Article

A domain-agnostic MR reconstruction framework using a randomly weighted neural network

2023-03-24

Abstract excerpt

<h4>Purpose</h4> To design a randomly-weighted neural network that performs domain-agnostic MR image reconstruction from undersampled k-space data without the need for ground truth or extensive in-vivo training datasets. The network performance must be similar to the current state-of-the-art algorithms that require large training datasets. <h4>Methods</h4> We propose a Weight Agnostic randomly weighted Network m...

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Literature Corpus work: 17318bb2-314d-5cdb-b6f9-e3841a6b2285
DOI: 10.1101/2023.03.22.533764

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