Francisco Carrillo-Perez

According to our database, Francisco Carrillo-Perez authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

SnapperML: A python-based framework to improve machine learning operations.

Antonio Molner, Francisco Carrillo-Perez, Alberto Guillén

SoftwareX, 2024

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

Proceedings of the Bioinformatics and Biomedical Engineering, 2024

2023

Speeding up Simulations for Radiotherapy Research by Means of Machine Learning.

I. Fernández, C. Ovejero, Luis Javier Herrera, Ignacio Rojas, Francisco Carrillo-Perez, Alberto Guillén

Proceedings of the Bioinformatics and Biomedical Engineering, 2023

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

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

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

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

Proceedings of the Advances in Computational Intelligence, 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

Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

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

Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

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

Enhancing Breast Cancer Classification via Information and Multi-model Integration.

Juan Carlos Morales, Francisco Carrillo-Perez, Daniel Castillo-Secilla, Ignacio Rojas, Luis Javier Herrera

Proceedings of the Bioinformatics and Biomedical Engineering, 2020

2019

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

Proceedings of the Advances in Computational Intelligence, 2019