Juan Manuel Górriz Sáez

Category

PhD

Contact

gorriz@sTXQjq1ckHL0ugr.es

Organization

UGR

Highly Cited Researcher 2022


Researcher Profile

Total From 2019:
Citas Total: 15676 From 2019: 9888
Índice H Total: 65 From 2019: 50
Índice i10 Total: 254 From 2019: 177

Papers (692)

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
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
A seven-layer convolutional neural network for chest CT-based COVID-19 diagnosis using stochastic pooling Y Zhang, SC Satapathy, LY Zhu, JM Górriz, S Wang. 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
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
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
_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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