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ORCIDDong Liang 0001
Person information
- affiliation: Chinese Academy of Sciences, Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen, China
- affiliation (2007 - 2011): University of Wisconsin-Milwaukee, WI, USA
- affiliation (PhD 2006): Shanghai Jiaotong University, China
Other persons with the same name
- Dong Liang — disambiguation page
- Dong Liang 0002 — Texas A&M University, College Station, USA
- Dong Liang 0003 — Freiberg University of Mining and Technology, Germany
- Dong Liang 0004
![[0000-0003-1898-5920]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1898-5920")
— York University, Department of Mathematics and Statistics, Toronto, Canada (and 1 more) - Dong Liang 0005 — Chinese Academy of Sciences, Key Laboratory of Digital Earth, Beijing, China (and 1 more)
- Dong Liang 0006 — Tianjin University, Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, China
- Dong Liang 0007 — Xi'an University of Technology, Xi'an Key Laboratory of Intelligent Energy, China
- Dong Liang 0008 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Dong Liang 0009 — Anhui University, Hefei, China
- Dong Liang 0010 — Beijing University of Posts and Telecommunications, Beijing, China
- Dong Liang 0011 — Anhui University, National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Hefei, China
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2020 – today
- 2024
[j66]Qiyang Zhang, Yingying Hu, Yumo Zhao, Jing Cheng, Wei Fan, Debin Hu, Fuxiao Shi, Shuangliang Cao, Yun Zhou, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu:
Deep Generalized Learning Model for PET Image Reconstruction. IEEE Trans. Medical Imaging 43(1): 122-134 (2024)- [j65]Ting Su, Jiongtao Zhu, Xin Zhang, Yuhang Tan, Han Cui, Dong Zeng, Jinchuan Guo, Hairong Zheng, Jianhua Ma, Dong Liang, Yongshuai Ge:
Super Resolution Dual-Energy Cone-Beam CT Imaging With Dual-Layer Flat-Panel Detector. IEEE Trans. Medical Imaging 43(2): 734-744 (2024) - [j64]Peizhou Huang, Chaoyi Zhang, Xiaoliang Zhang, Xiaojuan Li, Dong Liang, Leslie Ying:
Self-Supervised Deep Unrolled Reconstruction Using Regularization by Denoising. IEEE Trans. Medical Imaging 43(3): 1203-1213 (2024) - [j63]Minghan Fu, Na Zhang, Zhenxing Huang, Chao Zhou, Xu Zhang, Jianmin Yuan, Qiang He, Yongfeng Yang, Hairong Zheng, Dong Liang, Fang-Xiang Wu, Wei Fan, Zhanli Hu:
OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising. IEEE Trans. Medical Imaging 43(4): 1554-1567 (2024) - 2023
- [j62]Zhenxing Huang, Wenbo Li, Yunling Wang, Zhou Liu, Qiyang Zhang, Yuxi Jin, Ruodai Wu, Guotao Quan, Dong Liang, Zhanli Hu, Na Zhang:
MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks. Artif. Intell. Medicine 143: 102609 (2023) - [j61]Zixiang Chen, Na Zhang, Qiyang Zhang, Kaiyi Liang, Zhenxing Huang, Guotao Quan, Xiang Li, Dong Liang, Zhanli Hu:
Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC). Biomed. Signal Process. Control. 86(Part B): 105225 (2023) - [j60]Wenyi Qu, Jing Cheng, Yanjie Zhu, Dong Liang:
Deep MR parametric imaging with the learned L + S model and attention mechanism. IET Image Process. 17(4): 969-978 (2023) - [j59]Zhuo-Xu Cui, Sen Jia, Chentao Cao, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang:
K-UNN: k-space interpolation with untrained neural network. Medical Image Anal. 88: 102877 (2023) - [j58]Zhi-Feng Pang, Mengxiao Geng, Lan Zhang, Yanru Zhou, Tieyong Zeng, Liyun Zheng, Na Zhang, Dong Liang, Hairong Zheng, Yongming Dai, Zhenxing Huang, Zhanli Hu:
Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation. Signal Process. 205: 108881 (2023) - [j57]Yanjie Zhu, Jing Cheng, Zhuo-Xu Cui, Qingyong Zhu, Leslie Ying, Dong Liang:
Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks. IEEE Signal Process. Mag. 40(2): 116-128 (2023) - [j56]Minghan Fu, Meiyun Wang, Yaping Wu, Na Zhang, Yongfeng Yang, Haining Wang, Yun Zhou, Yue Shang, Fang-Xiang Wu, Hairong Zheng, Dong Liang, Zhanli Hu:
