| DIMENSION: dynamic MR imaging with both k‐space and spatial prior knowledge obtained via multi‐supervised network training S Wang, Z Ke, H Cheng, S Jia, L Ying, H Zheng, D Liang NMR in Biomedicine 35 (4), e4131, 2022 | 116 | 2022 |
| Deep low-rank plus sparse network for dynamic MR imaging W Huang, Z Ke, ZX Cui, J Cheng, Z Qiu, S Jia, L Ying, Y Zhu, D Liang Medical Image Analysis 73, 102190, 2021 | 59 | 2021 |
| Learned low-rank priors in dynamic MR imaging Z Ke, W Huang, ZX Cui, J Cheng, S Jia, H Wang, X Liu, H Zheng, L Ying, ... IEEE Transactions on Medical Imaging 40 (12), 3698-3710, 2021 | 51 | 2021 |
| Joint intracranial and carotid vessel wall imaging in 5 minutes using compressed sensing accelerated DANTE-SPACE S Jia, L Zhang, L Ren, Y Qi, J Ly, N Zhang, Y Li, X Liu, H Zheng, D Liang, ... European Radiology 30, 119-127, 2020 | 31 | 2020 |
| Computer-aided diagnosis of early knee osteoarthritis based on MRI T2 mapping Y Wu, R Yang, S Jia, Z Li, Z Zhou, T Lou Bio-Medical Materials and Engineering 24 (6), 3379-3388, 2014 | 27 | 2014 |
| Analysis of generalized rosette trajectory for compressed sensing MRI Y Li, R Yang, C Zhang, J Zhang, S Jia, Z Zhou Medical physics 42 (9), 5530-5544, 2015 | 25 | 2015 |
| Parameter optimization framework on wave gradients of Wave‐CAIPI imaging H Wang, Z Qiu, S Su, S Jia, Y Li, X Liu, H Zheng, D Liang Magnetic resonance in medicine 83 (5), 1659-1672, 2020 | 23 | 2020 |
| Deep manifold learning for dynamic MR imaging Z Ke, ZX Cui, W Huang, J Cheng, S Jia, L Ying, Y Zhu, D Liang IEEE Transactions on Computational Imaging 7, 1314-1327, 2021 | 19 | 2021 |
| Improving GRAPPA reconstruction using joint nonlinear kernel mapped and phase conjugated virtual coils H Wang, S Jia, Y Chang, Y Zhu, C Zou, Y Li, X Liu, H Zheng, D Liang Physics in Medicine & Biology 64 (14), 14NT01, 2019 | 16 | 2019 |
| One-stop MR neurovascular vessel wall imaging with a 48-channel coil system at 3 T Y Li, Q Chen, Z Wei, L Zhang, C Tie, Y Zhu, S Jia, J Xia, D Liang, Q He, ... IEEE Transactions on Biomedical Engineering 67 (8), 2317-2327, 2019 | 15 | 2019 |
| Improved parallel image reconstruction using feature refinement J Cheng, S Jia, L Ying, Y Liu, S Wang, Y Zhu, Y Li, C Zou, X Liu, D Liang Magnetic Resonance in Medicine 80 (1), 211-223, 2018 | 15 | 2018 |
| 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 |
| SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging J Zou, C Li, S Jia, R Wu, T Pei, H Zheng, S Wang Bioengineering 9 (11), 650, 2022 | 12 | 2022 |
| Accelerating MR Imaging via Deep Chambolle-Pock Network* H Wang, J Cheng, S Jia, Z Qiu, C Shi, L Zou, S Su, Y Chang, Y Zhu, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 12 | 2019 |
| Highly accelerated parallel MRI using wave encoding and virtual conjugate coils Z Qiu, S Jia, S Su, Y Zhu, X Liu, H Zheng, D Liang, H Wang Magnetic resonance in medicine 86 (3), 1345-1359, 2021 | 11 | 2021 |
| Real-time volumetric MR thermometry using 3D echo-shifted sequence under an open source reconstruction platform R Jiang, S Jia, Y Qiao, Q Chen, J Wen, D Liang, X Liu, H Zheng, C Zou Magnetic resonance imaging 70, 22-28, 2020 | 11 | 2020 |
| Fast T1 mapping of the brain at high field using Look-Locker and fast imaging K Jiang, Y Zhu, S Jia, Y Wu, X Liu, YC Chung Magnetic resonance imaging 36, 49-55, 2017 | 10 | 2017 |
| 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 | 8 | 2023 |
| Deep learning-based automated detection of arterial vessel wall and plaque on magnetic resonance vessel wall images W Xu, X Yang, Y Li, G Jiang, S Jia, Z Gong, Y Mao, S Zhang, Y Teng, ... Frontiers in Neuroscience 16, 888814, 2022 | 8 | 2022 |
| 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 | 6 | 2023 |
