Agent based modeling of relapsing multiple sclerosis: a possible approach to predict treatment outcome. - Francesco Pappalardo 001; Giulia Russo; Marzio Pennisi; Giuseppe Sgroi; Giuseppe Alessandro Parasiliti Palumbo; Santo Motta; Davide Maimone; Ferdinando Chiacchio (BIBM, 2018)

Longitudinal modeling of MS patient trajectories improves predictions of disability progression. - Edward De Brouwer; Thijs Becker; Yves Moreau; Eva Kubala Havrdova; Maria Trojano; Sara Eichau; Serkan Ozakbas; Marco Onofrj; Pierre Grammond; Jens Kuhle; Ludwig Kappos; Patrizia Sola; et al. (CoRR, 2020)

Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression. - Edward De Brouwer; Thijs Becker; Yves Moreau; Eva Kubala Havrdova; Maria Trojano; Sara Eichau; Serkan Ozakbas; Marco Onofrj; Pierre Grammond; Jens Kuhle; Ludwig Kappos; Patrizia Sola; et al. (Comput. Methods Programs Biomed., 2021)

Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180]. - Edward De Brouwer; Thijs Becker; Yves Moreau; Eva Kubala Havrdova; Maria Trojano; Sara Eichau; Serkan Ozakbas; Marco Onofrj; Pierre Grammond; Jens Kuhle; Ludwig Kappos; Patrizia Sola; et al. (Comput. Methods Programs Biomed., 2022)

Boosting multiple sclerosis lesion segmentation through attention mechanism. - Alessia Rondinella; Elena Crispino; Francesco Guarnera; Oliver Giudice; Alessandro Ortis; Giulia Russo; Clara Di Lorenzo; Davide Maimone; Francesco Pappalardo 001; Sebastiano Battiato (Comput. Biol. Medicine, 2023)

ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation - Methods and Results. - Alessia Rondinella; Francesco Guarnera; Elena Crispino; Giulia Russo; Clara Di Lorenzo; Davide Maimone; Francesco Pappalardo 001; Sebastiano Battiato (ICPR (34), 2024)

Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data. - Ashkan Pirmani; Edward De Brouwer; Adam Arany; Martijn Oldenhof; Antoine Passemiers; Axel Faes; Tomas Kalincik; Serkan Ozakbas; Riadh Gouider; Barbara Willekens; Dana Horáková; Eva Kubala Havrdova; et al. (npj Digit. Medicine, 2025)