A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement. IEEE J. Biomed. Health Informatics 27(6): 2864-2875 (2023) - [j55]Yuanyuan Liu, Dong Liang, Zhuo-Xu Cui, Yuxin Yang, Chentao Cao, Qingyong Zhu, Jing Cheng, Caiyun Shi, Haifeng Wang, Yanjie Zhu:
Accelerating Magnetic Resonance T1ρ Mapping Using Simultaneously Spatial Patch-Based and Parametric Group-Based Low-Rank Tensors (SMART). IEEE Trans. Medical Imaging 42(8): 2247-2261 (2023) - [j54]Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu:
One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction. IEEE Trans. Medical Imaging 42(11): 3420-3435 (2023) - [j53]Zhuo-Xu Cui, Sen Jia, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Leslie Ying, Dong Liang:
Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging. IEEE Trans. Medical Imaging 42(12): 3540-3554 (2023) - [c47]Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang:
Dynamic Dual-Graph Fusion Convolutional Network for Alzheimer's Disease Diagnosis. ICIP 2023: 675-679 - [c46]Ce Wang, Kun Shang, Haimiao Zhang, Shang Zhao, Dong Liang, S. Kevin Zhou:
Active CT Reconstruction with a Learned Sampling Policy. ACM Multimedia 2023: 7226-7235 - [i41]Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu:
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI. CoRR abs/2304.05060 (2023) - [i40]Zhuo-Xu Cui, Congcong Liu, Chentao Cao, Yuanyuan Liu, Jing Cheng, Qingyong Zhu, Yanjie Zhu, Haifeng Wang, Dong Liang:
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI. CoRR abs/2305.02509 (2023) - [i39]Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang:
Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis. CoRR abs/2308.15484 (2023) - [i38]Chen Luo, Huayu Wang, Taofeng Xie, Qiyu Jin, Guoqing Chen, Zhuo-Xu Cui, Dong Liang:
Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI. CoRR abs/2309.13571 (2023) - [i37]Wenxin Wang, Zhuo-Xu Cui, Guanxun Cheng, Chentao Cao, Xi Xu, Ziwei Liu, Haifeng Wang, Yulong Qi, Dong Liang, Yanjie Zhu:
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection. CoRR abs/2311.03074 (2023) - 2022
- [j52]Chenxin Li, Xin Lin, Yijin Mao, Wei Lin, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu:
Domain generalization on medical imaging classification using episodic training with task augmentation. Comput. Biol. Medicine 141: 105144 (2022) - [j51]Zhengyong Huang, Si Tang, Zixiang Chen, Guoshuai Wang, Hao Shen, Yun Zhou, Haining Wang, Wei Fan, Dong Liang, Yingying Hu, Zhanli Hu:
TG-Net: Combining transformer and GAN for nasopharyngeal carcinoma tumor segmentation based on total-body uEXPLORER PET/CT scanner. Comput. Biol. Medicine 148: 105869 (2022) - [j50]Guoshuai Wang, Zhou Liu, Zhengyong Huang, Na Zhang, Honghong Luo, Lijian Liu, Hao Shen, Canwen Che, Tianye Niu, Dong Liang, Dehong Luo, Zhanli Hu:
Improved GAN: Using a transformer module generator approach for material decomposition. Comput. Biol. Medicine 149: 105952 (2022) - [j49]Zhengyong Huang, Sijuan Zou, Guoshuai Wang, Zixiang Chen, Hao Shen, Haiyan Wang, Na Zhang, Lu Zhang, Fan Yang, Haining Wang, Dong Liang, Tianye Niu, Xiaohua Zhu, Zhanli Hu:
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation. Comput. Methods Programs Biomed. 226: 107129 (2022) - [j48]Zhenxing Huang, Zhou Liu, Pin He, Ya Ren, Shuluan Li, Yuanyuan Lei, Dehong Luo, Dong Liang, Dan Shao, Zhanli Hu, Na Zhang:
Segmentation-guided Denoising Network for Low-dose CT Imaging. Comput. Methods Programs Biomed. 227: 107199 (2022) - [j47]Zhuonan He, Kai Hong, Jinjie Zhou, Dong Liang, Yuhao Wang, Qiegen Liu:
Deep frequency-recurrent priors for inverse imaging reconstruction. Signal Process. 190: 108320 (2022) - [j46]Yihang Zhou, Haifeng Wang, Yuanyuan Liu, Dong Liang, Leslie Ying:
Accelerating MR Parameter Mapping Using Nonlinear Compressive Manifold Learning and Regularized Pre-Imaging. IEEE Trans. Biomed. Eng. 69(10): 2996-3007 (2022) - [j45]Zixiang Chen, Yaping Wu, Na Zhang, Tao Sun, Yu Shen, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu:
