Learned Representations: Dictionaries, Subspaces, Manifolds

Ukash Nakarmi¹
¹University of Arkansas, Fayetteville, AR, United States

Synopsis

Efficient representation is the key to reconstructing high-quality images from accelerated data acquisition in magnetic resonance imaging (MRI). In this talk, I will present the important paradigms in representation learning for accelerated MRI and how such representations can be used to solve ill-posed problems in MR image reconstruction.

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Proc. Intl. Soc. Mag. Reson. Med. 29 (2021)