| High-Frequency Space Diffusion Model for Accelerated MRI C Cao, ZX Cui, Y Wang, S Liu, T Chen, H Zheng, D Liang, Y Zhu IEEE Transactions on Medical Imaging, 2024 | 28 | 2024 |
| Self-score: Self-supervised learning on score-based models for mri reconstruction ZX Cui, C Cao, S Liu, Q Zhu, J Cheng, H Wang, Y Zhu, D Liang arXiv preprint arXiv:2209.00835, 2022 | 23 | 2022 |
| K-UNN: k-space interpolation with untrained neural network ZX Cui, S Jia, C Cao, Q Zhu, C Liu, Z Qiu, Y Liu, J Cheng, H Wang, Y Zhu, ... Medical Image Analysis 88, 102877, 2023 | 13 | 2023 |
| Spirit-diffusion: Self-consistency driven diffusion model for accelerated mri ZX Cui, C Cao, J Cheng, S Jia, H Zheng, D Liang, Y Zhu arXiv preprint arXiv:2304.05060, 2023 | 10* | 2023 |
| Synthesizing pet images from high-field and ultra-high-field mr images using joint diffusion attention model T Xie, C Cao, Z Cui, Y Guo, C Wu, X Wang, Q Li, Z Hu, T Sun, Z Sang, ... arXiv preprint arXiv:2305.03901, 2023 | 8* | 2023 |
| Annihilation‐Net: Learned annihilation relation for dynamic MR imaging C Cao, ZX Cui, Q Zhu, C Liu, D Liang, Y Zhu Medical Physics 51 (3), 1883-1898, 2024 | 2* | 2024 |
| Accelerated cardiac cine MRI using spatiotemporal correlation-based hybrid plug-and-play priors (SEABUS) Q Zhu, B Liu, ZX Cui, J Cheng, C Cao, Y Liu, D Liang, Y Zhu Physics in Medicine & Biology 67 (21), 215008, 2022 | 2 | 2022 |
| Physics-informed DeepMRI: Bridging the gap from heat diffusion to k-space interpolation ZX Cui, C Liu, X Fan, C Cao, J Cheng, Q Zhu, Y Liu, S Jia, Y Zhou, ... arXiv preprint arXiv:2308.15918, 2023 | 1 | 2023 |
| Accelerated VCC-Wave MR imaging using deep generative models C Liu, Z Cui, Z Qiu, H Li, Y Guo, C Cao, X Liu, H Zheng, D Liang, H Wang ISMRM, 2022 | 1 | 2022 |
| A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection W Wang, ZX Cui, G Cheng, C Cao, X Xu, Z Liu, H Wang, Y Qi, D Liang, ... IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
| PEARL: Cascaded Self-supervised Cross-fusion Learning For Parallel MRI Acceleration Q Zhu, B Liu, ZX Cui, C Cao, X Yan, Y Liu, J Cheng, Y Zhou, Y Zhu, ... IEEE Journal of Biomedical and Health Informatics, 2023 | | 2023 |
| Accelerated submillimeter wave‐encoded magnetic resonance imaging via deep untrained neural network C Liu, ZX Cui, S Jia, J Cheng, C Cao, Y Guo, Y Zhu, D Liang, H Wang Medical Physics 50 (12), 7684-7699, 2023 | | 2023 |
| DOS: Dreaming Outlier Semantics for Out-of-distribution Detection C Cao, Z Zhong, Z Zhou, Y Liu, T Liu, B Han | | 2023 |
| Meta-Learning Enabled Score-Based Generative Model for 1.5 T-Like Image Reconstruction from 0.5 T MRI ZX Cui, C Liu, C Cao, Y Liu, J Cheng, Q Zhu, Y Zhu, H Wang, D Liang arXiv preprint arXiv:2305.02509, 2023 | | 2023 |
| Accelerating Magnetic Resonance T1ρ Mapping Using Simultaneously Spatial Patch-based and Parametric Group-based Low-rank Tensors (SMART) Y Liu, D Liang, ZX Cui, Y Yang, C Cao, Q Zhu, J Cheng, C Shi, H Wang, ... IEEE Transactions on Medical Imaging, 2023 | | 2023 |
| Joint distribution modeling for accelerating T1rho reconstruction C Liu, ZX Cui, Y Liu, C Cao, Q Zhu, Y Zhu, H Wang, D Liang | | |
Zhuo-Xu CuiAssociate Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesVerified email at siat.ac.cn