High Temporal Resolution Total-Body Dynamic PET Imaging Based on Pixel-Level Time-Activity Curve Correction. IEEE Trans. Biomed. Eng. 69(12): 3689-3702 (2022) - [c45]Che Wang, Sen Jia, Zhonghong Yan, Yijia Zheng, Shaonan Liu, Haifeng Wang, Dong Liang, Yanjie Zhu:
Online reconstruction of fast dynamic MR imaging using deep low-rank plus sparse network. CBMS 2022: 166-170 - [c44]Dian Jiang, Zhanqi Hu, Cailei Zhao, Xia Zhao, Jun Yang, Yanjie Zhu, Jianxiang Liao, Dong Liang, Haifeng Wang:
Identification of Children's Tuberous Sclerosis Complex with Multiple-contrast MRI and 3D Convolutional Network. EMBC 2022: 2924-2927 - [i36]Xianghao Liao, Shanshan Wang, Lanlan Tu, Yuhao Wang, Dong Liang, Qiegen Liu:
Variable Augmented Network for Invertible MR Coil Compression. CoRR abs/2201.07428 (2022) - [i35]Zongjiang Tu, Chen Jiang, Yu Guan, Shanshan Wang, Jijun Liu, Qiegen Liu, Dong Liang:
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction. CoRR abs/2203.10776 (2022) - [i34]Hui Tao, Haifeng Wang, Shanshan Wang, Dong Liang, Xiaoling Xu, Qiegen Liu:
Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging. CoRR abs/2204.01979 (2022) - [i33]Peizhou Huang, Chaoyi Zhang, Xiaoliang Zhang, Xiaojuan Li, Dong Liang, Leslie Ying:
Unsupervised Deep Unrolled Reconstruction Using Regularization by Denoising. CoRR abs/2205.03519 (2022) - [i32]Zongjiang Tu, Die Liu, Xiaoqing Wang, Chen Jiang, Minghui Zhang, Qiegen Liu, Dong Liang:
WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction. CoRR abs/2205.03883 (2022) - [i31]Chentao Cao, Zhuo-Xu Cui, Qingyong Zhu, Dong Liang, Yanjie Zhu:
PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging. CoRR abs/2205.04073 (2022) - [i30]Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu:
High-Frequency Space Diffusion Models for Accelerated MRI. CoRR abs/2208.05481 (2022) - [i29]Zhuo-Xu Cui, Sen Jia, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang:
K-UNN: k-Space Interpolation With Untrained Neural Network. CoRR abs/2208.05827 (2022) - [i28]Hong Peng, Chen Jiang, Yu Guan, Jing Cheng, Minghui Zhang, Dong Liang, Qiegen Liu:
One-shot Generative Prior Learned from Hankel-k-space for Parallel Imaging Reconstruction. CoRR abs/2208.07181 (2022) - [i27]Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang:
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction. CoRR abs/2209.00835 (2022) - [i26]Ce Wang, Kun Shang, Haimiao Zhang, Shang Zhao, Dong Liang, S. Kevin Zhou:
Active CT Reconstruction with a Learned Sampling Policy. CoRR abs/2211.01670 (2022) - [i25]Zhengyong Huang, Sijuan Zou, Guoshuai Wang, Zixiang Chen, Hao Shen, Haiyan Wang, Na Zhang, Lu Zhang, Fan Yang, Haining Wang, Dong Liang, Tianye Niu, Xiaohua Zhu, Zhanli Hu:
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation. CoRR abs/2211.02256 (2022) - [i24]Taofeng Xie, Chentao Cao, Zhuoxu Cui, Fanshi Li, Zidong Wei, Yanjie Zhu, Ye Li, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang:
Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields. CoRR abs/2211.08901 (2022) - [i23]Zhuo-Xu Cui, Qingyong Zhu, Jing Cheng, Dong Liang:
Deep unfolding as iterative regularization for imaging inverse problems. CoRR abs/2211.13452 (2022) - [i22]Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu:
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging. CoRR abs/2212.07599 (2022) - [i21]Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu:
SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging. CoRR abs/2212.11274 (2022) - 2021
- [j44]Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Mudan Zhang, Xianchun Zeng, Jun Liu, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu:
FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms. Appl. Intell. 51(5): 2838-2849 (2021) - [j43]Ronghui Luo, Yongshuai Ge, Zhanli Hu, Dong Liang, Zhi-Cheng Li:
