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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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