Rivelli, JJ Cerioni, I Barón, J Saéz, ÁI Quiles, .... | 2017 |
| MRI brain segmentation using hidden Markov random fields with alpha-stable distributions | I Peis, IA Illán, FJ Martínez-Murcia, F Segovia, JM Górriz, J Ramírez, .... | 2016 |
| PETRA: A web-based system supporting computer aided diagnosis of alzheimer's disease | F Segovia, IA Illán, D Salas-Gonzalez, FJ Martínez-Murcia, A Ortiz, .... | 2016 |
| Ensembles of deep learning architectures for the early diagnosis of the Alzheimer’s disease | A Ortiz, J Munilla, JM Gorriz, J Ramirez. | 2016 |
| Wavelet entropy and directed acyclic graph support vector machine for detection of patients with unilateral hearing loss in MRI scanning | S Wang, M Yang, S Du, J Yang, B Liu, JM Gorriz, J Ramírez, TF Yuan, .... | 2016 |
| A spherical brain mapping of MR images for the detection of Alzheimer’s disease | F J Martinez-Murcia, J M Górriz, J Ramírez, A Ortiz, .... | 2016 |
| A structural parametrization of the brain using hidden Markov models-based paths in Alzheimer’s disease | FJ Martinez-Murcia, JM Górriz, J Ramírez, A Ortiz. | 2016 |
| Automated diagnosis of parkinsonian syndromes by deep sparse filtering-based features | A Ortiz, FJ Martínez-Murcia, MJ García-Tarifa, F Lozano, JM Górriz, .... | 2016 |
| Computer aided diagnosis in neuroimaging | F Martinez-Murcia, J Górriz, J Ramírez. | 2016 |
| Ensemble tree learning techniques for magnetic resonance image analysis | J Ramírez, JM Górriz, A Ortiz, P Padilla, FJ Martínez-Murcia, .... | 2016 |
| An optimal approach for selecting discriminant regions for the diagnosis of Alzheimer's disease | D Salas-Gonzalez, F Segovia, F J Martínez-Murcia, E W Lang, J M Gorriz, .... | 2016 |
| Assisting the diagnosis of neurodegenerative disorders using principal component analysis and tensorflow | F Segovia, M García-Pérez, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2016 |
| Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques | J Ramírez, JM Górriz, FJ Martínez-Murcia, F Segovia, D Salas-Gonzalez. | 2016 |
| Diagnosis of neurodegenerative diseases: the clinical approach | M Gómez-Río, MM Caballero, JM Gorriz Saez, A Mínguez-Castellanos. | 2016 |
| Using frequency analysis to improve the precision of human body posture algorithms based on Kalman filters | A Olivares, JM Górriz, J Ramírez, G Olivares. | 2016 |
| On the Use of Match Filtering for the P300 Detection | V Lafuente, JM Górriz, J Ramírez, FJ Martinez-Murcia, D Salas-Gonzalez, .... | 2016 |
| Multiclass classification of 18F-DMFP-PET data to assist the diagnosis of parkinsonism | F Segovia, JM Górriz, J Ramırez, D Salas-Gonzalez. | 2016 |
| Fuzzy Computer-Aided Alzheimer’s Disease Diagnosis Based on MRI Data | I Krashenyi, J Ramírez, A Popov, J Manuel Górriz, .... | 2016 |
| Short-term prediction of MCI to AD conversion based on longitudinal MRI analysis and neuropsychological tests | JE Arco, J Ramírez, JM Górriz, CG Puntonet, M Ruz. | 2016 |
| Editorial (Thematic Issue: Statistical Signal Processing in the Analysis, Characterization and Detection of Alzheimer's Disease) | M W Weiner, J M Górriz, J Ramírez, I Castiglioni. | 2016 |
| Combining feature extraction methods to assist the diagnosis of Alzheimer’s disease | F Segovia, J M Górriz, J Ramírez, C Phillips, .... | 2016 |
| Fuzzy computer-aided diagnosis of Alzheimer's disease using MRI and PET statistical features | I Krashenyi, A Popov, J Ramirez, JM Gorriz. | 2016 |
| Improving short-term prediction from MCI to AD by applying searchlight analysis | JE Arco, J Ramírez, CG Puntonet, JM Górriz, M Ruz. | 2016 |
| Methods for Alzheimer's desiease diagnostics | IE Krashenyi, AO Popov, H Ramirez, HM Gorriz. | 2016 |
| Fuzzy clustering methods application for Alzheimer's diseases diagnosis based on PET images | IE Krashenyi, AO Popov, H Ramirez, HM Gorriz. | 2016 |
| Functional Biomedical Images of Alzheimer's Disease a Green's Functionbased Empirical Mode Decomposition Study | S Al-Baddai, A Neubauer, AM Tomé, V Vigneron, D Salas-Gonzalez, .... | 2016 |
| Brain imaging biomarker normalization, analysis and classification methods to characterize progression of neurodegenerative diseases | A Brahim. | 2016 |
| Використання методів кластеризації в системах нечіткого виводу для діагностики хвороби Альцгеймера на основі ПЕТ-зображень | ІЕ Крашений, АО Попов, Х Рамірез, ХМ Горріз, ИЭ Крашеный, .... | 2016 |
| Метод діагностики хвороби Альцгеймера за томографічними зображеннями мозку | ІЕ Крашений, АО Попов, Х Рамірез, ХМ Горріз, ИЭ Крашеный, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Braim imaging biomaker normalization, analysis and classification methods to characterize the progression of neurodegenerative diseases | A Brahim. | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Statistical feature selection and classification models for Alzheimer's disease progression assessment | A Domínguez, J Ramírez, JM Górriz, F Segovia, D Salas-Gonzalez, .... | 2016 |
| Використання методів кластеризації в системах нечіткого виводу для діагно-стики хвороби Альцгеймера на основі ПЕТ-зображень | ІЕ Крашений, АО Попов, Х Рамірез, ХМ Горріз. | 2016 |
| Digital image analysis for automatic enumeration of malaria parasites using morphological operations | JE Arco, JM Górriz, J Ramírez, I Álvarez, CG Puntonet. | 2015 |
| Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's disease diagnosis | A Ortiz, J Munilla, I Álvarez-Illán, JM Górriz, J Ramírez, .... | 2015 |
| Building a FP-CIT SPECT brain template using a posterization approach | D Salas-Gonzalez, JM Górriz, J Ramírez, IA Illán, P Padilla, .... | 2015 |
| Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks | F Segovia, IA Illán, JM Górriz, J Ramírez, A Rominger, J Levin. | 2015 |
| Intensity normalization in the analysis of functional DaTSCAN SPECT images: The α-stable distribution-based normalization method vs other approaches | P Padilla, JM Górriz, J Ramírez, D Salas-Gonzalez, IA Illán. | 2015 |
| Independent component analysis-based classification of Alzheimer’s disease from segmented MRI data | L Khedher, J Ramírez, JM Górriz, A Brahim, IA Illán. | 2015 |
| A volumetric radial LBP projection of MRI brain images for the diagnosis of Alzheimer’s disease | FJ Martínez-Murcia, A Ortiz, JM Górriz, J Ramírez, IA Illán. | 2015 |
| Projecting MRI brain images for the detection of Alzheimer’s Disease | J RAMIREZ, IA ILLAN, D SALAS-GONZALEZ. | 2015 |
| Affine registration of [123I] FP-CIT SPECT brain images | D Salas-Gonzalez, JM Górriz, J Ramírez, IA Illán, P Padilla, .... | 2015 |
| Statistical Significance in the Selection of the Regions of Interest for Parkinson Brain Image Processing | P Padilla, J Ramírez, JM Górriz, D Salas-González, I Alvarez-Illán. | 2015 |
| Early diagnosis of Alzheimer׳ s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images | L Khedher, J Ramírez, JM Górriz, A Brahim, F Segovia, .... | 2015 |
| Comparison between different intensity normalization methods in 123I-Ioflupane imaging for the automatic detection of Parkinsonism | A Brahim, J Ramirez, JM Górriz, L Khedher, D Salas-Gonzalez. | 2015 |
| Intensity normalization of DaTSCAN SPECT imaging using a model-based clustering approach | A Brahim, JM Górriz, J Ramírez, L Khedher. | 2015 |
| Automatic classification of segmented MRI data combining independent component analysis and support vector machines | L Khedher, J Ramírez, JM Górriz, A Brahim. | 2015 |
| Application of fuzzy logic for Alzheimer's disease diagnosis | I Krashenyi, A Popov, J Ramirez, JM Gorriz. | 2015 |
| A. s Disease Neuroimaging Initiative et al.,“Early diagnosis of alzheimer? s disease based on partial least squares, principal component analysis and support vector machine … | L Khedher, J Ramırez, JM Górriz, A Brahim, F Segovia. | 2015 |
| Linear intensity normalization of DaTSCAN images using Mean Square Error and a model-based clustering approach | A Brahim, JM Górriz, J Ramírez, L Khedher. | 2015 |
| Intensity Normalization of 123 I-ioflupane-SPECT Brain Images Using a Model-Based Multivariate Linear Regression Approach | A Brahim, JM Górriz, J Ramírez, L Khedher. | 2015 |
| Fuzzy classification of Alzheimer's disease using statistical moments | I Krashenyi, A Popov, J Ramirez, JM Gorriz. | 2015 |
