Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues. - Francesco La Rosa; Maxence Wynen; Omar Al-Louzi; Erin S. Beck; Till Huelnhagen; Pietro Maggi; Jean-Philippe Thiran; Tobias Kober; Russell T. Shinohara; Pascal Sati; Daniel S. Reich; Cristina Granziera; et al. (CoRR, 2022)

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 (ISBI, 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 (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

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; et al. (CoRR, 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; et al. (CoRR, 2025)