Juan F. Piñeiro

According to our database, Juan F. Piñeiro authored at least 9 papers between 2016 and 2024.

Collaborative distances:

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

2024

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection.

Himar Fabelo, Samuel Ortega, Adam Szolna, Diederik Bulters, Juan F. Piñeiro, Silvester Kabwama, Aruma J. O'Shanahan, Harry Bulstrode, Sara Bisshopp, B. R. Kiran, D. Ravi, Raquel Lazcano, Daniel Madroñal, C. Sosa, Carlos Espino Palma, M. Marquez, Maria De La Luz Plaza, R. Camacho, D. Carrera, M. Hernandez, Gustavo M. Callicó, Jesús Morera, Bogdan Stanciulescu, Guang-Zhong Yang, Rubén Salvador, Eduardo Juárez, César Sanz, R. Sarmiento

CoRR, 2024

Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations.

Himar Fabelo, Samuel Ortega, D. Ravi, B. R. Kiran, C. Sosa, Diederik Bulters, Gustavo M. Callicó, Harry Bulstrode, Adam Szolna, Juan F. Piñeiro, Silvester Kabwama, Daniel Madroñal, Raquel Lazcano, Aruma J. O'Shanahan, Sara Bisshopp, M. Hernandez, Abelardo Báez-Quevedo, Guang-Zhong Yang, Bogdan Stanciulescu, R. Salvador, E. Juarez, R. Sarmiento

CoRR, 2024

2023

Evaluation of Hyperspectral Imaging Fusion for in-vivo Brain Tumor Identification and Delineation.

Raquel León, Himar Fabelo, Samuel Ortega, Juan F. Piñeiro, Adam Szolna, Jesús Morera, Bernardino Clavo, Gustavo M. Callicó

Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

2022

Hyperspectral imaging for in-vivo/ex-vivo tissue analysis of human brain cancer.

Raquel León, Sofia H. Gelado, Himar Fabelo, Samuel Ortega, Laura Quintana, Adam Szolna, Juan F. Piñeiro, Francisco Balea-Fernández, Jesús Morera, Bernardino Clavo, Gustavo M. Callicó

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

2019

Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging.

Beatriz Martínez, Raquel León, Himar Fabelo, Samuel Ortega, Juan F. Piñeiro, Adam Szolna, María Hernández, Carlos Espino Palma, Aruma J. O'Shanahan, David Carrera, Sara Bisshopp, Coralia Sosa, Mariano Márquez, Rafael Camacho, Maria De La Luz Plaza, Jesús Morera, Gustavo M. Callicó

Sensors, 2019

Deep Learning-Based Framework for <i>In Vivo</i> Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain.

Himar Fabelo, Martin T. Halicek, Samuel Ortega, Maysam Shahedi, Adam Szolna, Juan F. Piñeiro, Coralia Sosa, Aruma J. O'Shanahan, Sara Bisshopp, Carlos Espino Palma, Mariano Márquez, María Hernández, David Carrera, Jesús Morera, Gustavo M. Callicó, Roberto Sarmiento, Baowei Fei

Sensors, 2019

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection.

Himar Fabelo, Samuel Ortega, Adam Szolna, Diederik Bulters, Juan F. Piñeiro, Silvester Kabwama, Aruma J. O'Shanahan, Harry Bulstrode, Sara Bisshopp, Bangalore Ravi Kiran, Daniele Ravì, Raquel Lazcano, Daniel Madroñal, Coralia Sosa, Carlos Espino Palma, Mariano Márquez, Maria De La Luz Plaza, Rafael Camacho, David Carrera, María Hernández, Gustavo M. Callicó, Jesús Morera, Bogdan Stanciulescu, Guang-Zhong Yang, Rubén Salvador, Eduardo Juárez Martínez, César Sanz, Roberto Sarmiento

IEEE Access, 2019

2018

An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation.

Himar Fabelo, Samuel Ortega, Raquel Lazcano, Daniel Madroñal, Gustavo M. Callicó, Eduardo Juárez, Rubén Salvador, Diederik Bulters, Harry Bulstrode, Adam Szolna, Juan F. Piñeiro, Coralia Sosa, Aruma J. O'Shanahan, Sara Bisshopp, María Hernández, Jesús Morera, Daniele Ravì, B. Ravi Kiran, Aurelio Vega, Abelardo Báez-Quevedo, Guang-Zhong Yang, Bogdan Stanciulescu, Roberto Sarmiento

Sensors, 2018

2016

A Novel Use of Hyperspectral Images for Human Brain Cancer Detection using in-Vivo Samples.

Himar Fabelo, Samuel Ortega, Raúl Guerra, Gustavo M. Callicó, Adam Szolna, Juan F. Piñeiro, Miguel Tejedor, Sebastián López, Roberto Sarmiento

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016