基本信息

崔卓须  男   硕导

中国科学院深圳先进技术研究院 副研究员

中国科学院特聘研究岗位

深圳市“鹏城孔雀计划”特聘岗位

电子邮件: zx.cui@siat.ac.cn

通信地址: 广东省深圳市学苑大道1068号

邮政编码: 518055

研究领域

计算磁共振成像

生成式人工智能

计算反问题

教育背景

2017-09--2020-06   武汉大学   博士
2014-09--2017-06   武汉大学   硕士
2010-09--2014-06   福建理工大学   本科

奖励

荣誉奖励

  1. National Research and Development Agency (ANID), CHILE,  "External Reviewer", 2024

  2. IEEE Transactions on Medical Imaging "Distinguished Reviewer",2023-2024

  3. 深圳市“鹏城孔雀计划”特聘岗位,2023-2025

  4. 中国科学院特聘研究岗位 (特别研究助理), 2023-2024

  5. 深圳市优秀科技论文奖,2022



出版信息

  1. Zhuo-Xu Cui#, Chentao Cao#, Yue Wang#, Sen Jia, Jing Cheng, Xin Liu, Hairong Zheng, Dong Liang, Yanjie Zhu. "SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI." IEEE Transactions on Medical Imaging, 2024.

  2. Zhuo-Xu Cui#, Congcong Liu#, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Haifeng Wang, Yanjie Zhu, Yihang Zhou*, Jianping Zhang, Qiegen Liu, Dong Liang*. "Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion." IEEE Transactions on Medical Imaging, 2024.

  3. Ye Liu#, Zhuo-Xu Cui#, Kaicong Sun, Ting Zhao, Jing Cheng, Yuliang Zhu, Dinggang Shen*, Dong Liang*. "kt Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging." International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2024: 414-424.

  4. Yuliang Zhu, Jing Cheng, Zhuo-Xu Cui, Jianfeng Ren, Chengbo Wang, Dong Liang. ​"SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging." International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer Nature Switzerland, 2024: 679-689.

  5. Zhuo-Xu Cui#, Qingyong Zhu#, Jing Cheng, Bo Zhang, and Dong Liang*. "Deep Unfolding as Iterative Regularization for Imaging Inverse Problems." Inverse Problems, 2024

  6. 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. 

  7. 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 Journal of Biomedical and Health Informatics, 2024.

  8. Yu Guan, Chuanming Yu, Shiyu Lu, Zhuo-Xu Cui, Dong Liang, Qiegen Liu*. "Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction." IEEE Transactions on Medical Imaging, 2024.

  9. Qingyong Zhu, Bei Liu, Zhuo-Xu Cui, Chentao Cao, Xiaomeng Yan, Yuanyuan Liu, Jing Cheng, Yihang Zhou, Yanjie Zhu, Haifeng Wang, Hongwu Zeng and Dong Liang*. "PEARL: Cascaded Self-supervised Cross-fusion Learning For Parallel MRI Acceleration." IEEE Journal of Biomedical and Health Informatics, 2024.

  10. 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.

  11. 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. 

  12. 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.

  13. Congcong Liu#, Zhuo-Xu Cui#, Sen Jia, Jing Cheng, Chentao Cao, Yifan Guo, Yanjie Zhu, Dong Liang, Haifeng Wang*. "Accelerated submillimeter wave‐encoded magnetic resonance imaging via deep untrained neural network." Medical Physics, 2023, 50(12): 7684-7699. 

  14. Chentao Cao, Zhuo-Xu Cui#, Qingyong Zhu, Congcong Liu, Dong Liang, Yanjie Zhu*. "Annihilation‐Net: Learned annihilation relation for dynamic MR imaging." Medical Physics, 2023. 

  15. Yuanyuan Liu, Dong Liang, Zhuo-Xu Cui, Yuxin Yang, Chentao Cao, Qingyong Zhu, Jing Cheng, Caiyun Shi, Haifeng Wang, Yanjie Zhu*. "Accelerating Magnetic Resonance T1rho Mapping Using Simultaneously Spatial Patch-based and Parametric Group-based Low-rank Tensors (SMART)." IEEE Transactions on Medical Imaging, 2023 42(28): 2247-2261.

  16. Qingyong Zhu, Zhuo-Xu Cui, Yuanyuan Liu, Jing Cheng, Kankan Zhao, Haifeng Wang, Yanjie Zhu, Dong Liang*. "Characteristic‐constrained accelerating MR T1rho mapping with blockwise infimal convolution of matrix elastic‐net regularization." Medical Physics, 2023, 50(4): 7684-7699.

  17. Wei Xu, Sen Jia, Zhuo-Xu Cui, Qingyong Zhu, Xin Liu, Dong Liang, Jing Cheng*. "Joint Image Reconstruction and Super-Resolution for Accelerated Magnetic Resonance Imaging." Bioengineering, 2023, 10(9): 1107.

  18. Xi Xu, Junpu Hu, Yijia Zheng, Yuanyuan Liu, Zhuo-Xu Cui, Dong Liang, Yanjie Zhu*. "Slice‐specific tracking for free‐breathing diffusion tensor cardiac MRI." NMR in Biomedicine, 2023, 36(8): e4922.

  19. Ting Su, Zhuo-Xu Cui, Jiecheng Yang, Yunxin Zhang, Jian Liu, Jiongtao Zhu, Xiang Gao, Shibo Fang, Hairong Zheng, Yongshuai Ge, Dong Liang*. "Generalized deep iterative reconstruction for sparse-view CT imaging." Physics in Medicine & Biology, 2022, 67(2): 025005. 

