Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

PURPOSE: To advance research in the field of machine learning for MR image reconstruction with an open challenge. METHODS: We provided participants with a dataset of raw k-space data from 1,594 consecutive clinical exams of the knee. The goal of the challenge was to reconstruct images from these dat...

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Detalhes bibliográficos
Publicado no:Magn Reson Med
Main Authors: Knoll, Florian, Murrell, Tullie, Sriram, Anuroop, Yakubova, Nafissa, Zbontar, Jure, Rabbat, Michael, Defazio, Aaron, Muckley, Matthew J., Sodickson, Daniel K., Zitnick, C. Lawrence, Recht, Michael P.
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7719611/
https://ncbi.nlm.nih.gov/pubmed/32506658
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.28338
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