Analysis of Spect Brain Images Using Wilcoxon and Relative Entropy Criteria and Quadratic Multivariate Classifiers for the Diagnosis of Alzheimer's Disease. - Francisco Jesús Martínez-Murcia; Diego Salas-Gonzalez; J. M. Górriz; Javier Ramírez 001; Carlos García Puntonet; Manuel Gómez-Río (IWINAC (2), 2011)

Computer Aided Diagnosis tool for Alzheimer's Disease based on Mann-Whitney-Wilcoxon U-Test. - Francisco Jesús Martínez-Murcia; Juan Manuel Górriz; Javier Ramírez 001; Carlos García Puntonet; Diego Salas-Gonzalez (Expert Syst. Appl., 2012)

Automatic Orientation of Functional Brain Images for Multiplataform Software. - Ignacio Álvarez Illán; Juan Manuel Górriz; Javier Ramírez 001; Diego Salas-Gonzalez; Francisco Jesús Martínez-Murcia; Fermín Segovia; Carlos García Puntonet (IWINAC (1), 2013)

Texture Features Based Detection of Parkinson's Disease on DaTSCAN Images. - Francisco Jesús Martínez-Murcia; Juan Manuel Górriz; Javier Ramírez 001; I. Álvarez Illán; Carlos García Puntonet (IWINAC (2), 2013)

Functional activity maps based on significance measures and Independent Component Analysis. - Francisco Jesús Martínez-Murcia; J. M. Górriz; Javier Ramírez 001; Carlos García Puntonet; Ignacio Álvarez Illán (Comput. Methods Programs Biomed., 2013)

Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease. - A. Rojas; J. M. Górriz; Javier Ramírez 001; Ignacio Álvarez Illán; Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Manuel Gómez-Río; M. Moreno-Caballero (Expert Syst. Appl., 2013)

LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease. - Andrés Ortiz 001; Juan Manuel Górriz; Javier Ramírez 001; Francisco Jesús Martínez-Murcia (Pattern Recognit. Lett., 2013)

Projecting MRI brain images for the detection of Alzheimer's Disease. - Francisco Jesús Martínez-Murcia; Juan Manuel Górriz; Javier Ramírez 001; Ignacio Álvarez Illán; Diego Salas-Gonzalez; Fermín Segovia (InMed, 2014)

Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation. - Andrés Ortiz 001; Daniel Fajardo; Juan Manuel Górriz; Javier Ramírez 001; Francisco Jesús Martínez-Murcia (InMed, 2014)

Affine registration of [123I]FP-CIT SPECT brain images. - Diego Salas-Gonzalez; Juan Manuel Górriz; Javier Ramírez 001; Ignacio A. Illán; Pablo Padilla; Francisco Jesús Martínez-Murcia; Elmar Wolfgang Lang (InMed, 2014)

PETRA: Multivariate analyses for neuroimaging data. - Fermín Segovia; Ignacio Álvarez Illán; Diego Salas-Gonzalez; Francisco Jesús Martínez-Murcia; Christophe Phillips; Carlos García Puntonet; Javier Ramírez Perez de Inestrosa; Juan Manuel Górriz Sáez (IWBBIO, 2014)

Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging. - Francisco Jesús Martínez-Murcia; Juan Manuel Górriz; Javier Ramírez 001; Ignacio Álvarez Illán; Andrés Ortiz 001 (Neurocomputing, 2014)

A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer's Disease. - Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Juan Manuel Górriz; Javier Ramírez 001; I. Álvarez Illán (IWINAC (1), 2015)

Building a FP-CIT SPECT Brain Template Using a Posterization Approach. - Diego Salas-Gonzalez; Juan Manuel Górriz; Javier Ramírez 001; Ignacio Álvarez Illán; Pablo Padilla; Francisco Jesús Martínez-Murcia; Elmar Wolfgang Lang (Neuroinformatics, 2015)

Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques. - Javier Ramírez 001; Juan Manuel Górriz; Francisco Jesús Martínez-Murcia; Fermín Segovia; Diego Salas-Gonzalez (MMSP, 2016)

Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow. - Fermín Segovia; Marcelo García-Pérez; Juan Manuel Górriz; Javier Ramírez 001; Francisco Jesús Martínez-Murcia (SOCO-CISIS-ICEUTE, 2016)

A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer's Disease. - Francisco Jesús Martínez-Murcia; Juan Manuel Górriz; Javier Ramírez 001; Andrés Ortiz 001 (Int. J. Neural Syst., 2016)

On a Heavy-Tailed Intensity Normalization of the Parkinson's Progression Markers Initiative Brain Database. - Diego Castillo-Barnes; Carlos Arenas; Fermín Segovia; Francisco Jesús Martínez-Murcia; Ignacio A. Illán; Juan Manuel Górriz; Javier Ramírez 001; Diego Salas-Gonzalez (IWINAC (1), 2017)

Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images. - Juan Manuel Górriz; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Ignacio A. Illán; Fermín Segovia; Diego Salas-González; Andrés Ortiz 001 (IWINAC (1), 2017)

A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson's Disease. - Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Juan Manuel Górriz; Javier Ramírez 001; Fermín Segovia; Diego Salas-Gonzalez; Diego Castillo-Barnes; Ignacio A. Illán (IWINAC (1), 2017)

Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology. - Fermín Segovia; Juan Manuel Górriz; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Diego Castillo-Barnes; Ignacio A. Illán; Andrés Ortiz 001; Diego Salas-Gonzalez (IWINAC (1), 2017)

Case-based statistical learning applied to SPECT image classification. - Juan Manuel Górriz; Javier Ramírez 001; Ignacio A. Illán; Francisco Jesús Martínez-Murcia; Fermín Segovia; Diego Salas-Gonzalez; Andrés Ortiz 001 (Computer-Aided Diagnosis, 2017)

Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism. - Fermín Segovia; Diego Salas-Gonzalez; Juan Manuel Górriz; Javier Ramírez 001; Francisco Jesús Martínez-Murcia (Computer-Aided Diagnosis, 2017)

Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes. - Juan Manuel Górriz; Javier Ramírez 001; M. Moreno-Caballero; Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Ignacio A. Illán; Fermín Segovia; Diego Salas-Gonzalez; Manuel Gómez-Río (MIUA, 2017)

Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis. - Francisco Jesús Martínez-Murcia; Juan Manuel Górriz; Javier Ramírez 001; Fermín Segovia; Diego Salas-Gonzalez; Diego Castillo-Barnes; Ignacio A. Illán; Andrés Ortiz 001 (MIUA, 2017)

Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression. - Andrés Ortiz 001; Jorge Munilla; Francisco Jesús Martínez-Murcia; Juan Manuel Górriz; Javier Ramírez 001 (MIUA, 2017)

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM. - Juan Manuel Górriz; Javier Ramírez 001; John Suckling; Ignacio Álvarez Illán; Andrés Ortiz García; Francisco Jesús Martínez-Murcia; Fermín Segovia; Diego Salas-Gonzalez; Shuihua Wang (IEEE Access, 2017)

A semi-supervised learning approach for model selection based on class-hypothesis testing. - Juan Manuel Górriz; Javier Ramírez 001; John Suckling; Francisco Jesús Martínez-Murcia; Ignacio Álvarez; Fermín Segovia; Andrés Ortiz 001; Diego Salas-Gonzalez; Diego Castillo-Barnes; Carlos García Puntonet (Expert Syst. Appl., 2017)

A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI. - Diego Castillo-Barnes; Ignacio Peis; Francisco Jesús Martínez-Murcia; Fermín Segovia; Ignacio A. Illán; Juan Manuel Górriz; Javier Ramírez 001; Diego Salas-Gonzalez (Frontiers Neuroinformatics, 2017)

Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases. - Francisco Jesús Martínez-Murcia; Juan Manuel Górriz; Javier Ramírez 001; Ignacio A. Illán; Fermín Segovia; Diego Castillo-Barnes; Diego Salas-Gonzalez (Frontiers Neuroinformatics, 2017)

Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism. - Fermín Segovia; Juan Manuel Górriz; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Johannes Levin; Madeleine Schuberth; Matthias Brendel; Axel Rominger; Kai Bötzel; Gaëtan Garraux; Christophe Phillips (Frontiers Neuroinformatics, 2017)

Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach. - Fermín Segovia; Juan Manuel Górriz; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Diego Castillo-Barnes; R. Sanchez-Vano; Pablo Sopena-Novales; Manuel Gómez-Río (PRNI, 2018)

Classification Improvement for Parkinson's Disease Diagnosis Using the Gradient Magnitude in DaTSCAN SPECT Images. - Diego Castillo-Barnes; Fermín Segovia; Francisco Jesús Martínez-Murcia; Diego Salas-Gonzalez; Javier Ramírez 001; Juan Manuel Górriz (SOCO-CISIS-ICEUTE, 2018)

Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study. - Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Juan Manuel Górriz; Javier Ramírez 001; Diego Castillo-Barnes; Diego Salas-Gonzalez; Fermín Segovia (SOCO-CISIS-ICEUTE, 2018)

Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder. - Andrés Ortiz 001; Javier Ramírez 001; Ricardo Cruz-Arándiga; María J. García-Tarifa; Francisco Jesús Martínez-Murcia; Juan Manuel Górriz (SOCO-CISIS-ICEUTE, 2018)

Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease. - Diego Castillo-Barnes; Javier Ramírez 001; Fermín Segovia; Francisco Jesús Martínez-Murcia; Diego Salas-Gonzalez; Juan Manuel Górriz (Frontiers Neuroinformatics, 2018)

Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders. - Fermín Segovia; J. M. Górriz; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Marcelo García-Pérez (Log. J. IGPL, 2018)

Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed? - Francisco Jesús Martínez-Murcia; Juan Manuel Górriz; Javier Ramírez Perez de Inestrosa; Andrés Ortiz 001 (Int. J. Neural Syst., 2018)

Comparison Between Affine and Non-affine Transformations Applied to I ^[123] [ 123 ] -FP-CIT SPECT Images Used for Parkinson's Disease Diagnosis. - Diego Castillo-Barnes; Francisco Jesús Martínez-Murcia; Fermín Segovia; Ignacio A. Illán; Diego Salas-Gonzalez; Juan Manuel Górriz; Javier Ramírez 001 (IWINAC (1), 2019)

Support Vector Machine Failure in Imbalanced Datasets. - Ignacio A. Illán; Juan Manuel Górriz; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Diego Castillo-Barnes; Fermín Segovia; Diego Salas-González (IWINAC (1), 2019)

Periodogram Connectivity of EEG Signals for the Detection of Dyslexia. - Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Roberto Cesar Morales-Ortega; Pedro Javier Lopez-Abarejo; Juan Luis Luque; Diego Castillo-Barnes; Fermín Segovia; Ignacio A. Illán; Julio Ortega 001; Javier Ramírez 001; Juan Manuel Górriz (IWINAC (1), 2019)

An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals. - Andrés Ortiz 001; Pedro Javier Lopez-Abarejo; Juan Luis Luque; Francisco Jesús Martínez-Murcia; Diego A. Aquino Brítez; Julio Ortega 001 (IWINAC (1), 2019)

A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms. - Juan Manuel Górriz; Javier Ramírez 001; Fermín Segovia; Francisco Jesús Martínez-Murcia; Meng-Chuan Lai; Michael V. Lombardo; Simon Baron-Cohen; John Suckling (Int. J. Neural Syst., 2019)

Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling. - Andrés Ortiz 001; Jorge Munilla; Francisco Jesús Martínez-Murcia; Juan Manuel Górriz; Javier Ramírez 001 (Int. J. Neural Syst., 2019)

