Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets. - Sebastian Otálora; Jonathan Rafael-Patino; Antoine Madrona; Elda Fischi Gomez; Veronica Ravano; Tobias Kober; Søren Christensen; Arsany Hakim; Roland Wiest; Jonas Richiardi; Richard McKinley (BrainLes@MICCAI, 2022)

Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency. - Veronica Ravano; Jean-François Démonet; Daniel Damian; Reto Meuli; Gian Franco Piredda; Till Huelnhagen; Bénédicte Maréchal; Jean-Philippe Thiran; Tobias Kober; Jonas Richiardi (MLCN@MICCAI, 2022)

Deep Learning for Ischemic Penumbra Segmentation from MR Perfusion Maps: Robustness to the Deconvolution Algorithm. - Theo Leuliet; Stefan Huwer; Bénédicte Maréchal; Veronica Ravano; Tobias Kober; Jonathan Rafael-Patino; Johannes Kaesmacher; Roland Wiest; Jonas Richiardi; Richard McKinley (BrainLes/SWITCH@MICCAI, 2023)

Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation. - Antoine Madrona; Sebastian Otálora; Elda Fischi Gomez; Veronica Ravano; Bénédicte Maréchal; Jean-Philippe Thiran; Tobias Kober; Roland Wiest; Richard McKinley; Jonas Richiardi; Jonathan Rafael-Patino (ISBI, 2023)