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)

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)

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)

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)

Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results. - Meritxell Riera-Marin; O. K. Sikha 001; Júlia Rodríguez-Comas; Matthias Stefan May; Zhaohong Pan; Xiang Zhou; Xiaokun Liang; Franciskus Xaverius Erick; Andrea Prenner; Cédric Hémon; Valentin Boussot; Jean-Louis Dillenseger; et al. (CoRR, 2025)