| Short-term MCI-to-AD prediction using MRI, neuropsychological scores and ensemble tree learning techniques | J Rodríguez, J Ramírez, JM Górriz, P Padilla, A Ortiz. | 2015 |
| Correction: Comparison between Different Intensity Normalization Methods in 123I-Ioflupane Imaging for the Automatic Detection of Parkinsonism | A Brahim, J Ramírez, JM Górriz, L Khedher, D Salas-Gonzalez. | 2015 |
| Analysis of 18F-DMFP PET data using multikernel classification in order to assist the diagnosis of Parkinsonism | F Segovia, JM Górriz, J Ramírez, J Levin, M Schuberth, M Brendel, .... | 2015 |
| A comparison among several methods for building templates in functional brain imaging | R Molina-Masegosa, JM Górriz, J Ramírez, D Salas-González. | 2015 |
| Correction: Comparison between Different Intensity Normalization Methods in. sup. 123I-Ioflupane Imaging for the Automatic Detection of Parkinsonism | A Brahim, J Ramirez, JM Gorriz, L Khedher, D Salas-Gonzalez. | 2015 |
| Automated Diagnosis of Alzheimer’s Disease by Integrating Genetic Biomarkers and Tissue Density Information | A Ortiz, M Moreno-Estévez, JM Górriz, J Ramírez, MJ García-Tarifa, .... | 2015 |
| Study of the Histogram of the Hippocampus in MRI Using the α-stable Distribution | D Salas-Gonzalez, O Horeth, EW Lang, JM Górriz, J Ramírez. | 2015 |
| Gated Sensor Fusion: A way to Improve the Precision of Ambulatory Human Body Motion Estimation | A Olivares, JM Górriz, J Ramírez, G Olivares. | 2015 |
| A Posterization Strategy for the Registration of [123I] FP-CIT SPECT Brain Images. | D Salas-Gonzalez, EW Lang, JM Górriz, J Ramírez. | 2015 |
| Comparison between Different Intensity Normalization Methods in 123I-Ioflupane Imaging for the Automatic Detection of Parkinsonism. | A Brahim, J Ramírez, JM Gorriz, L Khedher, D Salas-Gonzalez. | 2015 |
| A. s Disease Neuroimaging Initiative et al.,“Early diagnosis of alzheimer’s disease based on partial least squares, principal component analysis and support vector machine … | L Khedher, J Ramırez, JM Górriz, A Brahim, F Segovia. | 2015 |
| Correction: Comparison between Different Intensity Normalization Methods in 123 I-Ioflupane Imaging for the Automatic Detection of Parkinsonism | A Brahim, J Ramírez, JM Górriz, L Khedher, D Salas-Gonzalez. | 2015 |
| Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging | FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, A Ortiz, .... | 2014 |
| Spatial component analysis of MRI data for alzheimer's disease diagnosis: a bayesian network approach | IA Illan, JM Górriz, J Ramírez, A Meyer-Base. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease. | FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, D Salas-González, .... | 2014 |
| PETRA: Multivariate analyses for neuroimaging data | F Segovia-Román, I Álvarez Illán, D Salas-Gonzalez, FJ Martínez-Murcia, .... | 2014 |
| Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering | A Ortiz, JM Gorriz, J Ramirez, D Salas-Gonzalez. | 2014 |
| Parametrization of textural patterns in 123I‐ioflupane imaging for the automatic detection of Parkinsonism | FJ Martinez‐Murcia, JM Górriz, J Ramírez, M Moreno‐Caballero, .... | 2014 |
| Combining PET images and neuropsychological test data for automatic diagnosis of Alzheimer's disease | F Segovia, C Bastin, E Salmon, JM Górriz, J Ramírez, C Phillips. | 2014 |
| Identifying endophenotypes of autism: a multivariate approach | F Segovia, R Holt, M Spencer, JM Górriz, J Ramírez, CG Puntonet, .... | 2014 |
| Automatic ROI selection in structural brain MRI using SOM 3D projection | A Ortiz, JM Górriz, J Ramirez, FJ Martinez-Murcia, .... | 2014 |
| Regions of interest computed by SVM wrapped method for Alzheimer’s disease examination from segmented MRI | AR Hidalgo-Muñoz, J Ramírez, JM Górriz, P Padilla. | 2014 |
| RF fingerprint measurements for the identification of devices in wireless communication networks based on feature reduction and subspace transformation | JL Padilla, P Padilla, JF Valenzuela-Valdés, J Ramírez, JM Górriz. | 2014 |
| Real time qrs detection based on m-ary likelihood ratio test on the dft coefficients | JM Górriz, J Ramírez, A Olivares, P Padilla, CG Puntonet, M Cantón, .... | 2014 |
| Bidimensional ensemble empirical mode decomposition of functional biomedical images | A Neubauer, AM Tomé, A Kodewitz, JM Górriz, CG Puntonet, EW Lang. | 2014 |
| The Parkinson’s progression markers initiative.: automatic detection of parkinsonism using significance measures and component analysis in DaTSCAN imaging | FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, A Ortiz. | 2014 |
| Applications of gaussian mixture models and mean squared error within datscan spect imaging | A Brahim, J Ramírez, JM Górriz, L Khedher. | 2014 |
| Why using the alpha-stable distribution in neuroimage? | D Salas-Gonzalez, JM Górriz, J Ramírez, EW Lang. | 2014 |
| Advanced computer vision approaches in biomedical image analysis | A Meyer-Baese, C Plant, JM Gorriz Saez. | 2014 |
| PETRA: Multivariate analyses for neuroimaging data. | F Segovia, IÁ Illán, D Salas-Gonzalez, FJ Martínez-Murcia, C Phillips, .... | 2014 |
| Identifying endophenotypes of autism: a multivariate approach. Front. Comput. Neurosci. 8, 1–8 | F Segovia, R Holt, M Spencer, JM Górriz, J Ramírez, CG Puntonet, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation. | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Application of karhunen-loeve transormation for human MRI analysis | AO Popov, IE Krashenyi, J Ramírez, HM Gorriz. | 2014 |
| A simplified QRS decision stage based on the DFT coefficients | JM Górriz, J Ramírez, A Olivares, IA Ilián, D Salas, CG Puntonet, P Padilla. | 2014 |
| Real Time QRS Detection Based on M-ary Likelihood Ratio Test on the DFT | JM Górriz, J Ramırez, A Olivares, P Padilla, CG Puntonet. | 2014 |
| Використання перетворення Карунена-Лоева для аналізу МРТ-зображень людини | ІЕ Крашений, АО Попов, Х Рамірез, ХМ Горріз. | 2014 |
| Automatic ROI Selection in Structural Brain | A Ortiz, JM Górriz, J Ramırez, FJ Martinez-Murcia, .... | 2014 |
| Statistical Significance in the Selection of the Regions of Interest for Parkinson Brain Image Processing. | P Padilla, J Ramírez, JM Górriz, D Salas-Gonzalez, IÁ Illán. | 2014 |
| The Parkinson’s Progression Markers Initiative,“Automated Detection of Parkinsonism Using Significance Measures and Component Analysis in DatSCAN imaging” | FJ Martinez-Murcia, JM Gorriz, J Ramirez, IA Illan, A Ortiz. | 2014 |
| Parametrization of textural patterns in {sup 123} I-ioflupane imaging for the automatic detection of Parkinsonism | JM Górriz, J Ramírez, M Moreno-Caballero, M Gómez-Río. | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Projecting MRI brain images for the detection of Alzheimer's Disease | FJ Martínez-Murcia, JM Górriz, J Ramírez, I Álvarez Illán, .... | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation | A Ortiz, D Fajardo, JM Górriz, J Ramírez, FJ Martínez-Murcia. | 2014 |
| Computer-aided diagnosis of Alzheimer’s type dementia combining support vector machines and discriminant set of features | J Ramírez, JM Górriz, D Salas-Gonzalez, A Romero, M López, I Álvarez, .... | 2013 |
| Application of empirical mode decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson disease | A Rojas, JM Górriz, J Ramírez, IA Illán, FJ Martínez-Murcia, A Ortiz, .... | 2013 |
| Early diagnosis of Alzheimer’s disease based on partial least squares and support vector machine | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez. | 2013 |
| Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution | D Salas-Gonzalez, JM Górriz, J Ramírez, IA Illán, EW Lang. | 2013 |
| Functional activity maps based on significance measures and independent component analysis | FJ Martínez-Murcia, JM Górriz, J Ramírez, CG Puntonet, IA Illán, .... | 2013 |
| Texture features based detection of Parkinson’s disease on DaTSCAN images | FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, CG Puntonet. | 2013 |
| Improving the convergence rate in affine registration of PET and SPECT brain images using histogram equalization | D Salas-Gonzalez, JM Górriz, J Ramírez, P Padilla, IA Illán. | 2013 |
