i-RIM applied to the fastMRI challenge

Published: 01 Jan 2019, Last Modified: 22 Jan 2025CoRR 2019EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: We, team AImsterdam, summarize our submission to the fastMRI challenge (Zbontar et al., 2018). Our approach builds on recent advances in invertible learning to infer models as presented in Putzky and Welling (2019). Both, our single-coil and our multi-coil model share the same basic architecture.
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