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eess.IV2024
Sub-DM:Subspace Diffusion Model with Orthogonal Decomposition for MRI Reconstruction
Yu Guan, Qinrong Cai, Wei Li +3
Diffusion model-based approaches recently achieved re-markable success in MRI reconstruction, but integration into clinical routine remains challenging due to its time-consuming co…
eess.IV2024
Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model
Yu Guan, Kunlong Zhang, Qi Qi +5
Diffusion models have recently demonstrated considerable advancement in the generation and reconstruction of magnetic resonance imaging (MRI) data. These models exhibit great poten…
cs.CV2024★ 3 cited
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models
Mengxiao Geng, Jiahao Zhu, Xiaolin Zhu +3
Detail features of magnetic resonance images play a cru-cial role in accurate medical diagnosis and treatment, as they capture subtle changes that pose challenges for doc-tors when…