Improving Breast Mass Classification Through Kernel Methods and the Fusion of Clinical Data and Image Descriptors. - Saiveth Hernández-Hernández; Antonio Orantes-Molina; Raúl Cruz-Barbosa (MCPR, 2018)

Mass segmentation of mammograms using Markov models associated with constrained clustering. - Raúl Cruz-Barbosa; Saiveth Hernández-Hernández; Luis Enrique Sucar (Medical Biol. Eng. Comput., 2020)

Conformal prediction of small-molecule drug resistance in cancer cell lines. - Saiveth Hernández-Hernández; Sachin Vishwakarma; Pedro J. Ballester (COPA, 2022)

Scaffold Splits Overestimate Virtual Screening Performance. - Qianrong Guo; Saiveth Hernández-Hernández; Pedro J. Ballester (ICANN (10), 2024)

UMAP-based clustering split for rigorous evaluation of AI models for virtual screening on cancer cell lines. - Qianrong Guo; Saiveth Hernández-Hernández; Pedro J. Ballester (J. Cheminformatics, 2025)