| Automatic orientation of functional brain images for multiplataform software | IA Illán, JM Górriz, J Ramirez, D Salas-González, FJ Martínez-Murcia, .... | 2013 |
| Early Computer Aided Diagnosis of Parkinson’s Disease Based on Nearest Neighbor Strategy and striatum Activation Threshold | P Padilla, JM Górriz, J Ramírez, D Salas-González, I Álvarez. | 2013 |
| Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies | A Ortiz, JM Górriz, J Ramírez, D Salas-Gonzalez, JM Llamas-Elvira. | 2013 |
| LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer’s disease | A Ortiz, JM Górriz, J Ramírez, FJ Martínez-Murcia, .... | 2013 |
| Segmentation of brain MRI using SOM-FCM-based method and 3D statistical descriptors | A Ortiz, AA Palacio, JM Górriz, J Ramírez, D Salas-González. | 2013 |
| Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization | A Ortiz, JM Gorriz, J Ramírez, D Salas-Gonzalez, .... | 2013 |
| Integrating discretization and association rule-based classification for Alzheimer’s disease diagnosis | R Chaves, J Ramírez, JM Gorriz, .... | 2013 |
| Automatic determination of validity of input data used in ellipsoid fitting MARG calibration algorithms | A Olivares, G Ruiz-Garcia, G Olivares, J Górriz, J Ramirez. | 2013 |
| Parameterization of the distribution of white and grey matter in MRI using the α-stable distribution | D Salas-González, JM Górriz, J Ramírez, M Schloegl, EW Lang, A Ortiz. | 2013 |
| Component-based technique for determining the effects of acupuncture for fighting migraine using SPECT images | MM López, JM Górriz, J Ramírez, M Gómez-Río, J Verdejo, J Vas. | 2013 |
| Automatic roi selection using som modelling in structural brain mri | AO García, JM Górriz, J Ramírez, D Salas-González. | 2013 |
| Signal processing of magnetic and inertial sensor's signals applied to human body motion monitoring | AO Vicente. | 2013 |
| Automatic differentiation between Alzheimer's Disease and mild cognitive impairment combining PET data and psychological scores | F Segovia, C Bastin, E Salmon, JM Górriz, J Ramírez, C Phillips. | 2013 |
| Un nuevo modelo de interconectividad funcional cerebral mediante reglas de asociación aplicado a la detección de alteraciones neurológicas | RM Chaves Rodríguez. | 2013 |
| Erratum to “Unsupervised Neural Techniques Applied to MR Brain Image Segmentation” | A Ortiz, JM Gorriz, J Ramirez, D Salas-Gonzalez. | 2013 |
| Erratum to" unsupervised neural techniques applied to MR brain image segmentation" | A Ortiz, JM Gorriz, J Ramirez, D Salas-Gonzalez. | 2013 |
| Research Article Improving the Convergence Rate in Affine Registration of PET and SPECT Brain Images Using Histogram Equalization | D Salas-Gonzalez, JM Górriz, J Ramírez, P Padilla, IA Illán. | 2013 |
| Segmentation of brain MRI using SOM‐FCM‐based method and 3D statistical descriptors | A Ortiz, AA Palacio, JM Górriz, J Ramírez, D Salas-González. | 2013 |
| Erratum to" Unsupervised Neural Techniques Applied to MR Brain Image Segmentation". | A Ortiz, JMG Sáez, J Ramírez, D Salas-Gonzalez. | 2013 |
| Automatic assistance to Parkinsonˈs disease diagnosis in DaTSCAN SPECT imaging | IA Illán, JM Górriz, J Ramírez, F Segovia, JM Jiménez‐Hoyuela, .... | 2012 |
| A comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| Improved Parkinsonism diagnosis using a partial least squares based approach | F Segovia, JM Górriz, J Ramírez, I Alvarez, JM Jiménez‐Hoyuela, .... | 2012 |
| Functional brain image classification using association rules defined over discriminant regions | R Chaves, J Ramírez, JM Górriz, IA Illán, .... | 2012 |
| On the empirical mode decomposition applied to the analysis of brain SPECT images | A Gallix, JM Górriz, J Ramírez, IA Illan, EW Lang. | 2012 |
| Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging | IA Illán, JM Górriz, J Ramírez, EW Lang, D Salas-Gonzalez, CG Puntonet. | 2012 |
| FDG and PIB biomarker PET analysis for the Alzheimer's disease detection using Association Rules | R Chaves, J Ramirez, JM Górriz, IA Illán, D Salas-Gonzalez. | 2012 |
| Automatic differentiation between controls and Parkinson's disease DaTSCAN images using a Partial Least Squares scheme and the Fisher Discriminant Ratio. | F Segovia, JM Górriz, J Ramírez, R Chaves, IÁ Illán. | 2012 |
| Effective diagnosis of Alzheimer’s disease by means of large margin-based methodology | R Chaves, J Ramírez, JM Górriz, IA Illán, M Gómez-Río, C Carnero. | 2012 |
| Intensity normalization of FP-cit spect in patients with parkinsonism using the α-stable distribution | D Salas-Gonzalez, JM Górriz, J Ramirez, FJ Martínez, R Chaves, .... | 2012 |
| Empirical Mode Decomposition as a feature extraction method for Alzheimer's Disease Diagnosis | A Rojas, JM Górriz, J Ramírez, A Gallix, IA Illán. | 2012 |
| I-123-Ioflupane brain SPECT imaging analysis for computer aided parkinsonian syndromes diagnosis | M Moreno Caballero, I Alvarez Illan, A Romero Villarubia, .... | 2012 |
| SPECT Computer-Aided Diagnosis System based on the Empirical Mode Decomposition. | A Gallix, JM Górriz, J Ramírez, IÁ Illán, EW Lang. | 2012 |
| Brain connectivity analysis: a short survey | EW Lang, AM Tomé, IR Keck, JM Górriz-Sáez, CG Puntonet. | 2012 |
| Computer aided diagnosis tool for Alzheimer’s disease based on Mann–Whitney–Wilcoxon U-test | FJ Martínez-Murcia, JM Górriz, J Ramirez, CG Puntonet, .... | 2012 |
| Association rule-based feature selection method for Alzheimer’s disease diagnosis | R Chaves, J Ramírez, JM Górriz, CG Puntonet, .... | 2012 |
| Detection of (in) activity periods in human body motion using inertial sensors: a comparative study | A Olivares, J Ramírez, JM Górriz, G Olivares, M Damas. | 2012 |
| Unsupervised neural techniques applied to MR brain image segmentation | A Ortiz, JM Gorriz, J Ramirez, D Salas-Gonzalez. | 2012 |
| Using CSF biomarkers to replicate genetic associations in Alzheimer's disease | JM Schott, ADNI Investigators. | 2012 |
| The Alzheimer’s DiseaseNeuroimagingInitiative. A comparative study of feature extraction methods for the diagnosis of Alzheimer’s disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| Análisis de imágenes funcionales cerebrales mediante modelos de mezcla de gaussianas y mínimos cuadrados parciales para el diagnóstico de alteraciones neurológicas | F Segovia Román. | 2012 |
| D. Salas-Gonzalez or the Alzheimer’s Disease Neuroimaging Initiative,“Computer Aided Diagnosis tool for Alzheimer’s Disease based on Mann–Whitney–Wilcoxon U-Test” | FJ Martinez-Murcia, JM Gorriz, J Ramirez, CG Puntonet. | 2012 |
| Brain connectivity analysis: A short survey. Intell | EW Lang, AM Tomé, IR Keck, JMG Sáez, CG Puntonet. | 2012 |
| A DSP embedded system. Application to digital communication systems | F Segovia, R Serrano, JM Górriz, J Ramírez, J González. | 2012 |
| A Decision Support System for the assisted diagnosis of brain tumors: A feasibility study for18F-FDG PET preclinical studies | E Grosso, M López, C Salvatore, F Gallivanone, G Di Grigoli, S Valtorta, .... | 2012 |
| Effective voxel selection method over FDG-PET database based on Association Rules. | R Chaves, J Ramírez, JM Górriz, F Segovia. | 2012 |
| Nuevos algoritmos híbridos de segmentación de imágenes de resonancia magnética | AO García. | 2012 |
| Advances in unsupervised learning techniques applied to biosciences and medicine | A Meyer-Baese, S Lespinats, JMG Saez, O Bastien. | 2012 |
| Aprendizaje estadístico basado en confianza controlada y transformaciones/factorizaciones no negativas para el diagnóstico de demencias | PP de la Torre. | 2012 |
| Un sistema empotrado para DSP. Aplicacion a sistemas de comunicaciones digitales | F Segovia, R Serrano, JM Górriz, J Ramırez, CG Puntonet, J González. | 2012 |
| Optimized segmentation of Brain MRI using GHSOM and evolutive computing. | A Ortiz, JM Górriz, J Ramirez, D Salas-Gonzalez. | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| Brain connectivity analysis: A short survey. | EW Lang, AM Tomé, IR Keck, JM Górriz-Sáez, CG Puntonet. | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| Optimized segmentation of Brain MRI using GHSOM and evolutive computing | A Ortiz, JM Gorriz, J Ramirez, D Salas-Gonzalez. | 2012 |
