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eess.IV2024
LDPM: Towards undersampled MRI reconstruction with MR-VAE and Latent Diffusion Prior
Xingjian Tang, Jingwei Guan, Linge Li +4
Diffusion models, as powerful generative models, have found a wide range of applications and shown great potential in solving image reconstruction problems. Some works attempted to…
eess.IV2024★ 1 cited
Robust Simultaneous Multislice MRI Reconstruction Using Slice-Wise Learned Generative Diffusion Priors
Shoujin Huang, Guanxiong Luo, Yunlin Zhao +8
Simultaneous multislice (SMS) imaging is a powerful technique for accelerating magnetic resonance imaging (MRI) acquisitions. However, SMS reconstruction remains challenging due to…
eess.IV2024★ 4 cited
Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI
Shoujin Huang, Guanxiong Luo, Xi Wang +6
In general, diffusion model-based MRI reconstruction methods incrementally remove artificially added noise while imposing data consistency to reconstruct the underlying images. How…