Dolores Salas-Trejo

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 4

Top Topics

Multivariate Adaptive Regression Splines

Single Nucleotide Polymorphisms

Mammographic Images

Top Venues

Comput. Methods Programs Biomed.

Neural Comput. Appl.

Publications

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)
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)
Juan Enrique Sánchez Lasheras, Carmen González-Donquiles, Paulino José García Nieto, José Juan Jiménez Moleon, Dolores Salas-Trejo, Sergio Luis Suárez Gómez, Antonio J. Molina de la Torre, Joaquín González-Nuevo, Laura Bonavera, Jorge Carballido-Landeira, Francisco Javier de Cos Juez
A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks. Neural Comput. Appl. 32 (5) (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)
Rafael Llobet, Marina Pollán, Joaquín Antón, Josefa Miranda-García, María Casals, Inmaculada Martínez, Francisco Ruiz-Perales, Beatriz Pérez-Gómez, Dolores Salas-Trejo, Juan Carlos Pérez-Cortes
Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction. Comput. Methods Programs Biomed. 116 (2) (2014)