Dong Liang
Cited by
Cited by
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
Accelerating SENSE using compressed sensing
D Liang, B Liu, J Wang, L Ying
Magnetic Resonance in Medicine: An Official Journal of the International …, 2009
Motion tracking of the carotid artery wall from ultrasound image sequences: a nonlinear state-space approach
Z Gao, Y Li, Y Sun, J Yang, H Xiong, H Zhang, X Liu, W Wu, D Liang, S Li
IEEE transactions on medical imaging 37 (1), 273-283, 2017
Healthy aging: an automatic analysis of global and regional morphological alterations of human brain
X Long, W Liao, C Jiang, D Liang, B Qiu, L Zhang
Academic radiology 19 (7), 785-793, 2012
kt 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
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
A facial expression recognition system based on supervised locally linear embedding
D Liang, J Yang, Z Zheng, Y Chang
Pattern Recognition Letters 26 (15), 2374-2389, 2005
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
Nonlinear GRAPPA: A kernel approach to parallel MRI reconstruction
Y Chang, D Liang, L Ying
Magnetic Resonance in Medicine 68 (3), 730-740, 2012
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
Highly undersampled magnetic resonance image reconstruction using two-level Bregman method with dictionary updating
Q Liu, S Wang, K Yang, J Luo, Y Zhu, D Liang
IEEE Transactions on Medical Imaging 32 (7), 1290-1301, 2013
Accelerated MR diffusion tensor imaging using distributed compressed sensing
Y Wu, YJ Zhu, QY Tang, C Zou, W Liu, RB Dai, X Liu, EX Wu, L Ying, ...
Magnetic resonance in medicine 71 (2), 763-772, 2014
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
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
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
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
Learning joint-sparse codes for calibration-free parallel MR imaging
S Wang, S Tan, Y Gao, Q Liu, L Ying, T Xiao, Y Liu, X Liu, H Zheng, ...
IEEE transactions on medical imaging 37 (1), 251-261, 2017
PANDA‐ : Integrating principal component analysis and dictionary learning for fast mapping
Y Zhu, Q Zhang, Q Liu, YXJ Wang, X Liu, H Zheng, D Liang, J Yuan
Magnetic resonance in medicine 73 (1), 263-272, 2015
GcsDecolor: gradient correlation similarity for efficient contrast preserving decolorization
Q Liu, PX Liu, W Xie, Y Wang, D Liang
IEEE Transactions on Image Processing 24 (9), 2889-2904, 2015
In vivo optical-resolution photoacoustic computed tomography with compressed sensing
J Meng, LV Wang, D Liang, L Song
Optics letters 37 (22), 4573-4575, 2012
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