| Automatic differentiation between controls and parkinson’s disease datscan images using a partial least squares scheme and the fisher discriminant ratio | F Segovia, JM Górriz, J Ramírez, R Chaves, I Álvarez. | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| A Decision Support System for the assisted diagnosis of brain tumors: A feasibility study for 18F-FDG PET preclinical studies | E Grosso, M López, C Salvatore, F Gallivanone, G Di Grigoli, S Valtorta, .... | 2012 |
| Effective voxel selection method over FDG-PET database based on Association Rules | R Chaves, J Ramírez, JM Górriz, F Segovia. | 2012 |
| SPECT Computer-Aided Diagnosis System based on the Empirical Mode Decomposition | A Gallix, JM Górriz, J Ramírez, IA Illán, EW Lang. | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| The Alzheimer's Disease Neuroimaging Initiative1, a comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database | F Segovia, JM Górriz, J Ramírez, D Salas-Gonzalez, I Álvarez, M López, .... | 2012 |
| contains and reduces pathogen levels under operational and simulated breakdown conditions. Unpublished. Gwyther, CL, Jones, DL, Golyshin, PN, Edwards-Jones, G., Williams, AP … | JB Lobera, M González, J Sáez, A Montes, P Clemente, A Quiles, .... | 2012 |
| Sensors, Medical Images and Signal Processing: Ubiquitous Personalized Health Monitoring | S Mandal, K Basak, KM Mandana, AK Ray, J Chatterjee, M Mahadevappa, .... | 2012 |
| Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine. | A Meyer-Baese, S Lespinats, JMG Saez, O Bastien. | 2012 |
| 18F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis | IA Illán, JM Górriz, J Ramírez, D Salas-Gonzalez, MM López, F Segovia, .... | 2011 |
| Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2011 |
| NMF-SVM based CAD tool applied to functional brain images for the diagnosis of Alzheimer's disease | P Padilla, M López, JM Górriz, J Ramirez, D Salas-Gonzalez, I Alvarez. | 2011 |
| Computer aided diagnosis of Alzheimer’s disease using component based SVM | IA Illán, JM Górriz, MM López, J Ramírez, D Salas-Gonzalez, F Segovia, .... | 2011 |
| Efficient mining of association rules for the early diagnosis of Alzheimer's disease | R Chaves, JM Górriz, J Ramírez, IA Illán, D Salas-Gonzalez, .... | 2011 |
| Two approaches to selecting set of voxels for the diagnosis of Alzheimerʼs disease using brain SPECT images | D Salas-Gonzalez, JM Górriz, J Ramírez, I Álvarez, M López, F Segovia, .... | 2011 |
| The Alzheimer Disease Neuroimaging initiative, Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer’s disease | M López, J Ramírez, JM Górriz, IA Illan, D Salas-Gonzalez, F Segovia. | 2011 |
| Effective diagnosis of Alzheimer’s disease by means of distance metric learning and random forest | R Chaves, J Ramírez, JM Górriz, I Illán, F Segovia, A Olivares. | 2011 |
| Effective Diagnosis of Alzheimer’s Disease by Means of Distance Metric Learning | R Chaves, J Ramírez, JM Górriz, D Salas-Gonzalez, M López, I Illán, .... | 2011 |
| . Functional Brain Image Preprocessing For Com-puter Aided Diagnosis Systems | R Chaves, D Salas-Gonzalez, J Ramırez, JM Gorriz, M Lopez, I Alvarez, .... | 2011 |
| . A Comparison between Univariate and Multivariate Supervised Learning for Classification of SPECT Images | F Segovia, JM Gorriz, J Ramırez, D Salas-Gonzalez, IA Illan, M Lopez, .... | 2011 |
| GMM based SPECT image classification for the diagnosis of Alzheimer’s disease | JM Górriz, F Segovia, J Ramírez, A Lassl, D Salas-Gonzalez. | 2011 |
| Wagyromag: Wireless sensor network for monitoring and processing human body movement in healthcare applications | A Olivares, G Olivares, F Mula, JM Górriz, J Ramírez. | 2011 |
| MR brain image segmentation by growing hierarchical SOM and probability clustering | A Ortiz, JM Górriz, J Ramirez, D Salas-Gonzalez. | 2011 |
| Analysis of Spect Brain Images Using Wilcoxon and Relative Entropy Criteria and Quadratic Multivariate Classifiers for the Diagnosis of Alzheimer’s Disease | F Martínez, D Salas-González, J Górriz, J Ramírez, C Puntonet, .... | 2011 |
| Brain status data analysis by sliding EMD | A Zeiler, R Faltermeier, A Brawanski, AM Tomé, CG Puntonet, JM Górriz, .... | 2011 |
| Bayesian segmentation of magnetic resonance images using the α-stable distribution | D Salas-Gonzalez, M Schlögl, JM Górriz, J Ramírez, E Lang. | 2011 |
| Recent advances in biomedical signal processing | JM Górriz, EW Lang, J Ramírez. | 2011 |
| MRI brain image segmentation with supervised SOM and probability-based clustering method | A Ortiz, JM Gorriz, J Ramirez, D Salas-Gonzalez. | 2011 |
| SVM with Bounds of Confidence and PLS for Quantifying the Effects of Acupuncture on Migraine Patients | M López, JM Górriz, J Ramírez, D Salas-Gonzalez, R Chaves, .... | 2011 |
| Recent advances in robust speech recognition technology | J Ramírez, JM Górriz. | 2011 |
| Distance metric learning as feature reduction technique for the Alzheimer’s disease diagnosis | R Chaves, J Ramírez, JM Górriz, D Salas-Gonzalez, M López. | 2011 |
| Improved Long Term Voice Activity Detection for Robust Speech Recognition | JM Gorriz, J Ramírez. | 2011 |
| A quantitative study on acupuncture effects for fighting migraine using SPECT images | M López, J Ramírez, JM Górriz, R Chaves, M Gómez-Río. | 2011 |
| . Voice Activity Detection Using Contextual Information for Robust Speech Recognition | J Ramírez, JM Górriz. | 2011 |
| chapter Ch. 7 Functional Image Classification Techniques For Early Alzheimer’s Disease Detection | I Alvarez, M López, JM Górriz, J Ramirez, F Segovia, D Salas, R Chaves. | 2011 |
| Human Body Position Monitoring | A Olivares, JM Gorriz, J Ramirez, G Olivares. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| Functional Brain Image Preprocessing For Com-puter Aided Diagnosis Systems | R Chaves, D Salas-Gonzalez, J Ramırez, JM Gorriz, M Lopez, I Alvarez, .... | 2011 |
| A Comparison between Univariate and Multivariate Supervised Learning for Classification of SPECT Images | F Segovia, JM Gorriz, J Ramırez, D Salas-Gonzalez, IA Illan, M Lopez, .... | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| Voice Activity Detection Using Contextual Information for Robust Speech Recognition | J Ramírez, JM Górriz. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| The alzheimer's disease neuroimaging initiative principal component analysis-based techniques and supervised classification schemes for the early detection of alzheimer's disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia. | 2011 |
| the Alzheimer’s Disease Neuroimaging Initiative, Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer’s disease | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2011 |
| Computer aided diagnosis system for the Alzheimer's disease based on partial least squares and random forest SPECT image classification | J Ramírez, JM Górriz, F Segovia, R Chaves, D Salas-Gonzalez, M López, .... | 2010 |
| Feature selection using factor analysis for Alzheimer's diagnosis using PET images | D Salas‐Gonzalez, JM Górriz, J Ramírez, IA Illán, M López, F Segovia, .... | 2010 |
| Computer-aided diagnosis of Alzheimer's disease using support vector machines and classification trees | D Salas-Gonzalez, JM Górriz, J Ramírez, M López, I Alvarez, F Segovia, .... | 2010 |
| Projecting independent components of SPECT images for computer aided diagnosis of Alzheimer’s disease | IÁ Illán, JM Górriz, J Ramírez, D Salas-Gonzalez, M López, F Segovia, .... | 2010 |
| Classification of functional brain images using a GMM-based multi-variate approach | F Segovia, JM Górriz, J Ramírez, D Salas-González, I Álvarez, M López, .... | 2010 |
| Alzheimer's disease detection in functional images using 2D Gabor wavelet analysis | P Padilla, JM Górriz, J Ramirez, R Chaves, F Segovia, I Alvarez, .... | 2010 |
| Analysis of SPECT brain images for the diagnosis of Alzheimer's disease based on NMF for feature extraction | P Padilla, JM Górriz, J Ramírez, EW Lang, R Chaves, F Segovia, M López, .... | 2010 |
| Selecting regions of interest in SPECT images using Wilcoxon test for the diagnosis of Alzheimer’s disease | D Salas-Gonzalez, JM Górriz, J Ramírez, F Segovia, R Chaves, M López, .... | 2010 |
| Effective diagnosis of Alzheimer’s disease by means of association rules | R Chaves, J Ramírez, JM Górriz, M López, D Salas-Gonzalez, I Illán, .... | 2010 |
