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K-space Cold Diffusion: Learning to Reconstruct Accelerated MRI without Noise
In this paper, we propose a k-space cold diffusion model that performs image degradation and restoration in k-space without the need for Gaussian noise.
MRI Field-transfer Reconstruction with Limited Data: Regularization by Neural Style Transfer
This enables RNST to reconstruct a high-quality image from a noisy low-quality image with different image styles and limited data.
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