Deep Learning Techniques for Real Time Computer-Aided Diagnosis in Colorectal Cancer. - Alba Nogueira-Rodríguez; Hugo López-Fernández; Daniel Glez-Peña (DCAI (Special Sessions), 2019)

Compi Hub: A Public Repository for Sharing and Discovering Compi Pipelines. - Alba Nogueira-Rodríguez; Hugo López-Fernández; Osvaldo Graña-Castro; Miguel Reboiro-Jato; Daniel Glez-Peña (PACBB, 2020)

Deep Neural Networks approaches for detecting and classifying colorectal polyps. - Alba Nogueira-Rodríguez; Rubén Domínguez-Carbajales; Hugo López-Fernández; Águeda Iglesias; Joaquín Cubiella; Florentino Fdez-Riverola; Miguel Reboiro-Jato; Daniel Glez-Peña (Neurocomputing, 2021)

Compi: a framework for portable and reproducible pipelines. - Hugo López-Fernández; Osvaldo Graña-Castro; Alba Nogueira-Rodríguez; Miguel Reboiro-Jato; Daniel Glez-Peña (PeerJ Comput. Sci., 2021)

Real-time polyp detection model using convolutional neural networks. - Alba Nogueira-Rodríguez; Rubén Domínguez-Carbajales; Fernando Campos-Tato; Jesús Herrero; Manuel Puga; David Remedios; Laura Rivas; Eloy Sánchez; Águeda Iglesias; Joaquín Cubiella; Florentino Fdez-Riverola; Hugo López-Fernández; et al. (Neural Comput. Appl., 2022)

PanDrugs2: prioritizing cancer therapies using integrated individual multi-omics data. - María José Jiménez-Santos; Alba Nogueira-Rodríguez; Elena Piñeiro-Yáñez; Hugo López-Fernández; Santiago García-Martín; Paula Gómez-Plana; Miguel Reboiro-Jato; Gonzalo Gómez-López; Daniel Glez-Peña; Fátima Al-Shahrour (Nucleic Acids Res., 2023)