arXiv:2106.00753
공식 코드 · Papers with Code
Is good old GRAPPA dead?
원문 초록
We perform a qualitative analysis of performance of XPDNet, a state-of-the-art deep learning approach for MRI reconstruction, compared to GRAPPA, a classical approach. We do this in multiple settings, in particular testing the robustness of the XPDNet to unseen settings, and show that the XPDNet can to some degree generalize well.
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MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction
Self-supervised feature learning for cardiac Cine MR image reconstruction
Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models
Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction
PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation
MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting
토론
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