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)

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 (ISBI, 2018)

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 (ISBI, 2019)

Translational Lung Imaging Analysis Through Disentangled Representations. - Pedro M. Gordaliza; Juan José Vaquero; Arrate Muñoz-Barrutia (CoRR, 2022)

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, 2023)

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 (ISBI, 2024)

Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling. - Pedro M. Gordaliza; Nataliia Molchanova; Maxence Wynen; Pietro Maggi; Alessandro Cagol; Cristina Granziera; Meritxell Bach Cuadra (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 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 (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI. - Nataliia Molchanova; Pedro M. Gordaliza; Alessandro Cagol; Mario Ocampo-Pineda; Po-Jui Lu; Matthias Weigel; Xinjie Chen; Erin S. Beck; Haris Tsagkas; Daniel S. Reich; Anna Stölting; Pietro Maggi; et al. (CoRR, 2025)

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis. - Nataliia Molchanova; Alessandro Cagol; Mario Ocampo-Pineda; Po-Jui Lu; Matthias Weigel; Xinjie Chen; Erin S. Beck; Charidimos Tsagkas; Daniel S. Reich; Colin Vanden Bulcke; Anna Stölting; Serena Borrelli; et al. (CoRR, 2025)