Assisted Diagnosis of Parkinsonism Based on the Striatal Morphology. - Fermín Segovia; Juan Manuel Górriz; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Diego Castillo-Barnes (Int. J. Neural Syst., 2019)

Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes. - Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Jorge Munilla; Juan Manuel Górriz; Javier Ramírez 001 (Neurocomputing, 2019)

A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia. - Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Marco A. Formoso; Miguel Lopez-Zamora; Juan Luis Luque; Almudena Giménez (HAIS, 2020)

Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks. - Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Marco A. Formoso; Juan Luis Luque; Auxiliadora Sánchez (HAIS, 2020)

Optimized One vs One Approach in Multiclass Classification for Early Alzheimer's Disease and Mild Cognitive Impairment Diagnosis. - Carmen Jimenez-Mesa; Ignacio Álvarez Illán; Alberto Martín-Martín; Diego Castillo-Barnes; Francisco Jesús Martínez-Murcia; Javier Ramírez 001; Juan Manuel Górriz (IEEE Access, 2020)

A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia. - Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Miguel Lopez-Zamora; Juan Luis Luque; Almudena Giménez (CoRR, 2020)

Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images. - Juan Eloy Arco; Andrés Ortiz 001; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Yu-Dong Zhang 001; Juan Manuel Górriz (CoRR, 2020)

Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease. - Diego Castillo-Barnes; Francisco Jesús Martínez-Murcia; Andrés Ortiz García; Diego Salas-Gonzalez; Javier Ramírez 001; Juan Manuel Górriz (Int. J. Neural Syst., 2020)

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia. - Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Juan Manuel Górriz; Javier Ramírez 001; Pedro Javier Lopez-Abarejo; Miguel Lopez-Zamora; Juan Luis Luque (Int. J. Neural Syst., 2020)

Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach. - Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Juan Luis Luque; Almudena Giménez; Roberto Cesar Morales-Ortega; Julio Ortega 001 (Int. J. Neural Syst., 2020)

Expectation-Maximization algorithm for finite mixture of α-stable distributions. - Diego Castillo-Barnes; Francisco Jesús Martínez-Murcia; Javier Ramírez 001; J. M. Górriz; Diego Salas-Gonzalez (Neurocomputing, 2020)

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. - Juan Manuel Górriz; Javier Ramírez 001; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Fermín Segovia; John Suckling; Matthew Leming; Yu-Dong Zhang 001; José Ramón Álvarez Sánchez; Guido Bologna; María Paula Bonomini; Fernando E. Casado; et al. (Neurocomputing, 2020)

Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning. - Diego Castillo-Barnes; Li Su 002; Javier Ramírez 001; Diego Salas-Gonzalez; Francisco Jesús Martínez-Murcia; Ignacio A. Illán; Fermín Segovia; Andrés Ortiz 001; Carlos Cruchaga; Martin R. Farlow; Chengjie Xiong; Neil R. Graff-Radford; et al. (Inf. Fusion, 2020)

Granger causality-based information fusion applied to electrical measurements from power transformers. - Jacob Rodriguez-Rivero; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Fermín Segovia; Andrés Ortiz 001; Diego Salas-Gonzalez; Diego Castillo-Barnes; Ignacio Álvarez Illán; Carlos García Puntonet; Carmen Jimenez-Mesa; F. J. Leiva; S. Carillo; et al. (Inf. Fusion, 2020)

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. - Yu-Dong Zhang 001; Zhengchao Dong; Shui-Hua Wang; Xiang Yu; Xujing Yao; Qinghua Zhou; Hua Hu; Min Li; Carmen Jimenez-Mesa; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Juan Manuel Górriz (Inf. Fusion, 2020)

Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders. - Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Juan Manuel Górriz; Javier Ramírez 001; Diego Castillo-Barnes (IEEE J. Biomed. Health Informatics, 2020)

Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis. - Marco A. Formoso; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Nicolás Gallego-Molina; Juan Luis Luque; Juan José Escobar; Francisco G. Montoya (BIOMESIP, 2021)

