Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN. - Francisco Carrillo-Perez; Luis Javier Herrera; Juan Miguel Carceller; Alberto Guillén (IWANN (1), 2019)

Enhancing Breast Cancer Classification via Information and Multi-model Integration. - Juan Carlos Morales; Francisco Carrillo-Perez; Daniel Castillo-Secilla; Ignacio Rojas; Luis Javier Herrera (IWBBIO, 2020)

Composition Classification of Ultra-High Energy Cosmic Rays. - Luis Javier Herrera; Carlos José Todero Peixoto; Oresti Baños; Juan Miguel Carceller; Francisco Carrillo-Perez; Alberto Guillén (Entropy, 2020)

Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer. - Francisco Carrillo-Perez; Juan Carlos Morales; Daniel Castillo-Secilla; Alberto Guillén; Ignacio Rojas; Luis Javier Herrera (BIOMESIP, 2021)

COVID-19 Detection Method from Chest CT Scans via the Fusion of Slice Information and Lung Segmentation. - Jesús Toledano Pavón; Juan Carlos Morales Vega; Francisco Carrillo-Perez; Luis Javier Herrera; Ignacio Rojas (BIOMESIP, 2021)

Ensemble Models for Covid Prediction in X-Ray Images. - Juan Carlos Morales Vega; Francisco Carrillo-Perez; Jesús Toledano Pavón; Luis Javier Herrera Maldonado; Ignacio Rojas Ruiz (IWANN (1), 2021)

Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion. - Francisco Carrillo-Perez; Juan Carlos Morales; Daniel Castillo-Secilla; Yésica Molina-Castro; Alberto Guillén; Ignacio Rojas; Luis Javier Herrera (BMC Bioinform., 2021)

KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge. - Daniel Castillo-Secilla; Juan Manuel Galvez; Francisco Carrillo-Perez; Marta Verona-Almeida; Daniel Redondo-Sánchez; Francisco M. Ortuño Guzman; Luis Javier Herrera; Ignacio Rojas (Comput. Biol. Medicine, 2021)

Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals. - Francisco Carrillo-Perez; Luis Javier Herrera; Juan Miguel Carceller; Alberto Guillén (Neural Comput. Appl., 2021)

Speeding up Simulations for Radiotherapy Research by Means of Machine Learning. - Isabel Fernández; Carmen Ovejero; Luis Javier Herrera; Ignacio Rojas; Francisco Carrillo-Perez; Alberto Guillén (IWBBIO (1), 2023)

Deep Learning-Based Breast Cancer Subtype Classification from Whole-Slide Images: Leveraging the BRACS Dataset. - Nerea Hernández; Francisco Carrillo-Perez; Francisco M. Ortuño; Ignacio Rojas (IWBBIO (2), 2024)

SnapperML: A python-based framework to improve machine learning operations. - Antonio Molner; Francisco Carrillo-Perez; Alberto Guillén (SoftwareX, 2024)

Comparative Analysis of Machine Learning Models for Lung Cancer Mutation Detection and Staging Using 3D CT Scans. - Yiheng Li; Francisco Carrillo-Perez; Mohammed Alawad; Olivier Gevaert (CoRR, 2025)