PERCEPT-Net uses motion perceptual loss in a residual U-Net with attention and multi-scale modules to remove MRI motion artifacts more effectively than prior methods on clinical data.
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Removing Motion Artifact in MRI by Using a Perceptual Loss Driven Deep Learning Framework
PERCEPT-Net uses motion perceptual loss in a residual U-Net with attention and multi-scale modules to remove MRI motion artifacts more effectively than prior methods on clinical data.