Yolanda Vives-Gilabert

According to our database, Yolanda Vives-Gilabert authored at least 9 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Colm G. Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G. Davey, Annemiek Dols, Jan Ernsting, Jennifer W. Evans, Lukas Fisch, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H. Gotlib, Hans Jörgen Grabe, Nynke A. Groenewold, Dominik Grotegerd, Tim Hahn, J. Paul Hamilton, Laura K. M. Han, Ben J. Harrison, Tiffany C. Ho, Neda Jahanshad, Alec J. Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas M. Lancaster, Ramona Leenings, Meng Li, David E. J. Linden, Frank P. MacMaster, David M. A. Mehler, Susanne Meinert, Elisa Melloni, Bryon A. Mueller, Benson Mwangi, Igor Nenadic, Amar Ojha, Yasumasa Okamoto, Mardien L. Oudega, Brenda W. J. H. Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J. Portella, Elena Pozzi, Joaquim Radua, Elena Rodríguez-Cano, Matthew D. Sacchet, Raymond Salvador, Anouk Schrantee, Kang Sim, Jair C. Soares, Aleix Solanes, Dan J. Stein, Frederike Stein, Aleks Stolicyn, Sophia I. Thomopoulos, Yara J. Toenders, Aslihan Uyar-Demir, Eduard Vieta, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Heather C. Whalley, Sarah Whittle, Nils R. Winter, Katharina Wittfeld, Margaret J. Wright, Mon-Ju Wu, Tony T. Yang, Carlos Zarate, Dick J. Veltman, Lianne Schmaal, Paul M. Thompson, Roberto Goya-Maldonado

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

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

Active Learning in Physics: From 101, to Progress, and Perspective.

Yongcheng Ding, José D. Martín-Guerrero, Yolanda Vives-Gilabert, Xi Chen

CoRR, 2023

2020

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

2018

Dyssynchrony Assessment in Arrhythmogenic Cardiomyopathy With Left Ventricular Involvement.

Yolanda Vives-Gilabert, Jorge Sanz, Antonio Cebrián, Raquel Cervigón, José Millet, Esther Zorio, Francisco Castells

Proceedings of the Computing in Cardiology, 2018

2017

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

Proceedings of the Computing in Cardiology, 2017

2014

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, B. Gómez-Ansón

Neuroinformatics, 2014

2010

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

Proceedings of the BIOINFORMATICS 2010, 2010