P. M. Gordaliza

According to our database, P. M. Gordaliza authored at least 7 papers between 2015 and 2024.

Collaborative distances:

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

2024

Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis.

Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Adrien Depeursinge, Cristina Granziera, Henning Müller, Meritxell Bach Cuadra

CoRR, 2024

Conflunet: Improving Confluent Lesion Identification In Multiple Sclerosis With Instance Segmentation.

Maxence Wynen, Maxime Istasse, Pedro M. Gordaliza, Anna Stölting, Pietro Maggi, Benoît Macq, Meritxell Bach Cuadra

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

ABLE: Automated Brain Lines Extraction Based on Laplacian Surface Collapse.

Alberto Fernández-Pena, Daniel Martín de Blas, Francisco J. Navas-Sanchez, Luis Marcos-Vidal, Pedro M. Gordaliza, Javier Santonja, Joost Janssen, Susanna Carmona, Manuel Desco, Yasser Alemán-Gómez

Neuroinformatics, January, 2023

2022

Translational Lung Imaging Analysis Through Disentangled Representations.

Pedro M. Gordaliza, Juan José Vaquero, Arrate Muñoz-Barrutia

CoRR, 2022

2019

Tuberculosis Lesions in CT Images Inferred using 3D-CNN and Multi-Task Learning.

P. M. Gordaliza, Juan José Vaquero, Sally Sharpe, Fergus Gleeson, Arrate Muñoz-Barrutia

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Towards an informational model for tuberculosis lesion discrimination on X-ray CT images.

P. M. Gordaliza, Juan José Vaquero, Sally Sharpe, Manuel Desco, Arrate Muñoz-Barrutia

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2015

Development and validation of an open source quantification tool for DSC-MRI studies.

P. M. Gordaliza, José María Mateos-Pérez, Paula Montesinos, Juan Adan Guzmán-De-Villoria, Manuel Desco, Juan José Vaquero

Comput. Biol. Medicine, 2015