Preprint
Jul 2026
High-dimensional Embedding Prior for Noisy K-space Domain MRIReconstruction
It is suggested that high-dimensional representation provides a general and model-agnostic mechanism for improving diffusion-based MRI reconstruction in noisy settings, offering a new perspective on robust k-space generative modeling for practical inverse problems.
Yu Guan, Tianjian Huang, Qinrong Cai et al.
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