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Unpaired MRI Super Resolution with Contrastive Learning
To this end, we propose an unpaired MRI SR approach that employs contrastive learning to enhance SR performance with limited HR training data.
Implicit Neural Representation for MRI Parallel Imaging Reconstruction
Our approach represents reconstructed fully-sampled images as functions of voxel coordinates and prior feature vectors from undersampled images, addressing the generalization challenges of INR.
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