  20. Qingyong Zhu, Bei Liu, Zhuo-Xu Cui, Jing Cheng, Chentao Cao, Yuanyuan Liu, Dong Liang, Yanjie Zhu*. "Accelerated cardiac cine MRI using spatiotemporal correlation-based hybrid plug-and-play priors (SEABUS)." Physics in Medicine & Biology, 2022, 67(21): 215008. 

  21. Congcong Liu, Yihang Zhou, Caiyun Shi, Zhuo-Xu Cui, Yuanyuan Liu, Yifan Guo, Kangjian Huang, Chao Zou, Yanjie Zhu, Xin Liu, Ye Li, Hairong Zheng, Dong Liang, Haifeng Wang*. "Design and Implementation of Low-Cost Distributed Tabletop Magnetic Particle Imaging System." IEEE Transactions on Magnetics, 2022, 58(7): 1-15.

  22. 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 Transactions on Medical Imaging, 2021, 40(11): 3140-3153.

  23. 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 Transactions on Computational Imaging, 2021, 7: 1314-1327.

  24. 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 Transactions on Medical Imaging, 2021, 40(12): 3698-3710. 

  25. Wenqi Huang, Ziwen Ke, Zhuo-Xu Cui, Jing Cheng, Zhilang Qiu, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang*. "Deep low-rank plus sparse network for dynamic MR imaging." Medical Image Analysis, 2021, 73: 102190.

  26. Yuanyuan Liu, Leslie Ying, Weitian Chen, Zhuo-Xu Cui, Qingyong Zhu, Xin Liu, Hairong Zheng, Dong Liang, Yanjie Zhu*. "Accelerating the 3D T1rho mapping of cartilage using a signal-compensated robust tensor principal component analysis model." Quantitative Imaging in Medicine and Surgery, 2021, 11(8): 3376. 

  27. Zhuo-Xu Cui, Qibin Fan*, Cui Jia. "Momentum methods for stochastic optimization over time-varying directed networks". Signal Processing, 2020, 174: 107614.

  28. Zhuo-Xu Cui, Qibin Fan*. "A “nonconvex+ nonconvex” approach for image restoration with impulse noise removal". Applied Mathematical Modelling, 2018, 62: 254-271. 

  29. Zhuo-Xu Cui, Qibin Fan*. "A nonconvex nonsmooth regularization method for compressed sensing and low rank matrix completion". Digital signal processing, 2017, 62: 101-111.

  30. Zhuo-Xu Cui, Qibin Fan*, Yichuan Dong, Tong Liu. "A nonconvex nonsmooth regularization method with structure tensor total variation". Journal of Visual Communication and Image Representation, 2017, 43: 30-40.

注:#共同第一作者;*通讯作者

科研活动

科研项目

  1. 国家自然科学基金, 面上项目,  磁共振物理神经性方程建模的动态定量成像方法, 2025-2028, 主持, 在研.
  2. ​深圳市自然科学基金,面上项目,物理信息驱动的磁共振成像扩散模型,2024-2027,主持,在研.
  3. 中国科学院, 战略性先导科技专项, 脑际通讯的读取与解码关键技术, 2024-2029, 科研骨干, 在研.
  4. 中国科学院, 中国科学院稳定支持基础研究领域青年团队计划,  无创神经调控靶向治疗脑疾病的技术研发, 2024-2028, 参与, 在研.
  5. 国家自然科学基金, 重点项目, 耦合运动与不变性先验的消化道动态高分辨磁共振成像方法及应用, 2024-2027, 参与, 在研.
  6. 国家自然科学基金, 青年科学基金项目, 零空间对抗正则化磁共振成像, 2023-2025, 主持, 在研.
  7. 中国科学院, 特别研究助理项目, 无, 2023-2024, 主持, 在研.
  8. 博士后留深科研资助项目, 无, 2023-2025, 主持, 在研.
  9. 国家自然科学基金, 数学天元基金项目, 基于生成模型的部位自适应快速磁共振成像方法及应用, 2023-2024, 参与, 在研.
  10. 科技部, 国家重点研发计划子课题, 全栈式部位自适应磁共振超快成像方法与系统, 2023-2027, 科研骨干, 在研.
  11. 国家自然科学基金, 面上项目, 面向癫痫儿童病灶诊断的磁共振快速多对比度成像, 2023-2026, 参与, 在研.
  12. 中国科学院深圳先进技术研究院, 优秀青年创新基金, 无训练神经网络在快速磁共振成像中的应用与理论分析, 2022-2023,  主持, 在研.
  13. 科技部, 国家重点研发计划子课题, 基于学习模型的快速成像方法与应用研究, 2022-2026, 科研骨干, 在研.
  14. 深圳市自然科学基金(基础研究专项), 重点项目, 低剂量CT成像关键技术及术中图像融合算法研究, 2022-2025, 参与, 在研.
  15. 中国博士后科学基, 金面上项目, 低维流形上学习迭代重建动态磁共振图像研究, 2020-2022, 主持, 已结题.


参与会议

  1. 数学图像联盟2024年度学术会议(UMI 2024), Apr. 12-14, 2024, Jinhua, China
  2. International Workshop on Mathematics of Imaging and AI: Theories and Algorithms, Dec. 15-17, 2023, Xiangtan, China.
  3. 中国工业与应用数学学会第二十一届年会(CSIAM 2023), Oct. 12-15, 2023, Kunming, China
  4. 中国体视学学会智能成像分会第一届有方青年学术论坛, May 30, 2023, online
  5. 第十二届全国反问题、成像及其应用年会, May 27-28, 2023, Shenzhen, China
  6. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, May 07-12, 2022, London, UK



指导学生

现指导学生

杜孟哲  硕士研究生  085409-生物医学工程  

客座学生

  1. 骆琛 博士研究生 应用数学

  2. 苏奕霖 硕士研究生 生物医学工程