Alba Nogueira-Rodríguez

According to our database, Alba Nogueira-Rodríguez authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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., July, 2023

2022

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, Miguel Reboiro-Jato, Daniel Glez-Peña

Neural Comput. Appl., 2022

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

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

2020

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

Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2020

2019

Deep Learning Techniques for Real Time Computer-Aided Diagnosis in Colorectal Cancer.

Alba Nogueira-Rodríguez, Hugo López-Fernández, Daniel Glez-Peña

Proceedings of the Distributed Computing and Artificial Intelligence, 2019