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)

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)

Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability. - Carmen Jimenez-Mesa; Javier Ramírez 001; John Suckling; Jonathan Vöglein; Johannes Levin; Juan Manuel Górriz; Alzheimer's Disease Neuroimaging Initiative; Dominantly Inherited Alzheimer Network (DIAN) (CoRR, 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)

CAD System for Parkinson's Disease with Penalization of Non-significant or High-Variability Input Data Sources. - Diego Castillo-Barnes; Javier Merino-Chica; R. Garcia-Diaz; Carmen Jimenez-Mesa; Juan Eloy Arco; Javier Ramírez 001; J. M. Górriz (IWINAC (1), 2022)

Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson's Disease. - Diego Castillo-Barnes; Juan Eloy Arco; Carmen Jimenez-Mesa; Javier Ramírez 001; J. M. Górriz; Diego Salas-Gonzalez (IWINAC (1), 2022)

Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test. - Carmen Jimenez-Mesa; Juan Eloy Arco; Meritxell Valentí-Soler; Belén Frades-Payo; María A. Zea-Sevilla; Andrés Ortiz 001; Marina Ávila-Villanueva; Diego Castillo-Barnes; Javier Ramírez 001; Teodoro Del Ser-Quijano; Cristóbal Carnero-Pardo; Juan Manuel Górriz (IWINAC (1), 2022)

Analyzing Statistical Inference Maps Using MRI Images for Parkinson's Disease. - Carmen Jimenez-Mesa; Diego Castillo-Barnes; Juan Eloy Arco; Fermín Segovia; Javier Ramírez 001; 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)

A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model. - J. M. Górriz; Carmen Jimenez-Mesa; Fermín Segovia; Javier Ramírez 001; John Suckling (IEEE J. Biomed. Health Informatics, 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)

A non-parametric statistical inference framework for Deep Learning in current neuroimaging. - Carmen Jimenez-Mesa; Javier Ramírez 001; John Suckling; Jonathan Vöglein; Johannes Levin; Juan Manuel Górriz (Inf. Fusion, 2023)

Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern. - Carmen Jimenez-Mesa; Juan Eloy Arco; Meritxell Valentí-Soler; Belén Frades-Payo; María A. Zea-Sevilla; Andrés Ortiz 001; Marina Ávila-Villanueva; Diego Castillo-Barnes; Javier Ramírez 001; Teodoro Del Ser-Quijano; Cristóbal Carnero-Pardo; Juan Manuel Górriz (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)

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 Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test. - Carmen Jimenez-Mesa; Juan Eloy Arco; Meritxell Valentí-Soler; Belén Frades-Payo; María A. Zea-Sevilla; Andrés Ortiz 001; Marina Ávila-Villanueva; Javier Ramírez 001; Teodoro Del Ser-Quijano; Cristóbal Carnero-Pardo; Juan Manuel Górriz (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)

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)

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)