| 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 | 79 | 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 | 38 | 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 | 21 | 2023 |
| Spirit-diffusion: Self-consistency driven diffusion model for accelerated mri ZX Cui, C Cao, Y Wang, S Jia, J Cheng, X Liu, H Zheng, D Liang, Y Zhu IEEE Transactions on Medical Imaging, 2024 | 16* | 2024 |
| 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, ... Medical Physics 51 (8), 5250-5269, 2024 | 15* | 2024 |
| Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection C Cao, Z Zhong, Z Zhou, Y Liu, T Liu, B Han ICML 2024, 2024 | 12 | 2024 |
| Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion ZX Cui, C Liu, X Fan, C Cao, J Cheng, Q Zhu, Y Liu, S Jia, H Wang, Y Zhu, ... IEEE Transactions on Medical Imaging, 2024 | 7* | 2024 |
| 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 | 4* | 2024 |
| 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 | 3 | 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 | 3 | 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 | 3 | 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 | 2 | 2023 |
| 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 |
| 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 SMRM, 2022 | 2 | 2022 |
| Joint distribution modeling for accelerating T1rho reconstruction C Liu, ZX Cui, Y Liu, C Cao, Q Zhu, Y Zhu, H Wang, D Liang | 2 | |
| 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 42 (8), 2247-2261, 2023 | 1 | 2023 |
| Towards Efficient and Scalable Multi-agent Reasoning via Bayesian Nash Equilibrium X Yi, Z Zhou, C Cao, Q Niu, B Han | | |
| Noisy Test-Time Adaptation in Vision-Language Models C Cao, Z Zhong, Z Zhou, T Liu, Y Liu, K Zhang, B Han The Thirteenth International Conference on Learning Representations, 0 | | |
Zhuo-Xu CuiAssociate Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciencessiat.ac.cn의 이메일 확인됨