| Early Alzheimer's disease diagnosis using partial least squares and random forests | J Ramírez, JM Górriz, F Segovia, R Chaves, D Salas-Gonzalez, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Partial least squares for feature extraction of SPECT images | F Segovia, J Ramírez, JM Górriz, R Chaves, D Salas-Gonzalez, M López, .... | 2010 |
| Improving the convergence rate in affine registration of pet brain images using histogram matching | D Salas-Gonzalez, J Estrada, JM Gorriz, J Ramirez, F Segovia, R Chaves, .... | 2010 |
| NMF-Based Analysis of SPECT Brain Images for the Diagnosis of Alzheimer’s Disease | P Padilla, JM Górriz, J Ramírez, E Lang, R Chaves, F Segovia, I Álvarez, .... | 2010 |
| Exploring Symmetry to Assist Alzheimer’s Disease Diagnosis | IA Illán, JM Górriz, J Ramírez, D Salas-Gonzalez, M López, P Padilla, .... | 2010 |
| Alzheimer's diseases detection in functional images using 2D Gabor wavelet analysis (vol 46, pg 556, 2010) | P Padilla, JM Gorriz, J Ramirez, R Chaves, F Segovia, I Alvarez, .... | 2010 |
| Accurate human limb angle measurement: sensor fusion through Kalman, least mean squares and recursive least-squares adaptive filtering | A Olivares, JM Górriz, J Ramírez, G Olivares. | 2010 |
| Improved likelihood ratio test based voice activity detector applied to speech recognition | JM Górriz, J Ramírez, EW Lang, CG Puntonet, I Turias. | 2010 |
| A study of vibration-based energy harvesting in activities of daily living | A Olivares, G Olivares, P Gloesekoetter, JM Gorriz, J Ramirez. | 2010 |
| Exploratory matrix factorization techniques for large scale biomedical data sets | EW Lang, R Schachtner, D Lutter, D Herold, A Kodewitz, F Blöchl, .... | 2010 |
| Statistical model based techniques for robust speech communication | NS Kim, JH Chang, J Ramirez, JM Gorriz, CS Jose. | 2010 |
| Exploratory matrix factorization for PET image analysis | A Kodewitz, IR Keck, AM Tomé, JM Górriz, EW Lang. | 2010 |
| Elitist genetic algorithm guided by higher order statistic for blind separation of digital signals | EA Gonzalez, JM Górriz, J Ramirez, CG Puntonet. | 2010 |
| Nuevos modelos estadısticos para detección de patrones de hipo/perfusión-metabolismo en imágenes de tomografıa funcional cerebral | ML Pérez. | 2010 |
| Sensor fusion adaptive filtering for position monitoring in intense activities | A Olivares, JM Górriz, J Ramírez, G Olivares. | 2010 |
| Analysis of SPECT brain images for the diagnosis of Alzheimers disease using factor analysis and quadratic discriminant functions | FJ Martínez, D Salas-Gonzalez, JM Górriz, J Ramírez, CG Puntonet, .... | 2010 |
| Subjective and objective (SVM) analysis of Brain perfusion SPECT in migraine patients treated with acupuncture. Preliminary results of a pragmatic randomised controlled trial | C Ramos Font, J Vas, AC Rebollo-Aguirre, M Gomez-Rio, D Caballero, .... | 2010 |
| Nuevos modelos estadísticos para detección de patrones de hipo/perfusión-metabolismo en imágenes de tomografía funcional cerebral | M López Pérez. | 2010 |
| Accurate Human Limb Angle Measurement in Telerehabilitation: Sensor Fusion through Kalman, LMS and RLS Adaptive Filtering | A Olivares, JM Górriz, J Ramírez, G Olivares. | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Sensor Fusion Adaptive Filtering for Position Monitoring in Intense Activities. | A Olivares, JM Górriz, J Ramírez, G Olivares. | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Machine learning for very early Alzheimer's Disease diagnosis; a 18F-FDG and PiB PET comparison | IA Illan, JM Gorriz, J Ramirez, R Chaves, F Segovia, M López, .... | 2010 |
| Wagyromag: red inalámbrica de sensores inerciales para el registro y procesamiento de movimientos corporales | AO Vicente, GO Ruiz, FG Mula, JM Górriz, J Ramírez. | 2010 |
| Decomposition methods in neuroscience | M De Vos, L De Lathauwer, S Van Huffel, JM Gorriz, EW Lang, J Ramirez. | 2010 |
| SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting | R Chaves, J Ramírez, JM Górriz, M López, D Salas-Gonzalez, I Alvarez, .... | 2009 |
| SVM-based CAD system for early detection of the Alzheimer's disease using kernel PCA and LDA | MM López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Alzheimer's diagnosis using eigenbrains and support vector machines | I Álvarez, JM Górriz, J Ramírez, D Salas-Gonzalez, M López, CG Puntonet, .... | 2009 |
| Automatic tool for Alzheimer's disease diagnosis using PCA and Bayesian classification rules | M López, J Ramírez, JM Górriz, D Salas-Gonzalez, I Alvarez, F Segovia, .... | 2009 |
| Analysis of SPECT brain images for the diagnosis of Alzheimer's disease using moments and support vector machines | D Salas-Gonzalez, JM Górriz, J Ramírez, M López, IA Illan, F Segovia, .... | 2009 |
| SPECT image classification using random forests | J Ramírez, JM Górriz, R Chaves, M López, D Salas-Gonzalez, I Alvarez, .... | 2009 |
| Computer aided diagnosis of the Alzheimer's disease combining spect-based feature selection and random forest classifiers | J Ramirez, R Chaves, JM Gorriz, M Lopez, IÁ Lvarez, D Salas-Gonzalez, .... | 2009 |
| Automatic system for alzheimer’s disease diagnosis using eigenbrains and bayesian classification rules | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Multivariate approaches for Alzheimer's disease diagnosis using Bayesian classifiers | M Lopez, J Ramirez, JM Gorriz, D Salas-Gonzalez, I Alvarez, F Segovia, .... | 2009 |
| Support vector machines and neural networks for the alzheimer’s disease diagnosis using pca | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Análisis en Componentes de Imágenes Funcionales para la Ayuda al Diagnóstico de la Enfermedad de Alzheimer | IA Illán. | 2009 |
| Functional brain image classification techniques for early Alzheimer disease diagnosis | J Ramírez, R Chaves, JM Górriz, I Álvarez, M López, D Salas-Gonzalez, .... | 2009 |
| Effective detection of the alzheimer disease by means of coronal NMSE SVM feature classification | J Ramírez, R Chaves, JM Górriz, I Álvarez, D Salas-Gonzalez, M López, .... | 2009 |
| SPECT image classification based on NMSE feature correlation weighting and SVM | R Chaves, J Ramirez, JM Gorriz, M Lopez, I Alvarez, D Salas-Gonzalez, .... | 2009 |
| Classification of spect images using clustering techniques revisited | JM Górriz, J Ramírez, A Lassl, I Álvarez, F Segovia, D Salas, M López. | 2009 |
| Spect image classification techniques for computer aided diagnosis of the alzheimer disease | J Ramírez, R Chaves, JM Górriz, M López, D Salas-Gonzalez, I Álvarez, .... | 2009 |
| Neurological image classification for the Alzheimer's Disease diagnosis using Kernel PCA and Support Vector Machines | M Lopez, J Ramirez, JM Gorriz, D Salas-Gonzalez, IÁ Lvarez, F Segovia, .... | 2009 |
| Skewness as feature for the diagnosis of Alzheimer's disease using SPECT images | D Salas-Gonzalez, JM Górriz, J Ramírez, I Álvarez, M López, F Segovia, .... | 2009 |
| Automatic selection of ROIs using a model-based clustering approach | F Segovia, JM Górriz, J Ramírez, D Salas-González, IA Illán, M López, .... | 2009 |
| Independent Component Analysis of SPECT Images to Assist the Alzheimer’s Disease Diagnosis | I Álvarez, JM Górriz, J Ramírez, D Salas-Gonzalez, M López, CG Puntonet, .... | 2009 |
| Computer aided diagnosis of alzheimer’s disease using principal component analysis and bayesian classifiers | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Selecting Regions of Interest for the Diagnosis of Alzheimer’s Disease in Brain SPECT Images Using Welch’s t-Test | D Salas-Gonzalez, JM Górriz, J Ramírez, M López, I Álvarez, F Segovia, .... | 2009 |
| fMRI data analysis using a novel clustering technique | F Segovia, JM Górriz, J Ramírez, D Salas-González, IA Illán, M López, .... | 2009 |
| Analysis of Brain SPECT Images for the Diagnosis of Alzheimer Disease Using First and Second Order Moments | D Salas-Gonzalez, JM Górriz, J Ramírez, M López, I Álvarez, F Segovia, .... | 2009 |
| Selecting Regions of Interest for the Diagnosis of Alzheimer Using Brain SPECT Images | D Salas-Gonzalez, JM Górriz, J Ramírez, I Álvarez, M López, F Segovia, .... | 2009 |
