Francisco Jesús Martínez Murcia

Category

Doctor

Contact

fjesusmartinez@ugr.VsM4p7UGxes

Organismo

UGR

Researcher Profile

Total From 2015:
Citas Total: 786 From 2015: 724
Índice H Total: 15 From 2015: 15
Índice i10 Total: 25 From 2015: 25

Papers (84)

Title Authors Year
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
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
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
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
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
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 junio FJ Murcia, S Rossi, A Ortiz. 2005

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