Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction

1 code implementation • 2 Sep 2023 • Yu Guan, Chuanming Yu, Shiyu Lu, Zhuoxu Cui, Dong Liang, Qiegen Liu

In this study, leveraging a combination of the properties of k-space data and the diffusion process, our novel scheme focuses on mining the multi-frequency prior with different strategies to pre-serve fine texture details in the reconstructed image.

MRI Reconstruction TAR

Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model

no code implementations • 6 May 2023 • Taofeng Xie, Chentao Cao, Zhuoxu Cui, Yu Guo, Caiying Wu, Xuemei Wang, Qingneng Li, Zhanli Hu, Tao Sun, Ziru Sang, Yihang Zhou, Yanjie Zhu, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang

JPD of MRI and noise-added PET was learned in the diffusion process.

Vocal Bursts Intensity Prediction

Is Each Layer Non-trivial in CNN?

no code implementations • 9 Sep 2020 • Wei Wang, Yanjie Zhu, Zhuoxu Cui, Dong Liang

Convolutional neural network (CNN) models have achieved great success in many fields.

Deep Low-rank Prior in Dynamic MR Imaging

no code implementations • 22 Jun 2020 • Ziwen Ke, Wenqi Huang, Jing Cheng, Zhuoxu Cui, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang

The deep learning methods have achieved attractive performance in dynamic MR cine imaging.

Rolling Shutter Correction