| 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 | 1061 | 2016 |
| Accelerating SENSE using compressed sensing D Liang, B Liu, J Wang, L Ying Magnetic Resonance in Medicine: An Official Journal of the International …, 2009 | 587 | 2009 |
| 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 | 415* | 2020 |
| Joint image reconstruction and sensitivity estimation in SENSE (JSENSE) L Ying, J Sheng Magnetic Resonance in Medicine: An Official Journal of the International …, 2007 | 356 | 2007 |
| 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 | 212 | 2020 |
| Compressed sensing dynamic cardiac cine MRI using learned spatiotemporal dictionary Y Wang, L Ying IEEE transactions on Biomedical Engineering 61 (4), 1109-1120, 2013 | 164* | 2013 |
| 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 | 138 | 2022 |
| Regularized sensitivity encoding (SENSE) reconstruction using Bregman iterations B Liu, K King, M Steckner, J Xie, J Sheng, L Ying Magnetic Resonance in Medicine: An Official Journal of the International …, 2009 | 129 | 2009 |
| 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 | 119 | 2013 |
| Nonlinear GRAPPA: A kernel approach to parallel MRI reconstruction Y Chang, D Liang, L Ying Magnetic resonance in medicine 68 (3), 730-740, 2012 | 119 | 2012 |
| k‐t ISD: Dynamic cardiac MR imaging using compressed sensing with iterative support detection D Liang, EVR DiBella, RR Chen, L Ying Magnetic resonance in medicine 68 (1), 41-53, 2012 | 119 | 2012 |
| Sensitivity encoding reconstruction with nonlocal total variation regularization D Liang, H Wang, Y Chang, L Ying Magnetic resonance in medicine 65 (5), 1384-1392, 2011 | 112 | 2011 |
| On Tikhonov regularization for image reconstruction in parallel MRI L Ying, D Xu, ZP Liang The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004 | 111 | 2004 |
| SparseSENSE: application of compressed sensing in parallel MRI B Liu, YM Zou, L Ying 2008 International Conference on Information Technology and Applications in …, 2008 | 104 | 2008 |
| A kernel-based low-rank (KLR) model for low-dimensional manifold recovery in highly accelerated dynamic MRI U Nakarmi, Y Wang, J Lyu, D Liang, L Ying IEEE transactions on medical imaging 36 (11), 2297-2307, 2017 | 101 | 2017 |
| Model learning: Primal dual networks for fast MR imaging J Cheng, H Wang, L Ying, D Liang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 99 | 2019 |
| Parallel MRI using phased array coils L Ying, ZP Liang IEEE Signal Processing Magazine 27 (4), 90-98, 2010 | 94 | 2010 |
| Compressed-sensing photoacoustic computed tomography in vivo with partially known support J Meng, LV Wang, L Ying, D Liang, L Song Optics Express 20 (15), 16510-16523, 2012 | 91 | 2012 |
| Phase unwrapping L Ying Wiley Encyclopedia of Biomedical Engineering, 2006 | 86 | 2006 |
| 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 | 81 | 2021 |
Dong LiangProfessor, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesEmail được xác minh tại siat.ac.cn
