Júlia Rodríguez-Comas

According to our database, Júlia Rodríguez-Comas authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Multi-Rater Calibrated Segmentation Models.

Meritxell Riera-Marin, Javier García López, Júlia Rodríguez-Comas, Miguel Ángel González Ballester, Adrian Galdran

CoRR, May, 2026

Assessing Pancreatic Ductal Adenocarcinoma Vascular Invasion: the PDACVI Benchmark.

Meritxell Riera-Marin, O. K. Sikha, Júlia Rodríguez-Comas, Matthias S. May, Tristan Kirscher, Xavier Coubez, Philippe Meyer, Sylvain Faisan, Zhaohong Pan, Xiang Zhou, X. Liang, Cédric Hémon, Valentin Boussot, Jean-Louis Dillenseger, Jean-Claude Nunes, Kim-Celine Kahl, Carsten T. Lüth, Jeremias Traub, Pierre-Henri Conze, Maria Montserrat Duh, Anton Aubanell, Ruben de Figueiredo Cardoso, Saskia Egger-Hackenschmidt, Javier García López, Miguel Ángel González Ballester, Adrian Galdran

CoRR, April, 2026

2025

CURVAS-PDACVI dataset.

Meritxell Riera-Marin, O. K. Sikha, Maria Montserrat Duh, Anton Aubanell, Ruben de Figueiredo Cardoso, Saskia Egger-Hackenschmidt, Matthias Stefan May, Sandra Bernaus, Júlia Rodríguez-Comas, Miguel Ángel González Ballester, Javier García López

Dataset, November, 2025

CURVAS-PDACVI dataset.

Meritxell Riera-Marin, O. K. Sikha, Maria Montserrat Duh, Anton Aubanell, Ruben de Figueiredo Cardoso, Saskia Egger-Hackenschmidt, Júlia Rodríguez-Comas, Miguel Ángel González Ballester, Javier García López

Dataset, June, 2025

CURVAS-PDACVI dataset.

Meritxell Riera-Marin, O. K. Sikha, Maria Montserrat Duh, Anton Aubanell, Ruben de Figueiredo Cardoso, Saskia Egger-Hackenschmidt, Matthias May, Sandra Bernaus, Júlia Rodríguez-Comas, Miguel Ángel González Ballester, Javier García López

Dataset, June, 2025

CURVAS-PDACVI dataset.

Meritxell Riera-Marin, O. K. Sikha, Maria Montserrat Duh, Anton Aubanell, Ruben de Figueiredo Cardoso, Saskia Egger-Hackenschmidt, Júlia Rodríguez-Comas, Miguel Ángel González Ballester, Javier García López

Dataset, May, 2025

Machine Learning-Driven Radiomics Analysis for Distinguishing Mucinous and Non-Mucinous Pancreatic Cystic Lesions: A Multicentric Study.

Neus Torra-Ferrer, Maria Montserrat Duh, Queralt Grau-Ortega, Daniel Cañadas-Gómez, Juan Moreno-Vedia, Meritxell Riera-Marin, Melanie Aliaga-Lavrijsen, Mateu Serra-Prat, Javier García López, Miguel Ángel González Ballester, Maria Teresa Fernández-Planas, Júlia Rodríguez-Comas

J. Imaging, 2025

Uncertainty-aware segmentation quality prediction via deep learning Bayesian Modeling: Comprehensive evaluation and interpretation on skin cancer and liver segmentation.

O. K. Sikha, Meritxell Riera-Marin, Adrian Galdran, Javier García López, Júlia Rodríguez-Comas, Gemma Piella, Miguel Ángel González Ballester

Comput. Medical Imaging Graph., 2025

Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results.

Meritxell Riera-Marin, O. K. Sikha, Júlia Rodríguez-Comas, Matthias Stefan May, Zhaohong Pan, Xiang Zhou, Xiaokun Liang, Franciskus Xaverius Erick, Andrea Prenner, Cédric Hémon, Valentin Boussot, Jean-Louis Dillenseger, Jean-Claude Nunes, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Kaisar Kushibar, Carlos Martín-Isla, Petia Radeva, Karim Lekadir, Theodore Barfoot, Luis C. García-Peraza-Herrera, Ben Glocker, Tom Vercauteren, Lucas Gago, Justin Englemann, Joy-Marie Kleiss, Anton Aubanell, Andreu Antolin, Javier García López, Miguel Ángel González Ballester, Adrian Galdran

Comput. Biol. Medicine, 2025

Multi-Rater Calibration Error Estimation.

Meritxell Riera-Marin, Javier García López, Júlia Rodríguez-Comas, Miguel Ángel González Ballester, Adrian Galdran

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2025

2024

Uncertainty Aware Segmentation Quality Assessment in Medical Images.

O. K. Sikha, Adrian Galdran, Meritxell Riera-Marin, Javier García, Júlia Rodríguez-Comas, Gemma Piella, Miguel Ángel González Ballester

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2022

Artificial intelligence for the detection of pancreatic lesions.

Julia Arribas Anta, Iván Martínez-Ballestero, Daniel Eiroa, Javier García, Júlia Rodríguez-Comas

Int. J. Comput. Assist. Radiol. Surg., 2022