Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
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DOI: 10.1109/tmi.2022.3147426
Abstract: Supervised reconstruction models are characteristically trained on matched pairs of undersampled and fully-sampled data to capture an MRI prior, along with supervision regarding the imaging operator to enforce data consistency. To reduce supervision requirements, the… read more here.
Keywords: reconstruction; mri reconstruction; zero shot; unsupervised mri ... See more keywords