Recent Publications (#: co-first author, *: corresponding author)
Preprints
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. [arXiv]
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. [arXiv]
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 1.5 T-Like Image Reconstruction from 0.5 T MRI". submitted to Medical Image Analysis, revision. [arXiv]
Congcong Liu#, Zhuo-Xu Cui#, Yuanyuan Liu, Chentao Cao, Qingyong Zhu, Yanjie Zhu, Haifeng Wang, Dong Liang*. "Joint distribution modeling for accelerating T1rho reconstruction." submitted to IEEE Transactions on Medical Imaging, revision. [researchgate]
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." submitted to IEEE Transactions on Medical Imaging, revision. [arXiv]
Yuanyuan Liu#, Zhuo-Xu Cui#, Congcong Liu, Hairong Zheng, Haifeng Wang, Yihang Zhou, Yanjie Zhu*. "Score-based Diffusion Models With Self-supervised Learning For Accelerated 3D Multi-contrast Cardiac Magnetic Resonance Imaging". submitted to IEEE Transactions on Medical Imaging, revision. [arXiv]
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. [arXiv]
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. [arXiv]
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". arXiv preprint arXiv:2311.14473, 2023. [arXiv]
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". arXiv preprint arXiv:2311.14473, 2022. [arXiv]
2024
Zhuo-Xu Cui#, Qingyong Zhu#, Jing Cheng, Bo Zhang, and Dong Liang. "Deep Unfolding as Iterative Regularization for Imaging Inverse Problems." Inverse Problems, 2024. [journal]
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. [ journal] (code)
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. [arXiv] (code)
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. [ journal]
2023
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. [journal]
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. [journal] (code)
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. [journal]
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. [journal]
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. [journal]
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. [journal]
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. [journal]
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. [journal]
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. [journal]
2022
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. [journal]
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. [journal]
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. [journal]
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 Transactions on Medical Imaging, 2021, 40(11): 3140-3153. [ journal]
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. [ journal]
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. [ journal]
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. [journal]
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. [journal]
2020
Zhuo-Xu Cui, Qibin Fan*, Cui Jia. "Momentum methods for stochastic optimization over time-varying directed networks". Signal Processing, 2020, 174: 107614. [journal]
2018
Zhuo-Xu Cui, Qibin Fan*. "A “nonconvex+ nonconvex” approach for image restoration with impulse noise removal". Applied Mathematical Modelling, 2018, 62: 254-271. [journal]
2017
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. [journal]
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. [journal]
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