| 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 |
| 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 | 24* | 2023 |
| Equilibrated zeroth-order unrolled deep network for parallel MR imaging ZX Cui, S Jia, J Cheng, Q Zhu, Y Liu, K Zhao, Z Ke, W Huang, H Wang, ... IEEE Transactions on Medical Imaging, 2023 | 17* | 2023 |
| Incorporating reference guided priors into calibrationless parallel imaging reconstruction Q Zhu, W Wang, J Cheng, X Peng Magnetic Resonance Imaging 57, 347-358, 2019 | 16* | 2019 |
| Physics-driven deep learning methods for fast quantitative magnetic resonance imaging: Performance improvements through integration with deep neural networks Y Zhu, J Cheng, ZX Cui, Q Zhu, L Ying, D Liang IEEE Signal Processing Magazine 40 (2), 116-128, 2023 | 11 | 2023 |
| Accelerating the 3D T1ρ mapping of cartilage using a signal-compensated robust tensor principal component analysis model Y Liu, L Ying, W Chen, ZX Cui, Q Zhu, X Liu, H Zheng, D Liang, Y Zhu Quantitative Imaging in Medicine and Surgery 11 (8), 3376, 2021 | 10 | 2021 |
| 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 |
| Deep unfolding as iterative regularization for imaging inverse problems Z Cui*, Q Zhu*, J Cheng, B Zhang, D Liang Inverse Problems, 2024 | 6 | 2024 |
| Machine learning in hypertrophic cardiomyopathy: nonlinear model from clinical and CMR features predicting cardiovascular events K Zhao, Y Zhu, X Chen, S Yang, W Yan, K Yang, Y Song, C Cui, X Xu, ... Cardiovascular Imaging 17 (8), 880-893, 2024 | 4 | 2024 |
| Annihilation‐Net: Learned annihilation relation for dynamic MR imaging C Cao, ZX Cui, Q Zhu, C Liu, D Liang, Y Zhu Medical Physics, 2023 | 4* | 2023 |
| Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T 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 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 | 3* | 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 | 2022 |
| MR Optimized Reconstruction of Simultaneous Multi-Slice Imaging Using Diffusion Model T Zhao, Z Cui, S Jia, Q Zhu, C Liu, Y Zhou, Y Zhu, D Liang, H Wang arXiv preprint arXiv:2408.08883, 2024 | 1 | 2024 |
| Characteristic‐constrained accelerating MR T1rho mapping with blockwise infimal convolution of matrix elastic‐net regularization Q Zhu, ZX Cui, Y Liu, J Cheng, K Zhao, H Wang, Y Zhu, D Liang Medical Physics 50 (4), 2224-2238, 2023 | 1 | 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 42 (8), 2247-2261, 2023 | 1 | 2023 |
| Weak submodularity implies localizability: Local search for constrained non-submodular function maximization M Shi*, Q Zhu*, B Liu, Y Li Discrete Mathematics 348 (2), 114287, 2025 | | 2025 |
| Noise-Generating Mechanism Driven Implicit Diffusion Prior for Low-Dose CT Sinogram Recovery X Li, Y Yang**, Q Zhu**, J Ma, H Zheng, Z Xu IEEE Transactions on Radiation and Plasma Medical Sciences, 2024 | | 2024 |
| LINEAR: Learning Implicit Neural Representation With Explicit Physical Priors for Accelerated Quantitative T1rho Mapping Y Liu, J Xie, ZX Cui, Q Zhu, J Cheng, D Liang, Y Zhu arXiv preprint arXiv:2407.05617, 2024 | | 2024 |
| Integrating data distribution prior via Langevin dynamics for end‐to‐end MR reconstruction J Cheng, ZX Cui, Q Zhu, H Wang, Y Zhu, D Liang Magnetic Resonance in Medicine 92 (1), 202-214, 2024 | | 2024 |
Zhuo-Xu CuiAssociate Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα siat.ac.cn
