Recognition of peripheral blood cell images using convolutional neural networks. - Andrea Acevedo; Santiago Alférez; Anna Merino; Laura Puigví; José Rodellar (Comput. Methods Programs Biomed., 2019)

Color clustering segmentation framework for image analysis of malignant lymphoid cells in peripheral blood. - Santiago Alférez; Anna Merino; Andrea Acevedo; Laura Puigví; José Rodellar (Medical Biol. Eng. Comput., 2019)

A Deep Learning Approach for Segmentation of Red Blood Cell Images and Malaria Detection. - Maria Delgado-Ortet; Angel Molina; Santiago Alférez; José Rodellar; Anna Merino (Entropy, 2020)

A new convolutional neural network predictive model for the automatic recognition of hypogranulated neutrophils in myelodysplastic syndromes. - Andrea Acevedo; Anna Merino; Laura Boldú; Angel Molina; Santiago Alférez; José Rodellar (Comput. Biol. Medicine, 2021)

Automatic identification of malaria and other red blood cell inclusions using convolutional neural networks. - Angel Molina; José Rodellar; Laura Boldú; Andrea Acevedo; Santiago Alférez; Anna Merino (Comput. Biol. Medicine, 2021)

Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks. - Kevin Barrera; José Rodellar; Santiago Alférez; Anna Merino (Comput. Methods Programs Biomed., 2023)

A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils. - Kevin Barrera; José Rodellar; Santiago Alférez; Anna Merino (Comput. Biol. Medicine, 2024)

DEFENDIFY: defense amplified with transfer learning for obfuscated malware framework. - Rodrigo Castillo Camargo; Juan Murcia Nieto; Nicolás Rojas 004; Daniel Díaz López; Santiago Alférez; Ángel Luis Perales Gómez; Pantaleone Nespoli; Félix Gómez Mármol; Umit Karabiyik (Cybersecur., 2025)