Francisco Jesus Martinez Murcia
Francisco Jesus Martinez Murcia
Juan de la Cierva Fellow (UGR)
Verified email at - Homepage
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Computer aided diagnosis tool for Alzheimer’s disease based on Mann–Whitney–Wilcoxon U-test
FJ Martínez-Murcia, JM Górriz, J Ramirez, CG Puntonet, ...
Expert Systems with Applications 39 (10), 9676-9685, 2012
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, ...
Pattern Recognition Letters 34 (14), 1725-1733, 2013
Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging
FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, A Ortiz, ...
Neurocomputing 126, 58-70, 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, ...
Expert Systems with Applications 40 (7), 2756-2766, 2013
Parametrization of textural patterns in 123I‐ioflupane imaging for the automatic detection of Parkinsonism
FJ Martinez‐Murcia, JM Górriz, J Ramírez, M Moreno‐Caballero, ...
Medical physics 41 (1), 012502, 2014
Convolutional neural networks for neuroimaging in parkinson’s disease: is preprocessing needed?
FJ Martinez-Murcia, JM Górriz, J Ramírez, A Ortiz
International journal of neural systems 28 (10), 1850035, 2018
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, ...
Journal of neuroscience methods 302, 47-57, 2018
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
IEEE journal of biomedical and health informatics 24 (1), 17-26, 2019
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, ...
Human brain mapping 38 (3), 1208-1223, 2017
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, ...
Current Alzheimer Research 13 (5), 575-588, 2016
A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer’s Disease
FJ Martínez-Murcia, JM Górriz, J Ramírez, A Ortiz
International Journal of Neural Systems 26, 1650024, 2016
Automatic ROI selection in structural brain MRI using SOM 3D projection
A Ortiz, JM Górriz, J Ramírez, FJ Martinez-Murcia, ...
PloS one 9 (4), e93851, 2014
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, ...
Neurocomputing 410, 237-270, 2020
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, ...
IEEE Access 5, 11468-11478, 2017
Building a FP-CIT SPECT brain template using a posterization approach
D Salas-Gonzalez, JM Górriz, J Ramírez, IA Illán, P Padilla, ...
Neuroinformatics 13 (4), 391-402, 2015
Functional activity maps based on significance measures and independent component analysis
FJ Martínez-Murcia, JM Górriz, J Ramírez, CG Puntonet, IA Illán, ...
Computer methods and programs in biomedicine 111 (1), 255-268, 2013
A 3D convolutional neural network approach for the diagnosis of Parkinson’s disease
FJ Martinez-Murcia, A Ortiz, JM Górriz, J Ramírez, F Segovia, ...
International Work-Conference on the Interplay Between Natural and …, 2017
Automated diagnosis of parkinsonian syndromes by deep sparse filtering-based features
A Ortiz, FJ Martínez-Murcia, MJ García-Tarifa, F Lozano, JM Górriz, ...
International Conference on Innovation in Medicine and Healthcare, 249-258, 2016
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, ...
Information Fusion 64, 149-187, 2020
A machine learning approach to reveal the neurophenotypes of autisms
JM Górriz, J Ramírez, F Segovia, FJ Martínez, MC Lai, MV Lombardo, ...
International journal of neural systems 29 (07), 1850058, 2019
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