Francisco Jesús Martínez Murcia
Contact
fjesusmartinez@ugr.p3gXv2lUes
Organization
UGR| Total | From 2019: | |
|---|---|---|
| Citas | Total: 3246 | From 2019: 2719 |
| Índice H | Total: 32 | From 2019: 27 |
| Índice i10 | Total: 58 | From 2019: 49 |
Papers (141)
| Title | Authors | Year |
|---|---|---|
| Statistical Agnostic Regression: a machine learning method to validate regression models | JM Gorriz, J Ramirez, F Segovia, FJ Martinez-Murcia, C Jiménez-Mesa, .... | 2024 |
| Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration. | NJ Gallego Molina, A Ortiz-García, MA Formoso Trigo, FJ Martínez-Murcia, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| 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 |
| Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration | NJ Gallego-Molina, A Ortiz, MA Formoso, FJ Martínez-Murcia, WL Woo. | 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 |
| 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 Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis | NJ Gallego-Molina, A Ortiz, JE Arco, FJ Martinez-Murcia, WL Woo. | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| 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 |
| 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 |
| 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 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| 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 Functional Brain Network Dynamics in Dyslexia From fNIRS Data | NJ Gallego-Molina, A Ortiz, FJ Martinez-Murcia, I Rodriguez-Rodriguez, .... | 2023 |
| Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data. | NJ Gallego-Molina, A Ortiz, FJ Martinez-Murcia, I Rodríguez-Rodríguez, .... | 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 |
| An exploratory analysis of lung cancer survival using NGS genetic predictors and partial least squares. | S Sequero-Lopez, FJ Martinez-Murcia, D Castillo-Barnes, .... | 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 |
| 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 |
| Frequency and course of behavioural and neuropsychiatric symptoms in genetic frontotemporal dementia | S Schoenecker, FJ Martinez-Murcia, N Franzmeier, J Denecke, .... | 2023 |
| Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images | D Castillo-Barnes, C Jimenez-Mesa, FJ Martinez-Murcia, .... | 2022 |
| Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing | MA Formoso, A Ortiz, FJ Martínez-Murcia, DA Brítez, JJ Escobar, .... | 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 |
| Capacity Estimation from Environmental Audio Signals Using Deep Learning | C Reyes-Daneri, FJ Martínez-Murcia, A Ortiz. | 2022 |
| Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis | NJ Gallego-Molina, A Ortiz, FJ Martínez-Murcia, I Rodríguez-Rodríguez. | 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 |
| Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis | NJ Gallego-Molina, A Ortiz, FJ Martínez-Murcia, MA Formoso, A Giménez. | 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 |
| Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification | JE Arco, A Ortiz, J Ramírez, FJ Martínez-Murcia, YD Zhang, J Broncano, .... | 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 |
| Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy | FJ Martinez-Murcia, A Ortiz, J Ramírez, JM Górriz, R Cruz. | 2021 |
| Exploring brain connectivity in auditory processing using complex network analysis. Application to dyslexia diagnosis | NJ Gallego-Molina, A Ortiz, FJ Martínez-Murcia, M Formoso, JL Luque. | 2021 |
| Temporal EigenPAC for dyslexia diagnosis | N Gallego-Molina, M Formoso, A Ortiz, FJ Martínez-Murcia, JL Luque. | 2021 |
| Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis | MA Formoso, A Ortiz, FJ Martínez-Murcia, N Gallego-Molina, JL Luque. | 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 |
| Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis | MA Formoso, A Ortiz, FJ Martinez-Murcia, N Gallego, JL Luque. | 2021 |
| Complex network modelling of EEG band coupling in dyslexia: an exploratory analysis of auditory processing and diagnosis | NJ Gallego-Molina, A Ortiz, FJ Martínez-Murcia, M Formoso, A Giménez. | 2021 |
| Deep Residual Transfer Learning for Automatic Diabetic Retinopathy Grading. | FJ Martínez-Murcia, A Ortiz-García, J Ramírez, JM Górriz-Sáez, R Cruz. | 2021 |
| Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning | D Castillo-Barnes, L Su, J Ramírez, D Salas-Gonzalez, .... | 2020 |
| A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia | FJ Martinez-Murcia, A Ortiz, M Lopez-Zamora, JL Luque, A Giménez. | 2020 |
| Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach | A Ortiz, FJ Martinez-Murcia, JL Luque, A Gimenez, R Ortega-Morales, .... | 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 |
| 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 |
| Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach. | A Ortiz, FJ Martinez-Murcia, JL Luque, A Gimenez, R Morales-Ortega, .... | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Dyslexia detection from EEG signals using SSA component correlation and Convolutional Neural Networks | A Ortiz, FJ Martínez-Murcia, MA Formoso, JL Luque, A Sánchez. | 2020 |
| Longitudinal correlation between neurofilament light chain and UMSARS in Multiple System Atrophy | C Palleis, E Morenas-Rodriguez, FJ Martinez-Murcia, A Giese, B Nuscher, .... | 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 |
| 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 |
| 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 |
| An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals | A Ortiz, PJ López, JL Luque, FJ Martínez-Murcia, DA Aquino-Britez, .... | 2019 |
| Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology. | F Segovia, JM Górriz, J Ramírez, FJ Martínez-Murcia, D Castillo-Barnes. | 2019 |
| Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes | A Ortiz, FJM Murcia, J Munilla, JM Górriz, J Ramírez. | 2019 |
| ¡ Las máquinas nos quitan el trabajo! Una introducción a la inteligencia artificial y al deep learning | FJ Martínez Murcia. | 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 |
| 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 |
| 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 |
| Comparison between affine and non-affine transformations applied to I [123]-FP-CIT SPECT images used for Parkinson’s disease diagnosis | DC Barnes, FJM Murcia, FS Román, II Gala, DS González, JG Magaña, .... | 2019 |
| Consortium, MA; Suckling, J | JM Górriz, J Ramírez, F Segovia, FJ Martínez, MC Lai, MV Lombardo, .... | 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 |
| 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 |
| 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 |
| 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 |
| Procesamiento, análisis y clasificacion de neuroimagen con arquitecturas Deep Learning hıbridas | A Ortiz, FJ Martinez-Murcia, J Munilla, JM Górriz, J Ramırez, 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Statistical neuroimage modelling, processing and synthesis based on texture and component analysis: Tackling the small sample size problem | FJ Martínez Murcia. | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 2017 |
| Simulating functional brain images in Alzheimer's disease | U Vidal-Sanz, FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, .... | 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 |
| 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 |
| On the Use of Match Filtering for the P300 Detection | V Lafuente, JM Górriz, J Ramírez, FJ Martinez-Murcia, 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 |
| 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 |
| Building a FP-CIT SPECT brain template using a posterization approach | D Salas-Gonzalez, JM Górriz, J Ramírez, IA Illán, P Padilla, .... | 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 |
| 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 |
| PETRA: Multivariate analyses for neuroimaging data | F Segovia-Román, I Álvarez Illán, D Salas-Gonzalez, FJ Martínez-Murcia, .... | 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 |
| Automatic ROI selection in structural brain MRI using SOM 3D projection | A Ortiz, JM Górriz, J Ramirez, FJ Martinez-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 |
| 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 |
| 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 |
| Automatic orientation of functional brain images for multiplataform software | IA Illán, JM Górriz, J Ramirez, D Salas-González, FJ Martínez-Murcia, .... | 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 |
| 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 |
| 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 |
| 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 |
| El Observatorio de Quercus: la naturaleza en abril | FJ Murcia, JAL Sáez, PP Martín. | 2008 |
| El observatorio de" Quercus": la naturaleza en junio | FJ Murcia, S Rossi, A Ortiz. | 2005 |
| Arqueometalurgia y funcionalidad:: una nueva aproximación al estudio de los metales en la Prehistoria | CG Sáez, R Márquez, C Martín, P Alonso, JJ Martín, CC García, .... | 2005 |
| Metodologiá de Modernización Aplicada a un Sistema de Protecciones Eléctricas | C Pinedo, F Murcia, G Caicedo Delgado, M Caicedo, C Gutíerrez. | 1997 |
Descargando datos de la publicación