Francisco Javier Pérez-Benito

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 6

Top Topics

Binary Classification Tasks

Texture Features

Digital X Ray Images

Top Venues

Comput. Methods Programs Biomed.

Publications

Vicent Ortiz Castelló, Francisco Javier Pérez-Benito, Omar del Tejo Catalá, Ismael Salvador Igual, Rafael Llobet, Juan Carlos Pérez-Cortes
Extended a Priori Probability (EAPP): A Data-Driven Approach for Machine Learning Binary Classification Tasks. IEEE Access 10 (2022)
Hector Lopez-Almazan, Francisco Javier Pérez-Benito, Andrés Larroza, Juan Carlos Pérez-Cortes, Marina Pollán, Beatriz Pérez-Gómez, Dolores Salas-Trejo, María Casals, Rafael Llobet
A deep learning framework to classify breast density with noisy labels regularization. Comput. Methods Programs Biomed. 221 (2022)
Omar del Tejo Catalá, Ismael Salvador Igual, Francisco Javier Pérez-Benito, David Millán Escrivá, Vicent Ortiz Castelló, Rafael Llobet, Juan Carlos Pérez-Cortes
Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 Patients. IEEE Access 9 (2021)
Francisco Javier Pérez-Benito, François Signol, Juan Carlos Pérez-Cortes, Alejandro Fuster Baggetro, Marina Pollán, Beatriz Pérez-Gómez, Dolores Salas-Trejo, María Casals, Inmaculada Martínez, Rafael Llobet
A deep learning system to obtain the optimal parameters for a threshold-based breast and dense tissue segmentation. Comput. Methods Programs Biomed. 195 (2020)
Francisco Javier Pérez-Benito, François Signol, Juan Carlos Pérez-Cortes, Marina Pollán, Beatriz Pérez-Gómez, Dolores Salas-Trejo, María Casals, Inmaculada Martínez, Rafael Llobet
Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts. Comput. Methods Programs Biomed. 177 (2019)
Francisco Javier Pérez-Benito, Patricia Villacampa-Fernández, J. Alberto Conejero, Juan M. García-Gómez, Esperanza Navarro-Pardo
A happiness degree predictor using the conceptual data structure for deep learning architectures. Comput. Methods Programs Biomed. 168 (2019)