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)

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 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)