Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning: The Brain-Predicted Disease Duration Gap.
Pontillo G, Prados F, Colman J, Kanber B, Abdel-Mannan O, Al-Araji S, Bellenberg B, Bianchi A, Bisecco A, Brownlee WJ, Brunetti A, Cagol A, Calabrese M, Castellaro M, Christensen R, Cocozza S, Colato E, Collorone S, Cortese R, De Stefano N, Enzinger C, Filippi M, Foster MA, Gallo A, Gasperini C, Gonzalez-Escamilla G, Granziera C, Groppa S, Hacohen Y, Harbo HFF, He A, Hogestol EA, Kuhle J, Llufriu S, Lukas C, Martinez-Heras E, Messina S, Moccia M, Mohamud S, Nistri R, Nygaard GO, Palace J, Petracca M, Pinter D, Rocca MA, Rovira A, Ruggieri S, Sastre-Garriga J, Strijbis EM, Toosy AT, Uher T, Valsasina P, Vaneckova M, Vrenken H, Wingrove J, Yam C, Schoonheim MM, Ciccarelli O, Cole JH, Barkhof F; MAGNIMS study group..
Pontillo G, et al. Among authors: cole jh.
Neurology. 2024 Nov 26;103(10):e209976. doi: 10.1212/WNL.0000000000209976. Epub 2024 Nov 4.
Neurology. 2024.
PMID: 39496109