Zhuo-Xu Cui

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Image Reconstruction

Inverse Problems

Diffusion Models

Top Venues

IEEE Trans. Medical Imaging

Medical Image Anal.

Publications

Wenxin Wang, Zhuo-Xu Cui, Guanxun Cheng, Chentao Cao, Xi Xu, Ziwei Liu, Haifeng Wang, Yulong Qi, Dong Liang, Yanjie Zhu
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection. IEEE J. Biomed. Health Informatics 28 (6) (2024)
Chentao Cao, Zhuo-Xu Cui, Yue Wang, Shaonan Liu, Taijin Chen, Hairong Zheng, Dong Liang, Yanjie Zhu
High-Frequency Space Diffusion Model for Accelerated MRI. IEEE Trans. Medical Imaging 43 (5) (2024)
Huayu Wang, Chen Luo, Taofeng Xie, Qiyu Jin, Guoqing Chen, Zhuo-Xu Cui, Dong Liang
Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems. CoRR (2023)
Wenxin Wang, Zhuo-Xu Cui, Guanxun Cheng, Chentao Cao, Xi Xu, Ziwei Liu, Haifeng Wang, Yulong Qi, Dong Liang, Yanjie Zhu
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection. CoRR (2023)
Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Yihang Zhou, Haifeng Wang, Yanjie Zhu, Jianping Zhang, Qiegen Liu, Dong Liang
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation. CoRR (2023)
Taofeng Xie, Zhuo-Xu Cui, Chen Luo, Huayu Wang, Congcong Liu, Yuanzhi Zhang, Xuemei Wang, Yanjie Zhu, Qiyu Jin, Guoqing Chen, Yihang Zhou, Dong Liang, Haifeng Wang
Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction. CoRR (2023)
Chen Luo, Huayu Wang, Taofeng Xie, Qiyu Jin, Guoqing Chen, Zhuo-Xu Cui, Dong Liang
Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI. CoRR (2023)
Zhuo-Xu Cui, Sen Jia, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Leslie Ying, Dong Liang
Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging. IEEE Trans. Medical Imaging 42 (12) (2023)
Yuanyuan Liu, Dong Liang, Zhuo-Xu Cui, Yuxin Yang, Chentao Cao, Qingyong Zhu, Jing Cheng, Caiyun Shi, Haifeng Wang, Yanjie Zhu
Mapping Using Simultaneously Spatial Patch-Based and Parametric Group-Based Low-Rank Tensors (SMART). IEEE Trans. Medical Imaging 42 (8) (2023)
Zhuo-Xu Cui, Congcong Liu, Chentao Cao, Yuanyuan Liu, Jing Cheng, Qingyong Zhu, Yanjie Zhu, Haifeng Wang, Dong Liang
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI. CoRR (2023)
Zhuo-Xu Cui, Sen Jia, Chentao Cao, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang
K-UNN: k-space interpolation with untrained neural network. Medical Image Anal. 88 (2023)
Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI. CoRR (2023)
Yanjie Zhu, Jing Cheng, Zhuo-Xu Cui, Qingyong Zhu, Leslie Ying, Dong Liang
Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks. IEEE Signal Process. Mag. 40 (2) (2023)
Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu
High-Frequency Space Diffusion Models for Accelerated MRI. CoRR (2022)
Chentao Cao, Zhuo-Xu Cui, Qingyong Zhu, Dong Liang, Yanjie Zhu
PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging. CoRR (2022)
Zhuo-Xu Cui, Qingyong Zhu, Jing Cheng, Dong Liang
Deep unfolding as iterative regularization for imaging inverse problems. CoRR (2022)
Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu
SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging. CoRR (2022)
Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction. CoRR (2022)
Zhuo-Xu Cui, Sen Jia, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang
K-UNN: k-Space Interpolation With Untrained Neural Network. CoRR (2022)
Zhuo-Xu Cui, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Dong Liang
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI. CoRR (2021)
Ziwen Ke, Wenqi Huang, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang
Learned Low-Rank Priors in Dynamic MR Imaging. IEEE Trans. Medical Imaging 40 (12) (2021)
Jing Cheng, Zhuo-Xu Cui, Wenqi Huang, Ziwen Ke, Leslie Ying, Haifeng Wang, Yanjie Zhu, Dong Liang
Learning Data Consistency and its Application to Dynamic MR Imaging. IEEE Trans. Medical Imaging 40 (11) (2021)
Ziwen Ke, Zhuo-Xu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang
Deep Manifold Learning for Dynamic MR Imaging. IEEE Trans. Computational Imaging 7 (2021)
Zhuo-Xu Cui, Qibin Fan, Cui Jia
Momentum methods for stochastic optimization over time-varying directed networks. Signal Process. 174 (2020)
Yichuan Dong, Zhuo-Xu Cui, Yong Zhang, Shengzhong Feng
On the Non-ergodic Convergence Rate of the Directed Nonsmooth Composite Optimization. PDCAT (2020)
Zhuo-Xu Cui, Qibin Fan
A nonconvex nonsmooth regularization method for compressed sensing and low rank matrix completion. Digit. Signal Process. 62 (2017)
Zhuo-Xu Cui, Qibin Fan, Yichuan Dong, Tong Liu
A nonconvex nonsmooth regularization method with structure tensor total variation. J. Vis. Commun. Image Represent. 43 (2017)