Deep learning to extract Breast Cancer diagnosis concepts. - Oswaldo Solarte Pabón; Maria Torrente; Alvaro Garcia-Barragán; Mariano Provencio; Ernestina Menasalvas; Victor Robles (CBMS, 2022)

Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning. - Alvaro Garcia-Barragán; Oswaldo Solarte Pabón; Georgiy Nedostup; Mariano Provencio; Ernestina Menasalvas; Victor Robles (CBMS, 2023)

Transformers for extracting breast cancer information from Spanish clinical narratives. - Oswaldo Solarte Pabón; Orlando Montenegro; Alvaro Garcia-Barragán; Maria Torrente; Mariano Provencio; Ernestina Menasalvas; Víctor Robles (Artif. Intell. Medicine, 2023)

Step-forward structuring disease phenotypic entities with LLMs for disease understanding. - Alvaro Garcia-Barragán; Alberto González Calatayud; Lucía Prieto Santamaría; Víctor Robles; Ernestina Menasalvas; Alejandro Rodríguez (CBMS, 2024)

NSSC: a neuro-symbolic AI system for enhancing accuracy of named entity recognition and linking from oncologic clinical notes. - Alvaro Garcia-Barragán; Ahmad Sakor; Maria-Esther Vidal; Ernestina Menasalvas; Juan Cristobal Sanchez Gonzalez; Mariano Provencio; Víctor Robles (Medical Biol. Eng. Comput., 2025)