Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction. - Rafael Llobet; Marina Pollán; Joaquín Antón; Josefa Miranda-García; María Casals; Inmaculada Martínez; Francisco Ruiz-Perales; Beatriz Pérez-Gómez; Dolores Salas-Trejo; Juan-Carlos Perez-Cortes (Comput. Methods Programs Biomed., 2014)

Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms. - Juan Enrique Sánchez Lasheras; Fernando Sánchez Lasheras; Carmen González-Donquiles; Adonina Tardón; Gemma Castaño Vynals; Beatriz Pérez-Gómez; Camilo Palazuelos; Dolors Sala; Francisco Javier de Cos Juez (HAIS, 2018)

Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts. - Francisco Javier Pérez-Benito; François Signol; Juan-Carlos Perez-Cortes; Marina Pollán; Beatriz Pérez-Gómez; Dolores Salas-Trejo; María Casals; Inmaculada Martínez; Rafael Llobet (Comput. Methods Programs Biomed., 2019)

A multivariate regression approach for identification of SNPs importance in prostate cancer. - Juan Enrique Sánchez Lasheras; Sergio Luis Suárez Gómez; Jesús Daniel Santos Rodríguez; Gemma Castaño-Vinyals; Beatriz Pérez-Gómez; Adonina Tardón (J. Exp. Theor. Artif. Intell., 2019)

A deep learning system to obtain the optimal parameters for a threshold-based breast and dense tissue segmentation. - Francisco Javier Pérez-Benito; François Signol; Juan-Carlos Perez-Cortes; Alejandro Fuster Baggetro; Marina Pollán; Beatriz Pérez-Gómez; Dolores Salas-Trejo; María Casals; Inmaculada Martínez; Rafael Llobet (Comput. Methods Programs Biomed., 2020)

A deep learning framework to classify breast density with noisy labels regularization. - Hector Lopez-Almazan; Francisco Javier Pérez-Benito; Andrés Larroza; Juan-Carlos Perez-Cortes; Marina Pollán; Beatriz Pérez-Gómez; Dolores Salas-Trejo; María Casals; Rafael Llobet (Comput. Methods Programs Biomed., 2022)