- 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.