| Accelerating magnetic resonance imaging via deep learning S Wang, Z Su, L Ying, X Peng, S Zhu, F Liang, D Feng, D Liang 2016 IEEE 13th international symposium on biomedical imaging (ISBI), 514-517, 2016 | 994 | 2016 |
| Denoising MR spectroscopic imaging data with low-rank approximations HM Nguyen, X Peng, MN Do, ZP Liang IEEE Transactions on Biomedical Engineering 60 (1), 78-89, 2012 | 201 | 2012 |
| Adaptive dictionary learning in sparse gradient domain for image recovery Q Liu, S Wang, L Ying, X Peng, Y Zhu, D Liang IEEE Transactions on Image Processing 22 (12), 4652-4663, 2013 | 117 | 2013 |
| Simultaneous QSM and metabolic imaging of the brain using SPICE X Peng, F Lam, Y Li, B Clifford, ZP Liang Magnetic resonance in medicine 79 (1), 13-21, 2018 | 65 | 2018 |
| Accelerated exponential parameterization of T2 relaxation with model‐driven low rank and sparsity priors (MORASA) X Peng, L Ying, Y Liu, J Yuan, X Liu, D Liang Magnetic resonance in medicine 76 (6), 1865-1878, 2016 | 64 | 2016 |
| Multi-contrast brain MRI image super-resolution with gradient-guided edge enhancement H Zheng, K Zeng, D Guo, J Ying, Y Yang, X Peng, F Huang, Z Chen, X Qu IEEE access 6, 57856-57867, 2018 | 55 | 2018 |
| Constrained magnetic resonance spectroscopic imaging by learning nonlinear low-dimensional models F Lam, Y Li, X Peng IEEE transactions on medical imaging 39 (3), 545-555, 2019 | 51 | 2019 |
| Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity H Zheng, X Qu, Z Bai, Y Liu, D Guo, J Dong, X Peng, Z Chen BMC medical imaging 17, 1-13, 2017 | 36 | 2017 |
| Correction of field inhomogeneity effects on limited k-space MRSI data using anatomical constraints X Peng, H Nguyen, J Haldar, D Hernando, XP Wang, ZP Liang 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 35 | 2010 |
| Image reconstruction from few-view CT data by gradient-domain dictionary learning Z Hu, Q Liu, N Zhang, Y Zhang, X Peng, PZ Wu, H Zheng, D Liang Journal of X-ray science and technology 24 (4), 627-638, 2016 | 29 | 2016 |
| DeepSENSE: Learning coil sensitivity functions for SENSE reconstruction using deep learning X Peng, BP Sutton, F Lam, ZP Liang Magnetic resonance in medicine 87 (4), 1894-1902, 2022 | 28 | 2022 |
| Accelerated MRI reconstruction with separable and enhanced low-rank Hankel regularization X Zhang, H Lu, D Guo, Z Lai, H Ye, X Peng, B Zhao, X Qu IEEE transactions on medical imaging 41 (9), 2486-2498, 2022 | 27 | 2022 |
| SCOPE: signal compensation for low-rank plus sparse matrix decomposition for fast parameter mapping Y Zhu, Y Liu, L Ying, X Peng, YXJ Wang, J Yuan, X Liu, D Liang Physics in Medicine & Biology 63 (18), 185009, 2018 | 27 | 2018 |
| Sparse MRI reconstruction using multi-contrast image guided graph representation Z Lai, X Qu, H Lu, X Peng, D Guo, Y Yang, G Guo, Z Chen Magnetic resonance imaging 43, 95-104, 2017 | 23 | 2017 |
| Direct diffusion tensor estimation using a model‐based method with spatial and parametric constraints Y Zhu, X Peng, Y Wu, EX Wu, L Ying, X Liu, H Zheng, D Liang Medical Physics 44 (2), 570-580, 2017 | 21 | 2017 |
| Reference-guided sparsifying transform design for compressive sensing MRI SD Babacan, X Peng, XP Wang, MN Do, ZP Liang 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 21 | 2011 |
| Reference-driven MR image reconstruction with sparsity and support constraints X Peng, HQ Du, F Lam, SD Babacan, ZP Liang 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 20 | 2011 |
| Incorporating reference in parallel imaging and compressed sensing X Peng, L Ying, Q Liu, Y Zhu, Y Liu, X Qu, X Liu, H Zheng, D Liang Magnetic resonance in medicine 73 (4), 1490-1504, 2015 | 18 | 2015 |
| Exploiting parameter sparsity in model-based reconstruction to accelerate proton density and T2 mapping X Peng, X Liu, H Zheng, D Liang Medical engineering & physics 36 (11), 1428-1435, 2014 | 18 | 2014 |
| Spatiotemporal denoising of MR spectroscopic imaging data by low-rank approximations HM Nguyen, X Peng, MN Do, ZP Liang 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 18 | 2011 |
Dong LiangProfessor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences在 siat.ac.cn 的电子邮件经过验证
