Anton Aubanell

According to our database, Anton Aubanell authored at least 10 papers between 2020 and 2026.

Collaborative distances:

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

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

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

2021

Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks.

Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester

Medical Image Anal., 2021

An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth.

Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa, Vicent J. Ribas, Gemma Piella, Miguel Ángel González Ballester

CoRR, 2021

Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans.

Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa, Vicent J. Ribas, Gemma Piella, Miguel Ángel González Ballester

CoRR, 2021

2020

Pulmonary Nodule Malignancy Classification Using its Temporal Evolution with Two-Stream 3D Convolutional Neural Networks.

Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester

CoRR, 2020