Temporal EigenPAC for Dyslexia Diagnosis. - Nicolás Gallego-Molina; Marco A. Formoso; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Juan Luis Luque (IWANN (2), 2021)

Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images. - Juan Eloy Arco; Andrés Ortiz 001; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Yu-Dong Zhang 001; Jordi Broncano; Manuel Álvaro Berbís; Javier Royuela-del-Val; Antonio Luna; Juan Manuel Górriz (CoRR, 2021)

Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis. - Marco A. Formoso; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Nicolás Gallego-Molina; Juan Luis Luque (CoRR, 2021)

Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy. - Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Javier Ramírez 001; Juan Manuel Górriz; Ricardo Cruz (Neurocomputing, 2021)

Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities. - Juan Manuel Górriz; Carmen Jimenez-Mesa; Rafael Romero-Garcia; Fermín Segovia; Javier Ramírez 001; Diego Castillo-Barnes; Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Diego Salas-Gonzalez; Ignacio Álvarez Illán; Carlos García Puntonet; David López-García; et al. (Inf. Fusion, 2021)

Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis. - Marco A. Formoso; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Nicolás Gallego-Molina; Juan Luis Luque (Sensors, 2021)

Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing. - Marco A. Formoso; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Diego A. Aquino Brítez; Juan José Escobar; Juan Luis Luque (IWINAC (1), 2022)

Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis. - Nicolás Gallego-Molina; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Ignacio Rodríguez-Rodríguez (IWINAC (1), 2022)

Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning. - Andrés Ortiz 001; Juan Eloy Arco; Marco A. Formoso; Nicolás Gallego-Molina; Ignacio Rodríguez-Rodríguez; Francisco Jesús Martínez-Murcia; Juan Manuel Górriz; Javier Ramírez 001 (IWINAC (1), 2022)

Capacity Estimation from Environmental Audio Signals Using Deep Learning. - C. Reyes-Daneri; Francisco Jesús Martínez-Murcia; Andrés Ortiz 001 (IWINAC (1), 2022)

Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging. - Fermín Segovia; Javier Ramírez 001; Diego Salas-Gonzalez; Ignacio Álvarez Illán; Francisco Jesús Martínez-Murcia; Jacob Rodriguez-Rivero; F. J. Leiva; C. Gaitan; J. M. Górriz (IWINAC (1), 2022)

Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images. - Jose Antonio Simón-Rodríguez; Francisco Jesús Martínez-Murcia; Javier Ramírez 001; Diego Castillo-Barnes; Juan Manuel Górriz (IWINAC (1), 2022)

Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images. - Diego Castillo-Barnes; Carmen Jimenez-Mesa; Francisco Jesús Martínez-Murcia; Diego Salas-Gonzalez; Javier Ramírez 001; Juan Manuel Górriz (Int. J. Neural Syst., 2022)

Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis. - Nicolás Gallego-Molina; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Marco A. Formoso; Almudena Giménez (Knowl. Based Syst., 2022)

Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders. - E. Delgado de las Heras; Francisco Jesús Martínez-Murcia; Ignacio A. Illán; Carmen Jiménez-Mesa; Diego Castillo-Barnes; Javier Ramírez 001; Juan Manuel Górriz (CoRR, 2023)

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia. - Francisco Jesús Martínez-Murcia; Andrés Ortiz 001; Juan Manuel Górriz; Javier Ramírez 001; Pedro Javier Lopez-Perez; Miguel López-Zamora; Juan Luis Luque (CoRR, 2023)

Connected system for monitoring electrical power transformers using thermal imaging. - Fermín Segovia; Javier Ramírez 001; Diego Salas-González; Ignacio A. Illán; Francisco Jesús Martínez-Murcia; Jacob Rodriguez-Rivero; F. J. Leiva; C. Gaitan; J. M. Górriz (Integr. Comput. Aided Eng., 2023)

Uncertainty-driven ensembles of multi-scale deep architectures for image classification. - Juan Eloy Arco; Andrés Ortiz 001; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Yudong Zhang 001; Juan Manuel Górriz (Inf. Fusion, 2023)

Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data. - Nicolás Gallego-Molina; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Ignacio Rodríguez-Rodríguez; Juan Luis Luque (Int. J. Neural Syst., 2023)

Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data. - Diego Castillo-Barnes; Francisco Jesús Martínez-Murcia; Carmen Jimenez-Mesa; Juan Eloy Arco; Diego Salas-Gonzalez; Javier Ramírez 001; J. M. Górriz (Int. J. Neural Syst., 2023)

Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification. - Juan Eloy Arco; Andrés Ortiz 001; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Yu-Dong Zhang 001; Jordi Broncano; Manuel Álvaro Berbís; Javier Royuela-del-Val; Antonio Luna; Juan Manuel Górriz (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. - J. M. Górriz; I. Álvarez Illán; Agustín Álvarez-Marquina; Juan Eloy Arco; Martin Atzmüller; F. Ballarini; Emilia I. Barakova; Guido Bologna; María Paula Bonomini; Germán Castellanos-Domínguez; Diego Castillo-Barnes; S. B. Cho; et al. (Inf. Fusion, 2023)

A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia. - Nicolás Gallego-Molina; Francisco Jesús Martínez-Murcia; Marco A. Formoso; Diego Castillo-Barnes; Andrés Ortiz 001; Javier Ramírez 001; J. M. Górriz; Pedro Javier Lopez-Perez; Juan Luis Luque (IWINAC, 2024)

Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration. - Nicolás Gallego-Molina; Andrés Ortiz 001; Marco A. Formoso; Francisco Jesús Martínez-Murcia; Wai Lok Woo (IWINAC, 2024)

PDBIGDATA: A New Database for Parkinsonism Research Focused on Large Models. - R. López; Francisco Jesús Martínez-Murcia; Javier Ramírez 001; Teodoro Martín-Noguerol; Félix Paulano-Godino; Antonio Luna; J. M. Górriz; Fermín Segovia (IWINAC, 2024)

A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson's Disease. - Cristóbal Vázquez-García; Francisco Jesús Martínez-Murcia; Juan Eloy Arco; Ignacio A. Illán; Carmen Jiménez-Mesa; Javier Ramírez 001; Juan Manuel Górriz (IWINAC, 2024)

Statistical Agnostic Regression: a machine learning method to validate regression models. - Juan Manuel Górriz; J. Ramirez; Fermín Segovia; Francisco Jesús Martínez-Murcia; Carmen Jiménez-Mesa; John Suckling (CoRR, 2024)

A Review of Latent Representation Models in Neuroimaging. - Cristóbal Vázquez-García; Francisco Jesús Martínez-Murcia; F. Segovia Román; Juan Manuel Górriz (CoRR, 2024)

Bridging Imaging and Clinical Scores in Parkinson's Progression via Multimodal Self-Supervised Deep Learning. - Francisco Jesús Martínez-Murcia; Juan Eloy Arco; Carmen Jimenez-Mesa; Fermín Segovia; Ignacio Álvarez; Javier Ramírez 001; Juan Manuel Górriz (Int. J. Neural Syst., 2024)

Multimodal Integration of EEG and Near-Infrared Spectroscopy for Robust Cross-Frequency Coupling Estimation. - Nicolás J. Gallego-Molina; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Wai Lok Woo (Int. J. Neural Syst., 2025)

Tutorial: VAE as an inference paradigm for neuroimaging. - Cristóbal Vázquez-García; Francisco Jesús Martínez-Murcia; F. Segovia Román; Juan Manuel Górriz Sáez (CoRR, 2025)

Uncovering Neuroimaging Biomarkers of Brain Tumor Surgery with AI-Driven Methods. - Carmen Jimenez-Mesa; Yizhou Wan; Guilio Sansone; Francisco Jesús Martínez-Murcia; Javier Ramírez 001; Pietro Lio; Juan Manuel Górriz; Stephen J. Price; John Suckling; Michail Mamalakis (CoRR, 2025)