| 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 | 24 | 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 | 14 | 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 | 12* | 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 | 9* | 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 | 8 | 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 | 8 | 2021 |
| Deep unfolding as iterative regularization for imaging inverse problems Z Cui, Q Zhu, J Cheng, B Zhang, D Liang Inverse Problems, 2024 | 4 | 2024 |
| Robust MR image super‐resolution reconstruction with cross‐modal edge‐preserving regularization Q Zhu, Y Ren, Z Qiu, W Wang International Journal of Imaging Systems and Technology 29 (4), 491-500, 2019 | 4 | 2019 |
| 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 |
| Annihilation‐Net: Learned annihilation relation for dynamic MR imaging C Cao, ZX Cui, Q Zhu, C Liu, D Liang, Y Zhu Medical Physics, 2023 | 2* | 2023 |
| Improving multi-contrast imaging with reference guided location and orientation priors on edges Q Zhu, W Wang Applied Magnetic Resonance 50, 137-158, 2019 | 2 | 2019 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Boosting of half-quadratic splitting algorithm for undersampled brain MRI reconstruction Q Zhu, J Cheng, ZX Cui, Y Liu, Y Zhu, D Liang ISMRM 2022, 2022 | | 2022 |
| Denoising induced iterative reconstruction for fast T1rho parameter mapping Q Zhu, Y Liu, ZX Cui, Z Ke, D Liang ISMRM 2021, 2021 | | 2021 |
| Deep generalization of signal compensation for fast parameter mapping in k-space ZX Cui, Y Liu, Q Zhu, J Cheng, D Liang ISMRM 2021, 2021 | | 2021 |
Dong LiangProfessor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences在 siat.ac.cn 的电子邮件经过验证
Dong LiangProfessor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences在 siat.ac.cn 的电子邮件经过验证