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https://pubmed.ncbi.nlm.nih.gov/38114575
This study presents a self-supervised deep learning method for MRI denoising that achieves competitive performance to supervised training without requiring noise-free target data, and allows adjustment of the denoising level using spatially resolved noise maps.