PICNIC - Portal-based Platform for MRI Processing of Neurodegenerative Diseases. - J. Delgado-Mengual; Yolanda Vives-Gilabert; A. Sainz-Ruiz; M. Delfino-Reznicek; B. Gómez-Ansón (BIOINFORMATICS, 2010)

Improving the Execution Performance of FreeSurfer - A New Scheduled Pipeline Scheme for Optimizing the Use of CPU and GPU Resources. - Jordi Delgado; Juan C. Moure; Yolanda Vives-Gilabert; M. Delfino-Reznicek; Antonio Espinosa 001; B. Gómez-Ansón (Neuroinformatics, 2014)

Bayesian Classification Applied to Strain in Arrhythmogenic Left-Ventricle Cardiomyopathy. - Yolanda Vives-Gilabert; Begoña Igual; Santiago Jiménez-Serrano; Jorge Sanz; Raquel Cervigón; Antonio Cebrián; José Manuel Santabárbara; José Millet; Esther Zorio; Francisco Castells (CinC, 2017)

Dyssynchrony Assessment in Arrhythmogenic Cardiomyopathy With Left Ventricular Involvement. - Yolanda Vives-Gilabert; Jorge Sanz; Antonio Cebrián; Raquel Cervigón; José Millet; Esther Zorio; Francisco Castells (CinC, 2018)

Classification model based on strain measurements to identify patients with arrhythmogenic cardiomyopathy with left ventricular involvement. - Yolanda Vives-Gilabert; Esther Zorio; Jorge Sanz-Sánchez; Pilar Calvillo-Batllés; José Millet; Francisco Castells (Comput. Methods Programs Biomed., 2020)

Active Learning in Physics: From 101, to Progress, and Perspective. - Yongcheng Ding; José D. Martín-Guerrero; Yolanda Vives-Gilabert; Xi Chen 059 (CoRR, 2023)

Physics-Informed Neural Networks for an optimal counterdiabatic quantum computation. - Antonio Ferrer-Sánchez; Carlos Flores-Garrigos; Carlos Hernani-Morales; José J. Orquín-Marqués; Narendra N. Hegade; Alejandro Gomez Cadavid; Iraitz Montalban; Enrique Solano; Yolanda Vives-Gilabert; José D. Martín-Guerrero (CoRR, 2023)

Machine Learning for maximizing the memristivity of single and coupled quantum memristors. - Carlos Hernani-Morales; Gabriel Alvarado Barrios; Francisco Albarrán-Arriagada; Yolanda Vives-Gilabert; Enrique Solano; José D. Martín-Guerrero (CoRR, 2023)

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features. - Vladimir Belov; Tracy Erwin-Grabner; Ling-Li Zeng; Christopher R. K. Ching; André Aleman; Alyssa R. Amod; Zeynep Basgoze; Francesco Benedetti; Bianca Besteher; Katharina Brosch; Robin Bülow; Romain Colle; et al. (CoRR, 2023)

A Machine Learning-Based Surrogate Model of a Hemodialyzer for the Prediction of the Urea Dialyzer Clearance. - Angelo Giordano; Nunzio Cancilla; José D. Martín-Guerrero; Yolanda Vives-Gilabert; Michele Ciofalo; Giorgio Micale; Alessandro Tamburini (AIiH (1), 2025)

Performance Comparison of Machine Learning Models for the Prediction of Dialysis Treatment Variables. - A. Nicosia; Nunzio Cancilla; E. Di Liberti; José D. Martín-Guerrero; Yolanda Vives-Gilabert; A. Ferrantelli; F. Iacono; Valerio M. B. Brucato; Vincenzo La Carrubba; Ilenia Tinnirello; Andrea Cipollina (AIiH (1), 2025)

New ECG biomarkers and sex-stratified models for the detection of Arrhythmogenic Cardiomyopathy with left ventricular involvement. - Santiago Jiménez-Serrano; Jorge Sanz-Sánchez; Yolanda Vives-Gilabert; José Millet; Esther Zorio; Francisco Castells (Biomed. Signal Process. Control., 2025)

Automated classification of oral cancer lesions: Vision transformers vs radiomics. - Eva Chilet-Martos; Joan Vila-Francés; José V. Bagan; Yolanda Vives-Gilabert (Comput. Biol. Medicine, 2025)