77 citations · 183 across the 18 of their papers we have counts for
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eess.IV2023★ 1 cited
Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction
Kai Xu, Shiyu Lu, Bin Huang +2
Diffusion models have emerged as potential tools to tackle the challenge of sparse-view CT reconstruction, displaying superior performance compared to conventional methods. Neverth…
cs.CV2023★ 2 cited
Data-iterative Optimization Score Model for Stable Ultra-Sparse-View CT Reconstruction
Weiwen Wu, Yanyang Wang
Score-based generative models (SGMs) have gained prominence in sparse-view CT reconstruction for their precise sampling of complex distributions. In SGM-based reconstruction, data…
eess.IV2023★ 17 cited
Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse Problems
Zirong Li, Yanyang Wang, Jianjia Zhang +2
Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are crucial technologies in the field of medical imaging. Score-based models have proven to be effective in addressing…