Advancing machine learning for MR image reconstruction with an open competition: Overview of the 201...
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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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 data. In order to strike a balance between realistic...
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Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
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TN_cdi_proquest_journals_2334886044
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2334886044
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2001.02518
