Francisco Javier Pérez-Benito
Francisco Javier Pérez-Benito
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A deep learning system to obtain the optimal parameters for a threshold-based breast and dense tissue segmentation
FJ Pérez-Benito, F Signol, JC Perez-Cortes, A Fuster-Baggetto, M Pollan, ...
Computer Methods and Programs in Biomedicine 195, 105668, 2020
Bias analysis on public X-ray image datasets of pneumonia and COVID-19 patients
ODT Catalá, IS Igual, FJ Pérez-Benito, DM Escrivá, VO Castelló, R Llobet, ...
Ieee Access 9, 42370-42383, 2021
A happiness degree predictor using the conceptual data structure for deep learning architectures
FJ Pérez-Benito, P Villacampa-Fernández, JA Conejero, ...
Computer methods and programs in biomedicine 168, 59-68, 2019
Subgrouping Factors Influencing Migraine Intensity in Women: A Semi‐automatic Methodology Based on Machine Learning and Information Geometry
FJ Pérez‐Benito, JA Conejero, C Saez, JM García‐Gómez, ...
Pain Practice 20 (3), 297-309, 2020
Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts
FJ Pérez-Benito, F Signol, JC Perez-Cortes, M Pollán, B Perez-Gomez, ...
Computer methods and programs in biomedicine 177, 123-132, 2019
Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years
FJ Pérez-Benito, C Sáez, JA Conejero, S Tortajada, B Valdivieso, ...
Plos one 14 (8), e0220369, 2019
A deep learning framework to classify breast density with noisy labels regularization
H Lopez-Almazan, FJ Pérez-Benito, A Larroza, JC Perez-Cortes, M Pollan, ...
Computer Methods and Programs in Biomedicine 221, 106885, 2022
Divisibility patterns within Pascal divisibility networks
PA Solares-Hernández, FA Manzano, FJ Pérez-Benito, JA Conejero
Mathematics 8 (2), 254, 2020
Community detection‐based deep neural network architectures: A fully automated framework based on Likert‐scale data
FJ Pérez‐Benito, JM García‐Gómez, E Navarro‐Pardo, JA Conejero
Mathematical Methods in the Applied Sciences 43 (14), 8290-8301, 2020
Breast dense tissue segmentation with noisy labels: A hybrid threshold-based and mask-based approach
A Larroza, FJ Pérez-Benito, JC Perez-Cortes, M Román, M Pollán, ...
Diagnostics 12 (8), 1822, 2022
Healthcare data heterogeneity and its contribution to machine learning performance
FJ Pérez Benito
Universitat Politècnica de València, 2020
Extended A Priori Probability (EAPP): a data-driven approach for machine learning binary classification tasks
FJ Pérez-benito, ODT Catalá, IS Igual, R Llobet, JC Perez-Cortes
IEEE Access 10, 120074-120085, 2022
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