Author

Dong Liang

Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences - Cited by 6,352 - image reconstruction - compressed sensing - magnetic resonance imaging - Machine Learning

Biography

Dr. Dong Liang's research investigates the statistical issues in synthesizing environmental data sets collected at various places, frequencies, accuracies and ways. He often uses Bayesian hierarchical models and geo-spatial tools to fuse information from survey design and multiple sources. Dr. Liang's collaborations include fisheries, ecosystem science, restoration ecology,  environmental health, spatial epidemiology and social science. He is a founding member of the Environmental Statistics Collaborative, which is hosted at the Chesapeake Biological Lab.
Title
Cited by
Year
Deep magnetic resonance image reconstruction: Inverse problems meet neural networks
D Liang, J Cheng, Z Ke, L YingIEEE Signal Processing Magazine 37 (1), 141-151, 2020202
208
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 LiangMagnetic Resonance Imaging 68, 136-147, 2020202
141
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 LiangNMR in Biomedicine 35 (4), e4131, 2022202
89
2022
DPIR-Net: Direct PET image reconstruction based on the Wasserstein generative adversarial network
Z Hu, H Xue, Q Zhang, J Gao, N Zhang, S Zou, Y Teng, X Liu, Y Yang, ...IEEE Transactions on Radiation and Plasma Medical Sciences 5 (1), 35-43, 2020202
56
2020
CaGAN: A cycle-consistent generative adversarial network with attention for low-dose CT imaging
Z Huang, Z Chen, Q Zhang, G Quan, M Ji, C Zhang, Y Yang, X Liu, ...IEEE Transactions on Computational Imaging 6, 1203-1218, 2020202
48
2020
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, L Song, ...Journal of biophotonics 13 (3), e201960147, 2020202
40
2020
Artifact removal using a hybrid-domain convolutional neural network for limited-angle computed tomography imaging
Q Zhang, Z Hu, C Jiang, H Zheng, Y Ge, D LiangPhysics in Medicine & Biology 65 (15), 155010, 2020202
39
2020
ADAPTIVE-NET: deep computed tomography reconstruction network with analytical domain transformation knowledge
Y Ge, T Su, J Zhu, X Deng, Q Zhang, J Chen, Z Hu, H Zheng, D LiangQuantitative Imaging in Medicine and Surgery 10 (2), 415, 2020202
36
2020
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 40 (12), 3698-3710, 2021202
35
2021
Obtaining PET/CT images from non-attenuation corrected PET images in a single PET system using Wasserstein generative adversarial networks
Z Hu, Y Li, S Zou, H Xue, Z Sang, X Liu, Y Yang, X Zhu, D Liang, H ZhengPhysics in Medicine & Biology 65 (21), 215010, 2020202
33
2020
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 LiangMedical Image Analysis 73, 102190, 2021202
31
2021
MRI denoising using progressively distribution-based neural network
S Li, J Zhou, D Liang, Q LiuMagnetic resonance imaging 71, 55-68, 2020202
29
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 LiuAdvanced Science 8 (3), 2003097, 2021202
29
2021
An unsupervised deep learning method for multi-coil cine MRI
Z Ke, J Cheng, L Ying, H Zheng, Y Zhu, D LiangPhysics in Medicine & Biology 65 (23), 235041, 2020202
28
2020
Design and performance of SIAT aPET: a uniform high-resolution small animal PET scanner using dual-ended readout detectors
Z Kuang, X Wang, N Ren, S Wu, J Gao, T Zeng, D Gao, C Zhang, Z Sang, ...Physics in Medicine & Biology 65 (23), 235013, 2020202
27
2020
SuperDTI: Ultrafast DTI and fiber tractography with deep learning
H Li, Z Liang, C Zhang, R Liu, J Li, W Zhang, D Liang, B Shen, X Zhang, ...Magnetic resonance in medicine 86 (6), 3334-3347, 2021202
22
2021
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 LiangIEEE Transactions on Medical Imaging 40 (11), 3140-3153, 202
21
2021
High-dimensional embedding network derived prior for compressive sensing MRI reconstruction
M Zhang, M Li, J Zhou, Y Zhu, S Wang, D Liang, Y Chen, Q LiuMedical Image Analysis 64, 101717, 2020202
21
2020
Parameter optimization framework on wave gradients of Wave‐CAIPI imaging
H Wang, Z Qiu, S Su, S Jia, Y Li, X Liu, H Zheng, D LiangMagnetic resonance in medicine 83 (5), 1659-1672,
20
2020
PET image reconstruction using a cascading back-projection neural network
Q Zhang, J Gao, Y Ge, N Zhang, Y Yang, X Liu, H Zheng, D Liang, Z HuIEEE Journal of Selected Topics in Signal Processing 14 (6), 1100-1111, 2020202
19
2020

Referred From: https://scholar.google.com/citations?user=3cAJWoIAAAAJ&hl=en

Cited by
Citations 6352
h-index 40
i10-index 124
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