Zhuo-Xu Cui

According to our database, Zhuo-Xu Cui authored at least 25 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging.

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

IEEE Trans. Medical Imaging, December, 2023

K-UNN: k-space interpolation with untrained neural network.

Zhuo-Xu Cui, Sen Jia, Chentao Cao, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang

Medical Image Anal., August, 2023

Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks.

Yanjie Zhu, Jing Cheng, Zhuo-Xu Cui, Qingyong Zhu, Leslie Ying, Dong Liang

IEEE Signal Process. Mag., March, 2023

Accelerating Magnetic Resonance T_1ρ Mapping Using Simultaneously Spatial Patch-Based and Parametric Group-Based Low-Rank Tensors (SMART).

Yuanyuan Liu, Dong Liang, Zhuo-Xu Cui, Yuxin Yang, Chentao Cao, Qingyong Zhu, Jing Cheng, Caiyun Shi, Haifeng Wang, Yanjie Zhu

IEEE Trans. Medical Imaging, 2023

Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction.

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

CoRR, 2023

A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection.

Wenxin Wang, Zhuo-Xu Cui, Guanxun Cheng, Chentao Cao, Xi Xu, Ziwei Liu, Haifeng Wang, Yulong Qi, Dong Liang, Yanjie Zhu

CoRR, 2023

Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI.

Chen Luo, Huayu Wang, Taofeng Xie, Qiyu Jin, Guoqing Chen, Zhuo-Xu Cui, Dong Liang

CoRR, 2023

Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems.

Huayu Wang, Chen Luo, Taofeng Xie, Qiyu Jin, Guoqing Chen, Zhuo-Xu Cui, Dong Liang

CoRR, 2023

Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation.

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

CoRR, 2023

Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI.

Zhuo-Xu Cui, Congcong Liu, Chentao Cao, Yuanyuan Liu, Jing Cheng, Qingyong Zhu, Yanjie Zhu, Haifeng Wang, Dong Liang

CoRR, 2023

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI.

Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu

CoRR, 2023

2022

SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging.

Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu

CoRR, 2022

Deep unfolding as iterative regularization for imaging inverse problems.

Zhuo-Xu Cui, Qingyong Zhu, Jing Cheng, Dong Liang

CoRR, 2022

Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction.

Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang

CoRR, 2022

K-UNN: k-Space Interpolation With Untrained Neural Network.

Zhuo-Xu Cui, Sen Jia, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang

CoRR, 2022

High-Frequency Space Diffusion Models for Accelerated MRI.

Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu

CoRR, 2022

PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging.

Chentao Cao, Zhuo-Xu Cui, Qingyong Zhu, Dong Liang, Yanjie Zhu

CoRR, 2022

2021

Learned Low-Rank Priors in Dynamic MR Imaging.

Ziwen Ke, Wenqi Huang, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang

IEEE Trans. Medical Imaging, 2021

Learning Data Consistency and its Application to Dynamic MR Imaging.

Jing Cheng, Zhuo-Xu Cui, Wenqi Huang, Ziwen Ke, Leslie Ying, Haifeng Wang, Yanjie Zhu, Dong Liang

IEEE Trans. Medical Imaging, 2021

Deep Manifold Learning for Dynamic MR Imaging.

Ziwen Ke, Zhuo-Xu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang

IEEE Trans. Computational Imaging, 2021

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI.

Zhuo-Xu Cui, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Dong Liang

CoRR, 2021

2020

Momentum methods for stochastic optimization over time-varying directed networks.

Zhuo-Xu Cui, Qibin Fan, Cui Jia

Signal Process., 2020

On the Non-ergodic Convergence Rate of the Directed Nonsmooth Composite Optimization.

Yichuan Dong, Zhuo-Xu Cui, Yong Zhang, Shengzhong Feng

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2020

2017

A nonconvex nonsmooth regularization method with structure tensor total variation.

Zhuo-Xu Cui, Qibin Fan, Yichuan Dong, Tong Liu

J. Vis. Commun. Image Represent., 2017

A nonconvex nonsmooth regularization method for compressed sensing and low rank matrix completion.

Zhuo-Xu Cui, Qibin Fan

Digit. Signal Process., 2017