| Deep magnetic resonance image reconstruction: Inverse problems meet neural networks D Liang, J Cheng, Z Ke, L Ying IEEE Signal Processing Magazine 37 (1), 141-151, 2020 | 286 | 2020 |
| DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution S Wang, H Cheng, L Ying, T Xiao, Z Ke, H Zheng, D Liang Magnetic resonance imaging 68, 136-147, 2020 | 178 | 2020 |
| 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, e4131, 2019 | 116 | 2019 |
| Deep MRI reconstruction: unrolled optimization algorithms meet neural networks D Liang, J Cheng, Z Ke, L Ying arXiv preprint arXiv:1907.11711, 2019 | 69 | 2019 |
| Deep Low-Rank Plus Sparse Network for Dynamic MR Imaging W Huang#, Z Ke#, ZX Cui, J Cheng, Q Zhiliang, S Jia, L Ying, Y Zhu, ... Medical Image Analysis, 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, 2021 | 55 | 2021 |
| A new deep learning method for image deblurring in optical microscopic systems H Zhao#, Z Ke#, N Chen, S Wang, K Li, L Wang, X Gong, W Zheng, ... Journal of Biophotonics 13 (3), e201960147, 2020 | 52 | 2020 |
| Deep Learning Enables Superior Photoacoustic Imaging at Ultralow Laser Dosages H Zhao#, Z Ke#, F Yang, K Li, N Chen, L Song, C Zheng, D Liang, C Liu Advanced Science, 2003097, 2020 | 44 | 2020 |
| Learning data consistency and its application to dynamic MR imaging J Cheng, ZX Cui, W Huang, Z Ke, L Ying, H Wang, Y Zhu, D Liang IEEE Transactions on Medical Imaging 40 (11), 3140-3153, 2021 | 35 | 2021 |
| An unsupervised deep learning method for multi-coil cine MRI Z Ke, J Cheng, L Ying, H Zheng, Y Zhu, D Liang Physics in medicine & biology 65 (23), 235041, 2020 | 31 | 2020 |
| Deep Manifold Learning for Dynamic MR Imaging Z Ke, ZX Cui, W Huang, J Cheng, S Jia, H Wang, X Liu, H Zheng, L Ying, ... IEEE Transactions on Computational Imaging, 2021 | 19 | 2021 |
| 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 |
| Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-Enhanced Loss Constraint Z Ke, Y Zhu, D Liang Investigative Magnetic Resonance Imaging 24 (4), 214-222, 2020 | 11* | 2020 |
| Complex-valued residual network learning for parallel MR imaging S Wang, H Cheng, Z Ke, L Ying, X Liu, H Zheng, D Liang Proc. 26th Annu. Meeting of ISMRM, 2018 | 7 | 2018 |
| LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset S Wang, Y Chen, T Xiao, Z Ke, Q Liu, H Zheng arXiv preprint arXiv:1908.09140, 2019 | 5 | 2019 |
| Investigation of convolutional neural network based deep learning for cardiac imaging S Wang, Z Ke, H Cheng, L Ying, X Liu, H Zheng, D Liang Proc. 26th Annual Meeting of ISMRM, 2018 | 3 | 2018 |
| Universal generative modeling in dual domains for dynamic MRI C Yu, Y Guan, Z Ke, K Lei, D Liang, Q Liu NMR in Biomedicine 36 (12), e5011, 2023 | 2 | 2023 |
| SRR-Net: A super-resolution-involved reconstruction method for high resolution MR imaging W Huang, S Jia, Z Ke, ZX Cui, J Cheng, Y Zhu, D Liang arXiv preprint arXiv:2104.05901, 2021 | 2 | 2021 |
| Assessment of the generalization of learned unsupervised deep learning method Z Ke, Y Zhu, J Cheng, L Ying, X Liu, H Zheng, D Liang Proceedings of ISMRM, 3630, 2020 | 2 | 2020 |
| Learning reconstruction without ground-truth data: an unsupervised way for fast MR imaging J Cheng, Z Ke, H Wang, Y Zhu, L Ying, X Liu, H Zheng, D Liang Learning, 2019 | 1 | 2019 |
