Uncertainty-Aware and Lesion-Specific Image Synthesis in Multiple Sclerosis Magnetic Resonance Imaging: A Multicentric Validation Study

Generative adversarial networks (GANs) can synthesize high-contrast MRI from lower-contrast input. Targeted translation of parenchymal lesions in multiple sclerosis (MS), as well as visualization of model confidence further augment their utility, provided that the GAN generalizes reliably across dif...

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Detalles Bibliográficos
Autores principales: Finck, Tom, Li, Hongwei, Schlaeger, Sarah, Grundl, Lioba, Sollmann, Nico, Bender, Benjamin, Bürkle, Eva, Zimmer, Claus, Kirschke, Jan, Menze, Björn, Mühlau, Mark, Wiestler, Benedikt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087732/
https://www.ncbi.nlm.nih.gov/pubmed/35557607
http://dx.doi.org/10.3389/fnins.2022.889808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087732/
https://www.ncbi.nlm.nih.gov/pubmed/35557607
http://dx.doi.org/10.3389/fnins.2022.889808

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