Tianjian Huang

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.