Dong Liang
Cited by
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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
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
Deep learning vs. radiomics for predicting axillary lymph node metastasis of breast cancer using ultrasound images: don't forget the peritumoral region
Q Sun, X Lin, Y Zhao, L Li, K Yan, D Liang, D Sun, ZC Li
Frontiers in oncology 10, 53, 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
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
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
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
A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification
J Zhang, B Zheng, A Gao, X Feng, D Liang, X Long
Magnetic Resonance Imaging 78, 119-126, 2021
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
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
Nonlinear GRAPPA: A kernel approach to parallel MRI reconstruction
Y Chang, D Liang, L Ying
Magnetic Resonance in Medicine 68 (3), 730-740, 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
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
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
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
Single‐shot T2 mapping using overlapping‐echo detachment planar imaging and a deep convolutional neural network
C Cai, C Wang, Y Zeng, S Cai, D Liang, Y Wu, Z Chen, X Ding, J Zhong
Magnetic resonance in medicine 80 (5), 2202-2214, 2018
Artifact correction in low‐dose dental CT imaging using Wasserstein generative adversarial networks
Z Hu, C Jiang, F Sun, Q Zhang, Y Ge, Y Yang, X Liu, H Zheng, D Liang
Medical physics 46 (4), 1686-1696, 2019
Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma
ZC Li, H Bai, Q Sun, Y Zhao, Y Lv, J Zhou, C Liang, Y Chen, D Liang, ...
Cancer medicine 7 (12), 5999-6009, 2018
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
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