Pedro M. Gordaliza

According to our database, Pedro M. Gordaliza authored at least 18 papers between 2015 and 2026.

Collaborative distances:

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

2026

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge.

Asbjørn Munk, Stefano Cerri, Vardan Nersesjan, Christian Hedeager Krag, Jakob Ambsdorf, Pablo Rocamora-García, Julia Machnio, Peirong Liu, Suhyun Ahn, Nasrin Akbari, Yasmina Al Khalil, Kimberly Amador, Sina Amirrajab, Tal Arbel, Meritxell Bach Cuadra, Ujjwal Baid, Bhakti Baheti, Jaume Banus, Kamil Barbierik, Christoph Brune, Yansong Bu, Baptiste Callard, Yuhan Chen, Cornelius Crijnen, Corentin Dancette, Peter Drotár, Prasad Dutande, Nils D. Forkert, Saurabh Garg, Jakub Gazda, Matej Gazda, Benoît Gérin, Partha Ghosh, Weikang Gong, Pedro M. Gordaliza, Sam Hashemi, Tobias Heimann, Fucang Jia, Jiexin Jiang, Emily Kaczmarek, Chris Kang, Seung Kwan Kang, Mohammad Khazaei, Julien Khlaut, Petros Koutsouvelis, Jae Sung Lee, Yuchong Li, Mengye Lyu, Mingchen Ma, Anant Madabhushi, Klaus H. Maier-Hein, Pierre Manceron, Andrés Martínez Mora, Moona Mazher, Felix Meister, Nataliia Molchanova, Steven A. Niederer, Leonard Nürnberg, Jinah Park, Abdul Qayyum, Jonas Richiardi, Antoine Saporta, Branislav Setlák, Ning Shen, Justin Szeto, Constantin Ulrich, Puru Vaish, Vibujithan Vigneshwaran, Leroy Volmer, Zihao Wang, Siqi Wei, Anthony J. Winder, Jelmer M. Wolterink, Maxence Wynen, Chang Yang, Si Young Yie, Mostafa Mehdipour-Ghazi, Akshay Pai, Espen Jimenez-Solem, Sebastian Nørgaard Llambias, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen

CoRR, April, 2026

From 100,000+ images to winning the first brain MRI foundation model challenges: Sharing lessons and models.

Pedro M. Gordaliza, Jaume Banus, Benoît Gérin, Maxence Wynen, Nataliia Molchanova, Jonas Richiardi, Meritxell Bach Cuadra

CoRR, January, 2026

2025

Causal Attribution of Model Performance Gaps in Medical Imaging Under Distribution Shifts.

Pedro M. Gordaliza, Nataliia Molchanova, Jaume Banus, Thomas Sanchez, Meritxell Bach Cuadra

CoRR, December, 2025

Accounting for Underspecification in Statistical Claims of Model Superiority.

Thomas Sanchez, Pedro M. Gordaliza, Meritxell Bach Cuadra

CoRR, November, 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, Pietro Maggi, Adrien Depeursinge, Cristina Granziera, Henning Müller, Pedro M. Gordaliza, Meritxell Bach Cuadra

CoRR, July, 2025

Benchmarking deep learning cortical lesion segmentation in Multiple Sclerosis MRI.

Natalia 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, Pietro Maggi, Adrien Depeursinge, Cristina Granziera, Henning Müller, Pedro M. Gordaliza, Meritxell Bach Cuadra

Dataset, July, 2025

Medical-Image-Analysis-Laboratory/Bench-Explain_DL_Cortical-Lesions: v1.0.1 - Initial Release.

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, Pietro Maggi, Adrien Depeursinge, Cristina Granziera, Henning Müller, Pedro M. Gordaliza, Meritxell Bach Cuadra

Dataset, July, 2025

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, Delphine Ribes, Adrien Depeursinge, Cristina Granziera, Henning Müller, Meritxell Bach Cuadra

CoRR, April, 2025

ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions.

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

Comput. Biol. Medicine, 2025

NIMOSEF: Neural Implicit Motion and Segmentation Functions.

Jaume Banus, Antoine Delaloye, Pedro M. Gordaliza, Costa Georgantas, Ruud B. van Heeswijk, Jonas Richiardi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 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.

Pedro 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.

Pedro 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.

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

Comput. Biol. Medicine, 2015