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Magnetic Resonance Imaging (MRI) is a noninvasive diagnostic tool that provides excellent soft-tissue contrast. Image reconstruction from subsampled k-space data has been playing an essential role in fast MRI. We will talk about three methods for MRI reconstruction, including a variational method via non-convex weighted smoothly clipped absolute deviation prior and two iterative methods with deep CNN priors. Some experimental results are given to show the effectiveness of the proposed methods.

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