Zhuo-Xu Cui
Scholar

Zhuo-Xu Cui

Google Scholar ID: QZx0xdgAAAAJ
Associate Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
MRIInverse ProblemsDeep LearningGenerative Models
Citations & Impact
All-time
Citations
806
 
H-index
15
 
i10-index
20
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, and Yanjie Zhu. "High-Frequency Space Diffusion Models for Accelerated MRI." IEEE Transactions on Medical Imaging, 2024.
  • - Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, and Dong Liang, Yanjie Zhu. "SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI". submitted to IEEE Transactions on Medical Imaging, revision.
  • - Zhuo-Xu Cui, Sen Jia, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, and Dong Liang. "K-UNN: k-space interpolation with untrained neural network." Medical Image Analysis, 2023, 88: 102877.
  • - 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 Processing Magazine, 2023 40(2): 116-128.
  • - 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." submitted to IEEE Transactions on Medical Imaging, revision.
  • - Zhuo-Xu Cui, Qingyong Zhu, Jing Cheng, Bo Zhang, and Dong Liang. "Deep Unfolding as Iterative Regularization for Imaging Inverse Problems." Inverse Problems, 2024.
  • - Zhuo-Xu Cui, Sen Jia, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, and Dong Liang. "Equilibrated zeroth-order unrolled deep network for parallel mr imaging". IEEE Transactions on Medical Imaging, 2023, 24(12): 3540-3554.
  • - Huayu Wang, Chen Luo, Taofeng Xie, Qiyu Jin, Guoqing Chen, Zhuo-Xu Cui, Dong Liang. "Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems". arXiv preprint arXiv:2309.09250, 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". arXiv preprint arXiv:2309.13571, 2023.
Research Experience
  • - Research Projects:
  • - Fundamental Model-Assisted Image Reconstruction (In Progress)
  • - "White-Box" Transformer for MRI (In Progress)
  • - Ultra-High-Field MRI (In Progress)
  • - Model Driven Diffusion
  • - Physics-Informed DeepMRI
  • - Learnable Regularization
  • - Low-field MRI
Background
  • - Research Interests: Computational MRI, Inverse Problems, Deep Learning
  • - Position: Associate Professor
  • - Field: Applied Mathematics