| Automatic selection of ROIs in functional imaging using Gaussian mixture models | JM Górriz, A Lassl, J Ramírez, D Salas-Gonzalez, CG Puntonet, EW Lang. | 2009 |
| High-efficiency low-cost accelerometer-aided gyroscope calibration | A Olivares, G Olivares, JM Gorriz, J Ramirez. | 2009 |
| Análisis en Componentes de Imágenes Funcionales para la Ayuda al Diagnóstico de la Enfermedad del Alzheimer | I Álvarez Illán. | 2009 |
| Multiple Toll Using Passive Technology | JM Górriz, J Ramírez, S Cruces-Alvarez, CG Puntonet, EW Lang, .... | 2009 |
| June 2009. Functional brain image classification techniques for early Alzheimer disease diagnosis | J Ramırez, R Chávez, J Górriz, I Alvarez, M López, D Salas-Gonzalez, .... | 2009 |
| June 2009b. Analysis of brain SPECT images for the diagnosis of Alzheimer using first and second order moments | D Salas-Gonzalez, JM Górriz, J Ramırez, M López, I Alvarez, F Segovia, .... | 2009 |
| June 2009c. Selecting regions of interest for the diagnosis of Alzheimer’s disease in brain SPECT images using Weltch’s t-test | D Salas-Gonzalez, JM Gorriz, J Ramırez, M López, I Alvarez, F Segovia, .... | 2009 |
| Nuevos algoritmos de detección de señales basados en un modelo de distribución gaussiana conjunta | ÓP Fernández. | 2009 |
| Nuevos algoritmos de registro y clasificación de imágenes cerebrales pet y spect para el diagnóstico del alzheimer | DS González. | 2009 |
| Alzheimer’s diagnosis using eigenbrains and support vector machines | I Alvarez, JM Górriz, J Ramírez, D Salas-Gonzalez, M López, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers. | M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, .... | 2009 |
| Adaptive Systems and Adaptive Filtering-A Novel LMS Algorithm Applied to Adaptive Noise Cancellation | JM Gorriz, J Ramirez, S Cruces-Alvarez, CG Puntonet, EW Lang, .... | 2009 |
| Automatic computer aided diagnosis tool using component-based SVM | JM Górriz, J Ramírez, A Lassl, D Salas-Gonzalez, EW Lang, CG Puntonet, .... | 2008 |
| Early detection of the alzheimer disease combining feature selection and kernel machines | J Ramírez, JM Górriz, M López, D Salas-Gonzalez, I Álvarez, F Segovia, .... | 2008 |
| Automatic classification system for the diagnosis of alzheimer disease using Component-Based SVM aggregations | I Álvarez, M López, JM Górriz, J Ramírez, D Salas-Gonzalez, CG Puntonet, .... | 2008 |
| Computer aided diagnosis of alzheimer disease using support vector machines and classification trees | D Salas-Gonzalez, JM Górriz, J Ramírez, M López, I Álvarez, F Segovia, .... | 2008 |
| A novel LMS algorithm applied to adaptive noise cancellation | JM Górriz, J Ramírez, S Cruces-Alvarez, CG Puntonet, EW Lang, .... | 2008 |
| Improved Gauss-Newton optimisation methods in affine registration of SPECT brain images | D Salas-Gonzalez, JM Górriz, J Ramírez, A Lassl, CG Puntonet. | 2008 |
| Effective emission tomography image reconstruction algorithms for SPECT data | J Ramírez, JM Górriz, M Gómez-Río, A Romero, R Chaves, A Lassl, .... | 2008 |
| Prediction of CO maximum ground level concentrations in the Bay of Algeciras, Spain using artificial neural networks | ML Martin, IJ Turias, FJ Gonzalez, PL Galindo, FJ Trujillo, CG Puntonet, .... | 2008 |
| Jointly Gaussian PDF-based likelihood ratio test for voice activity detection | JM Górriz, J Ramírez, EW Lang, CG Puntonet. | 2008 |
| ICA analysis of retina images for glaucoma classification | F Fink, K Worle, P Gruber, AM Tome, JM Gorriz-Saez, CG Puntonet, .... | 2008 |
| Hybridizing sparse component analysis with genetic algorithms for microarray analysis | K Stadlthanner, FJ Theis, EW Lang, AM Tomé, CG Puntonet, JM Górriz. | 2008 |
| Speech enhancement in discontinuous transmission systems using the constrained-stability least-mean-squares algorithm | JM Górriz, J Ramírez, S Cruces-Alvarez, D Erdogmus, CG Puntonet, .... | 2008 |
| Clustering approach for the classificarion of spect images | A Lassl, JM Górriz, J Ramírez, D Salas-Gonzalez, CG Puntonet, EW Lang. | 2008 |
| A comparison of nonlinear least-square optimization methods in affine registration of SPECT images | D Salas-Gonzalez, JM Gorriz, J Ramirez, A Lassl, CG Puntonet, EW Lang, .... | 2008 |
| A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals | JM Górriz, J Ramírez, CG Puntonet, S Cruces-Alvarez, D Erdogmus, .... | 2008 |
| An Efficient VAD Based on a Generalized Gaussian PDF | O Pernıa, JM Gorriz, J Ramırez, CG Puntonet, I Turias. | 2008 |
| Voice activity detection. fundamentals and speech recognition system robustness | J Ramirez, JM Górriz, JC Segura. | 2007 |
| Improved voice activity detection using contextual multiple hypothesis testing for robust speech recognition | J Ramírez, JC Segura, JM Górriz, L García. | 2007 |
| Statistical voice activity detection based on integrated bispectrum likelihood ratio tests for robust speech recognition | J Ramírez, JM Górriz, JC Segura. | 2007 |
| Revised contextual LRT for voice activity detection | J Ramirez, JC Segura, JM Górriz. | 2007 |
| Robust Speech Recognition and Understanding, chapter Voice Activity Detection | J Ramırez, JM Gorriz, JC Segura. | 2007 |
| New Advances in Voice Activity Detection using HOS and Optimization Strategies | JM Górriz, J Ramirez, CG Puntonet. | 2007 |
| Blind matrix decomposition techniques to identify marker genes from microarrays | R Schachtner, D Lutter, FJ Theis, EW Lang, AM Tomé, JMG Saez, .... | 2007 |
| Effective jointly pdf-based voice activity detector for real-time applications | JM Górriz, J Ramirez, CG Puntonet. | 2007 |
| An efficient VAD based on a Generalized Gaussian PDF | O Pernía, JM Górriz, J Ramírez, CG Puntonet, I Turias. | 2007 |
| Higher-order spectral characterization of termite emissions using acoustic emission probes | JJG de la Rosa, I Lloret, A Moreno, CG Puntonet, JM Gorriz. | 2007 |
| Robust Speech Recognition and Understanding, ch | J Ramırez, M Gorrız, JC Segura. | 2007 |
| Modeling and Simulation of a Container Gantry Crane Cabin's Operation with Simulink | JJG De la Rosa, JAC Torres, A Illana, CG Puntonet, JM Górriz. | 2007 |
| Power Transients Characterization and Classification Using Higher-Order Cumulants and Competitive Layers | JJG de-la-Rosa, AM Munoz, I Lloret, CG Puntonet, JM Górriz. | 2007 |
| Higher-order Statistics Interpretation. Application to Power-Quality Characterization. | JJG de la Rosa, Á Luque, CG Puntonet, JM Górriz, A Moreno-Muñoz. | 2007 |
| Adaptive and natural computing algorithms: 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, proceedings | B Beliczynski, A Dzielinski, M Iwanowski, B Ribeiro. | 2007 |
| An efficient VAD based on a hang-over scheme and a likelihood ratio test | O Pernía, JM Górriz, J Ramírez, CG Puntonet, I Turias. | 2007 |
| Improved Likelihood Ratio Test Detector Using a Jointly Gaussian Probability Distribution Function | O Pernía, JM Górriz, J Ramírez, CG Puntonet, I Turias. | 2007 |
| Classification and Clustering-Power Transients Characterization and Classification Using Higher-Order Cumulants and Competitive Layers | JJG de-la-Rosa, AM Munoz, I Lloret, CG Puntonet, JM Gorriz. | 2007 |
| Noisy image processing using the independent component analysis algorithm AMUSE. | S Nassabay, IR Keck, CG Puntonet, JM Górriz, JP de Inestroaa, .... | 2007 |
| Adaptive and Natural Computing Algorithms: 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I | B Beliczynski, A Dzielinski, M Iwanowski, B Ribeiro. | 2007 |
| Final report about the results on monogastric animal corpse hydrolyzation: Experience based on pigs production | JB Lobera, M González, J Sáez, A Montes, P Clemente, A Quiles, .... | 2007 |
| Higher-order statistics interpretation. Application to power-quality characterization | JJG de la Rosa, A Luque, CG Puntonet, JM Górriz, AM Munoz. | 2007 |
| Higher-order statistics interpretation. Application to power-quality characterization | JJG de la Rosa, A Luque, CG Puntonet, JM Górriz, AM Munoz. | 2007 |
| Noisy Image Processing Using the Independent Component Analysis Algorithm AMUSE | S Nassabay, IR Keck, CG Puntonet, JM Górriz, JP de Inestroaa, .... | 2007 |
| Noisy Image Processing Using the Independent Component Analysis Algorithm AMUSE | S Nassabay, IR Keck, CG Puntonet, JM Górriz, JP de Inestroaa, .... | 2007 |
