CycleGAN models show consistent brain MRI synthesis across datasets supporting downstream tissue characterization in multiple sclerosis

BackgroundSecondary quantitative analysis of brain magnetic resonance imaging (MRI) can provide valuable information for many neurological diseases, including multiple sclerosis (MS), but it demands complete datasets that are often unavailable clinically. We investigated how image synthesis via deep...

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Detalhes bibliográficos

Principais autores:	Shayan Shahrokhi, Olayinka Oladosu, Rehman Tariq, Yunyan Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-03-01
coleção:	Frontiers in Neuroinformatics
Assuntos:	brain MRI CycleGAN image synthesis multiple sclerosis Pix2Pix spectral normalization
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fninf.2026.1762794/full
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