Toward safe deployment of deep learning in MRI: A physics-driven uncertainty framework for automated quality control and risk Tiering in virtual fat suppression
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Purpose: Deep generative models in MRI are hindered by "hallucinations" and a lack of safety mechanisms. This study introduces a physics-driven framework for trustworthy Virtual Fat Suppression (VFS), enabling automated quality... ...