| SVM-based speech endpoint detection using contextual speech features | J Ramírez, P Yélamos, JM Górriz, JC Segura. | 2006 |
| Hard C-means clustering for voice activity detection | JM Górriz, J Ramírez, EW Lang, CG Puntonet. | 2006 |
| Speech/non-speech discrimination based on contextual information integrated bispectrum LRT | J Ramírez, JM Górriz, JC Segura, CG Puntonet, AJ Rubio. | 2006 |
| Denoising using local projective subspace methods | P Gruber, K Stadlthanner, M Böhm, FJ Theis, EW Lang, AM Tomé, .... | 2006 |
| An effective cluster-based model for robust speech detection and speech recognition in noisy environments | JM Górriz, J Ramírez, JC Segura, CG Puntonet. | 2006 |
| Speech/non-speech discrimination combining advanced feature extraction and SVM learning | J Ramírez, P Yélamos, JM Górriz, JC Segura, L García. | 2006 |
| Wavelets and wavelet packets applied to detect and characterize transient alarm signals from termites | JJG de la Rosa, I Lloret, A Moreno, CG Puntonet, JM Górriz. | 2006 |
| Generalized LRT-based voice activity detector | JM Górriz, J Ramírez, CG Puntonet, JC Segura. | 2006 |
| Optimizing blind source separation with guided genetic algorithms | JM Górriz, CG Puntonet, F Rojas, R Martin, S Hornillo, EW Lang. | 2006 |
| SVM-enabled voice activity detection | J Ramírez, P Yélamos, JM Górriz, CG Puntonet, JC Segura. | 2006 |
| Speech event detection using support vector machines | P Yélamos, J Ramírez, JM Górriz, CG Puntonet, JC Segura. | 2006 |
| Fuzzy logic speech/non-speech discrimination for noise robust speech processing | R Culebras, J Ramírez, JM Górriz, JC Segura. | 2006 |
| Effective speech/pause discrimination using an integrated bispectrum likelihood ratio test | JM Górriz, J Ramirez, JC Segura, CG Puntonet, L García. | 2006 |
| Maximization of statistical moments for blind separation of sources revisited | S Hornillo-Mellado, R Martín-Clemente, CG Puntonet, JI Acha, .... | 2006 |
| An efficient bispectrum phase entropy-based algorithm for VAD | JM Górriz, J Ramírez, CG Puntonet, JC Segura. | 2006 |
| Independent component analysis applied to voice activity detection | JM Górriz, J Ramírez, CG Puntonet, EW Lang, K Stadlthanner. | 2006 |
| Higher-order spectra and independent component analysis used for identification and SNR enhancement of acoustic emission signals | JG De la Rosa, I Lloret, A Moreno, R Piotrkowski, J Ruzzante, .... | 2006 |
| Noise subspace fuzzy c-means clustering for robust speech recognition | JM Górriz, J Ramírez, JC Segura, CG Puntonet, JJ González. | 2006 |
| Comparison of two ICA algorithms in BSS applied to non-destructive vibratory tests | JJG de-la-Rosa, CG Puntonet, R Piotrkowski, A Moreno, JM Górriz. | 2006 |
| C-means clustering applied to speech discrimination | JM Górriz, J Ramírez, I Turias, CG Puntonet, J González, EW Lang. | 2006 |
| GAIALAB: A Weblab Project for Digital Communications Distributed Learning | J Ramirez, JC Segura, JM Górriz, C Benitez, A Rubio. | 2006 |
| Effective speech/pause discrimination combining noise suppression and fuzzy logic rules | R Culebras, J Ramirez, JM Górriz. | 2006 |
| On the performance of a hos-based ica algorithm in bss of acoustic emission signals | CG Puntonet, JJG de-la-Rosa, I Lloret, JM Górriz. | 2006 |
| Nuevos Avances En Detección De Actividad De Voz Mediante Hos Y Estrategias De Optimización | JM Górriz, J Ramírez, CG Puntonet, JC Segura. | 2006 |
| Two ICA algorithms applied to BSS in non-destructive vibratory tests | JJG de-la-Rosa, CG Puntonet, R Piotrkowski, I Lloret, JM Górriz. | 2006 |
| Wide-band transducers and higher-order spectral characterization of low-level ultrasounds in wood | JJG De la Rosa, I Lloret, CG Puntonet, JM Górriz. | 2006 |
| Third-Order spectral characterization of termite’s emission track | JJG de-la-Rosa, I Lloret, CG Puntonet, A Moreno, JM Górriz. | 2006 |
| Higher-order spectral characterization of low-level emissions in wood using ultrasonic-piezoelectric transducers | JJG De La Rosa, I Lloret, CG Puntonet, JM Górriz. | 2006 |
| Frequency Calibrations with Conventional Time Interval Counters via GPS Traceability. | JJG de la Rosa, IL Galiana, CG Puntonet, JMG Sáez, A Moreno-Muñoz, .... | 2006 |
| A Genetic Algorithm for Solving BSS-ICA | JM Górriz, CG Puntonet. | 2006 |
| Hybrid Computational Methods and New Algorithmic Approaches to Computational Kernels and Applications-C-Means Clustering Applied to Speech Discrimination | JM Gorriz, J Ramirez, I Turias, CG Puntonet, J Gonzalez, EW Lang. | 2006 |
| Real-World Applications of Evolutionary Computation Techniques-Comparison of Two ICA Algorithms in BSS Applied to Non-destructive Vibratory Tests | JJG de-la-Rosa, CG Puntonet, R Piotrkowski, A Moreno, JM Gorriz. | 2006 |
| FREQUENCY CALIBRATIONS WITH CONVENTIONAL TIME INTERVAL COUNTERS VIA GPS TRACEABILITY | JJG de la Rosa, I Lloret, CG Puntonet, JM Górriz, A Moreno, M Linán, .... | 2006 |
| FREQUENCY CALIBRATIONS WITH CONVENTIONAL TIME INTERVAL COUNTERS VIA GPS TRACEABILITY | JJG de la Rosa, I Lloret, CG Puntonet, JM Górriz, A Moreno, M Linán, .... | 2006 |
| An efficient bispectrum phase entropy-based algorithm for VAD. | JM Górriz, J Ramírez, CG Puntonet, JC Segura. | 2006 |
| Improved MO-LRT VAD based on bispectra Gaussian model | JM Górriz, J Ramirez, JC Segura, CG Puntonet. | 2005 |
| Wavelets and wavelet packets applied to termite detection | JJG de-la-Rosa, CG Puntonet, IL Galiana, JM Górriz. | 2005 |
| Voice activity detection using higher order statistics | JM Górriz, J Ramírez, JC Segura, S Hornillo. | 2005 |
| Bispectrum estimators for voice activity detection and speech recognition | JM Górriz, CG Puntonet, J Ramírez, JC Segura. | 2005 |
| Bispectra analysis-based vad for robust speech recognition | JM Górriz, CG Puntonet, J Ramírez, JC Segura. | 2005 |
| Hybridizing sparse component analysis with genetic algorithms for blind source separation | K Stadlthanner, FJ Theis, CG Puntonet, JM Górriz, AM Tomé, EW Lang. | 2005 |
| Connections between ICA and sparse coding revisited | S Hornillo-Mellado, R Martín-Clemente, JM Górriz-Sáez. | 2005 |
| Simulated annealing based-ga using injective contrast functions for bss | JM Górriz, CG Puntonet, JD Morales. | 2005 |
| Assessing the performance of several fitness functions in a genetic algorithm for nonlinear separation of sources | F Rojas, CG Puntonet, JM Górriz, O Valenzuela. | 2005 |
| Maximum Entropy Guide for BSS | JM Gorriz, CG Puntonet, EG Medialdea, F Rojas. | 2005 |
| Bispectrum-based statistical tests for vad | JM Górriz, J Ramírez, CG Puntonet, F Theis, EW Lang. | 2005 |
| Recognition of insect emissions applying the discrete wavelet transform | CG Puntonet, JJG de-la-Rosa, IL Galiana, JM Górriz. | 2005 |
| Matched filter as pre-processing tool for multi-user detection in DS-CDMA system | O Chakkor, CG Puntonet, B Pino, JM Górriz. | 2005 |
| Guided GA-ICA Algorithms | JM Górriz, CG Puntonet, AM Gómez, O Pernía. | 2005 |
| GA-ICA algorithms applied to image processing | JM Górriz, CG Puntonet. | 2005 |
| Wavelets transforms applied to termite detection | J De La Rosa, I Lloret, CG Puntonet, JM Górriz. | 2005 |
| A voice activity detector using periodogram of squares | JM Górriz, T Subba-Rao, CG Puntonet, J Ramırez, JC Segura. | 2005 |
| A Survey of Forecasting Preprocessing Techniques using RNs | JM Górriz, JC Segura-Luna, CG Puntonet, M Salmerón. | 2005 |
| Statistical tests for voice activity detection | JM Górriz, CG Puntonet, J Ramirez, JC Segura. | 2005 |
| TESTING FOR INDEPENDENCE AND LRT FOR VAD | JM Górriz, CG Puntonet, J Ramírez. | 2005 |
| Convergence analysis of a GA-ICA algorithm | JM Górriz, CG Puntonet, F Rojas, EG Medialdea. | 2005 |
| Analysis of variance of three contrast functions in a genetic algorithm for non-linear blind source separation | F Rojas, JM Górriz, O Valenzuela. | 2005 |
| Wavelets Transforms Applied to Termite Detection. | CG Puntonet, JJG de la Rosa, IL Galiana, JMG Sáez. | 2005 |
| Other Applications of Natural Computation-Assessing the Performance of Several Fitness Functions in a Genetic Algorithm for Nonlinear Separation of Sources | F Rojas, CG Puntonet, JM Gorriz, O Valenzuela. | 2005 |
