A Fast Pyramidal Bayesian Model for Mitosis Detection in Whole-Slide Images. - Santiago López-Tapia; José Aneiros-Fernández; Nicolás Pérez de la Blanca (ECDP, 2019)

Improvement of Mitosis Detection Through the Combination of PHH3 and HE Features. - Santiago López-Tapia; Cristobal Olivencia; José Aneiros-Fernández; Nicolás Pérez de la Blanca (ECDP, 2019)

Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. - Fernando Pérez-Bueno; Miguel Vega; María Á. Sales; José Aneiros-Fernández; Valery Naranjo; Rafael Molina 001; Aggelos K. Katsaggelos (Comput. Methods Programs Biomed., 2021)

A Self-Contrastive Learning Framework for Skin Cancer Detection Using Histological Images. - Rocío del Amor; Adrián Colomer; Sandra Morales; Cristian Pulgarín-Ospina; Liria Terradez; José Aneiros-Fernández; Valery Naranjo (ICIP, 2022)

Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset. - Rocío del Amor; Jose Pérez-Cano; Miguel López-Pérez; Liria Terradez; José Aneiros-Fernández; Sandra Morales; Javier Mateos; Rafael Molina 001; Valery Naranjo (Artif. Intell. Medicine, 2023)

CR-AI4SkIN dataset. - Rocío del Amor; Jose Pérez-Cano; Miguel López-Pérez; Liria Terradez; José Aneiros-Fernández; Sandra Morales; Javier Mateos; Rafael Molina 001; Valery Naranjo (Zenodo, 2024)