Noise2Recon: Enabling SNR‐robust MRI reconstruction with semi‐supervised and self‐supervised learning
Magnetic Resonance in Medicine2023Vol. 90(5), pp. 2052–2070
Citations Over TimeTop 10% of 2023 papers
Arjun Desai, Batu Ozturkler, Christopher M. Sandino, Robert D. Boutin, Marc H. Willis, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay Chaudhari
Abstract
Noise2Recon is a label-efficient reconstruction method that is robust to distribution shifts, such as changes in SNR, acceleration factors, and others, with limited or no fully sampled training data.
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