| Applications on Independent Component Analysis and Blind Source Separation-Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source … | F Rojas, JM Gorriz, O Valenzuela. | 2005 |
| Exploración Evolutiva del Equilibrado de Carga Dinámico y Distribuido | M Aldasht, J Ortega, CG Puntonet, AF Díaz. | 2005 |
| Statistical Methods and Tools for Biomedical Data Analysis-Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation | K Stadlthanner, FJ Theis, CG Puntonet, JM Gorriz, AM Tome, EW Lang. | 2005 |
| Procesos de Ruido Interno en los Circuitos Electrónicos | JJG de la Rosa, I Lloret, A Moreno, M Liñán, V Pallarás, JM Górriz, .... | 2005 |
| Procesos de ruido interno en los circuitos electrónicos. Técnicas de computación de la estabilidad de la frecuencia | JJ González de la Rosa, I Lloret Galiana, A Moreno Munoz, .... | 2005 |
| Procesos de ruido interno en los circuitos electrónicos: técnicas de computación de la estabilidad de la frecuencia | JJG de la Rosa. | 2005 |
| An improved mo-lrt vad based on a bispectra gaussian model | JM Górriz, J Ramirez, JC Segura, CG Puntonet. | 2005 |
| Higher-order statistics to detect and characterise termite emissions | JJG De la Rosa, I Lloret, CG Puntonet, JM Górriz. | 2004 |
| A new model for time-series forecasting using radial basis functions and exogenous data | JM Górriz, CG Puntonet, M Salmerón, JJG de la Rosa. | 2004 |
| An application of ICA to identify vibratory low-level signals generated by termites | JJG de la Rosa, CG Puntonet, JM Górriz, I Lloret. | 2004 |
| Hybridizing genetic algorithms with ICA in higher dimension | JM Górriz, CG Puntonet, M Salmerón, FR Ruiz. | 2004 |
| Parallelization of time series forecasting model | JM Górriz, EPS Algeciras, CG Puntonet, M Salmerón, R Martin-Clemente. | 2004 |
| Theoretical method for solving BSS-ICA using SVM | CG Puntonet, JM Górriz, M Salmerón, S Hornillo-Mellado. | 2004 |
| Using confidence interval of a regularization network | JM Górriz, C Puntonet, M Salmeron, R Martin-Clemente, .... | 2004 |
| Characterization of the sources in convolutive mixtures: A cumulant-based approach | S Hornillo-Mellado, CG Puntonet, R Martín-Clemente, .... | 2004 |
| Online algorithm for time series prediction based on support vector machine philosophy | JM Górriz, CG Puntonet, M Salmerón. | 2004 |
| Plugging an histogram-based contrast function on a genetic algorithm for solving postnonlinear-BSS | FR Ruiz, CG Puntonet, IR Ruiz, M Rodríguez-Álvarez, JM Górriz. | 2004 |
| Meta-heuristics hybridizing independent component analysis with genetic algorithms | JM Górriz, CG Puntonet, M Salmerón, E Lang. | 2004 |
| newdissertations continued | UPR Converters. | 2004 |
| Genetic Algorithms for solving SVM‐ICA | JM Górriz, CG Puntonet. | 2004 |
| Genetic algorithms in parallel neural networks | JM Gorriz, CG Puntonet, M Salmeron, I Rojas, R Martin-Clemente. | 2004 |
| Modelo de aprendizaje estadístico para el análisis de series temporales en tiempo real usando el análisis de componentes independientes | JMG Sáez, CG Puntonet, MS Campos. | 2004 |
| Parallelization of Time Series Forecasting Model. | JMG Sáez, CG Puntonet, M Salmerón, R Martín-Clemente. | 2004 |
| Improving ICA Algorithms Applied to Predicting Stock Returns. | JMG Sáez, CG Puntonet, R Martín-Clemente. | 2004 |
| Hybrid SOM-SVM Algorithm for Real Time Series Forecasting. | JMG Sáez, CG Puntonet, EW Lang. | 2004 |
| Parallel Implementation of Matrix Techniques | M Salmerón, CG Puntonet, J Ortega, JM Górriz. | 2004 |
| Time Series Prediction using ICA Algorithms and VC Theory | JM Gorriz, CG Puntonet, M Salmeron, F Rojas. | 2004 |
| On-line support vector machines and optimization strategies. | JM Górriz, CG Puntonet, M Salmerón, J Ortega. | 2004 |
| Hybrid ICA-ANN model applied to volatile time series forecasting | JM Gorriz, CG Puntonet, E Lang. | 2004 |
| Separación ciega de señales: diseño de una herramienta gráfica | JC Méndez, M Salmerón, JM Górriz, CG Puntonet, S Nassabay. | 2004 |
| Modelling Time Series with Exogenous Information | JM Gorriz, CG Puntonet, M Salmeron, J Ortega. | 2004 |
| Preprocessing time series with ICA and savitzky-golay filtering. | JM Górriz, CG Puntonet, M Salmerón. | 2004 |
| TIMES SERIES PREDICTION USING ICA ALGORITHMS VS. PARALLEL NEURAL NETWORKS | JM Gorriz, CG Puntonet, M Salmeron. | 2004 |
| ICATOOLBOX2. 0.: A MATLAB IMPLEMENTATION OF INDEPENDENT COMPONENT ANALYSIS ALGORITHMS | JM Gorriz, JC Mendez, CG Puntonet, M Salmerón, MJ Cazalla. | 2004 |
| Time series forecasting based on parallel neural network | JM Górriz, CG Puntonet, M Salmerón, J Ortega, M Aldasht. | 2004 |
| Hybrid SOM-SVM Algorithm for Real Time Series Forecasting | JM Górriz, CG Puntonet, EW Lang. | 2004 |
| Online Algorithm for Time Series Prediction Based on Support Vector Machine Philosophy. | JMG Sáez, CG Puntonet, M Salmerón. | 2004 |
| Improving ICA Algorithms Applied to Predicting Stock Returns | JM Górriz, CG Puntonet, R Martín-Clemente. | 2004 |
| Time Series Prediction using ICA Algorithms vs. Parallel Neural Networks | JM Gorriz, CG Puntonet, M Salmeron, EW Lang. | 2004 |
| for Solving BSS-ICA Using SVM | CG Puntoneta, JM Górriz, M Salmerón, S Hornillo-Mellado. | 2004 |
| Implementación en MATLAB de los algoritmos de separación de señales (ICA) basados en el análisis de componentes independientes: ICATOOLBOX2. 0 | J Górriz, C Puntonet, J Méndez, M Salmerón, M Cazalla. | 2004 |
| Time series prediction using ICA algorithms | JM Gorriz, CG Puntonet, M Salmerón, EW Lang. | 2003 |
| Evaluation of the performance potential of organic TFT circuits | R Brederlow, S Briole, H Klauk, M Halik, U Zschieschang, G Schmid, .... | 2003 |
| Algoritmos híbridos para la modelización de series temporales con técnicas ar-ica | JM Górriz. | 2003 |
| New Method for Filtered ICA Signals Applied To Volatile Time Series. | JM Górriz, CG Puntonet, M Salmerón, J Ortega. | 2003 |
| New model for time-series forecasting using rbfs and exogenous data | JM Górriz, CG Puntonet, JJG de la Rosa, M Salmerón. | 2003 |
| Prediccion y Tecnicas de Separacion de Senales | JMG Saez. | 2003 |
| In press: Algoritmos hıbridos para la modelización de series temporales con técniucas ar-ica | JMG Sáez. | 2003 |
| Predicción con Redes Neuronales y Técnicas de Separación de Senales | JM Górriz-Sáez. | 2003 |
| Hybrid algorithms for time series modelling using AR-ICA techniques. | SJM Gorriz. | 2003 |
| NUEVO MODELO DE PREDICCIÓN DE SERIES TEMPORALES CON RBFS E INFORMACIÓN EXÓGENA. | JM Górriz, JJ González, CG PUNTONET, M SALMERÓN. | 2003 |
| Analizador de componentes independientes. Aplicación a la separación de señales | A Frey, JJG de la Rosa, JMG Sáez. | 2003 |
| Neural AR Prediction model using exogenous series implemented in PVM | JM Górriz, CG Puntonet, M Aldasht, M Salmerón, M Damas. | 2003 |
| Hybrid algorithms for time series modelling using AR-ICA techniques | JMG Saez. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| New Model for Time-Series Forecasting Using RBF's and Exogenous Data | JMGCG Puntonet, JJG de la Rosa¹, M Salmerón. | 2003 |
| _Competitive Learning, Simulated Annealing and Genetic Algorithms for Source Separation_ | RM Solé, F Rojas, CG Puntonet, JM Górriz, A Prieto. | 2002 |
| Frecuencímetro virtual de precisión máxima automática: Diseño y ancho de banda | MS de la Jara, JJG de la Rosa, FJG Gallero, JMG Sáez. | 2002 |
| An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification. | W Zhang, J Kang, RC Gonzalez, RE Woods, JM Gorriz, J Ramirez, .... | 2002 |
| Programas para el control de instrumentación | A Manuel, M Cortés, J Saez, E Martín. | 1997 |
| Viral Load Measurement in HIV/AIDS Patients | S TUNCER, Ü Serhat. | 1997 |
| November 2008 | I Alvarez, M López, JM Górriz, J Ramırez, CG Puntonet, D Salas-Gonzalez. | 1990 |
| Closure Session | HB Woodruff, JM Mata, S Hernàndez, S Mochales, A Rodríguez, .... | 1977 |
| Implementación en Matlab de los algoritmos de separación de señales (ica) basados en el análisis de componentes independientes: ICATOOLBOX2. 0. | MJ Cazalla, JM Górriz, JC Méndez, CG Puntonet, M Salmerón. | 1970 |
| Implementación de Entrenadores de Comunicaciones en Placas Pcb | JM Górriz, CG Puntonet, J Ramírez, R Serrano. | 1970 |
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