DeepPhase: Learning phase contrast signal from dual energy X-ray absorption images. Displays 69: 102027 (2021) - [j42]Zhanglei Ouyang, Shujun Zhao, Zhaoping Cheng, Yanhua Duan, Zixiang Chen, Na Zhang, Dong Liang, Zhanli Hu:
Dynamic PET Imaging Using Dual Texture Features. Frontiers Comput. Neurosci. 15: 819840 (2021) - [j41]Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Jincai Chen, Ping Lu, Qiyang Zhang, Changhui Jiang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu:
Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks. Neurocomputing 428: 104-115 (2021) - [j40]Siyuan Wang, Junjie Lv, Zhuonan He, Dong Liang, Yang Chen, Minghui Zhang, Qiegen Liu:
Denoising auto-encoding priors in undecimated wavelet domain for MR image reconstruction. Neurocomputing 437: 325-338 (2021) - [j39]Wenqi Huang, Ziwen Ke, Zhuoxu Cui, Jing Cheng, Zhilang Qiu, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep low-Rank plus sparse network for dynamic MR imaging. Medical Image Anal. 73: 102190 (2021) - [j38]Yongshuai Ge, Peizhen Liu, Yifan Ni, Jianwei Chen, Jiecheng Yang, Ting Su, Huitao Zhang, Jinchuan Guo, Hairong Zheng, Zhicheng Li, Dong Liang:
Enhancing the X-Ray Differential Phase Contrast Image Quality With Deep Learning Technique. IEEE Trans. Biomed. Eng. 68(6): 1751-1758 (2021) - [j37]Ziwen Ke, Zhuo-Xu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Manifold Learning for Dynamic MR Imaging. IEEE Trans. Computational Imaging 7: 1314-1327 (2021) - [j36]Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Zixiang Chen, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu:
Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites. IEEE J. Biomed. Health Informatics 25(9): 3416-3427 (2021) - [j35]Shi Su, Zhilang Qiu, Chao Luo, Caiyun Shi, Liwen Wan, Yanjie Zhu, Ye Li, Xin Liu, Hairong Zheng, Dong Liang, Haifeng Wang:
Accelerated 3D bSSFP Using a Modified Wave-CAIPI Technique With Truncated Wave Gradients. IEEE Trans. Medical Imaging 40(1): 48-58 (2021) - [j34]Jing Cheng, Zhuo-Xu Cui, Wenqi Huang, Ziwen Ke, Leslie Ying, Haifeng Wang, Yanjie Zhu, Dong Liang:
Learning Data Consistency and its Application to Dynamic MR Imaging. IEEE Trans. Medical Imaging 40(11): 3140-3153 (2021) - [j33]Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu:
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction. IEEE Trans. Medical Imaging 40(12): 3265-3278 (2021) - [j32]Ziwen Ke, Wenqi Huang, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Learned Low-Rank Priors in Dynamic MR Imaging. IEEE Trans. Medical Imaging 40(12): 3698-3710 (2021) - [c43]Wei Wang, Yanjie Zhu, Zhuoxu Cui, Dong Liang:
Is Each Layer Non-trivial in CNN? (Student Abstract). AAAI 2021: 15915-15916 - [c42]Yuxin Yang, Zhongmin Chen, Xi Xu, Yuanyuan Liu, Yanjie Zhu, Dong Liang:
The Optimization of Adiabatic Pulses with Constant Amplitude Spin-lock for Magnetic Resonance $\mathrm{T}_{1\rho}$ Imaging. RCAR 2021: 1170-1175 - [i20]Ziwen Ke, Zhuoxu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Manifold Learning for Dynamic MR Imaging. CoRR abs/2104.01102 (2021) - [i19]Wenqi Huang, Sen Jia, Ziwen Ke, Zhuoxu Cui, Jing Cheng, Yanjie Zhu, Dong Liang:
SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging. CoRR abs/2104.05901 (2021) - [i18]Chenxin Li, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu:
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation. CoRR abs/2106.06908 (2021) - [i17]Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang:
MRI Reconstruction Using Deep Energy-Based Model. CoRR abs/2109.03237 (2021) - [i16]Yanjie Zhu, Haoxiang Li, Yuanyuan Liu, Muzi Guo, Guanxun Cheng, Gang Yang, Haifeng Wang, Dong Liang:
Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning. CoRR abs/2112.00730 (2021) - [i15]Zhuo-Xu Cui, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Dong Liang:
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI. CoRR abs/2112.09891 (2021) - 2020
- [j31]Qiyang Zhang, Juan Gao, Yongshuai Ge, Na Zhang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu:
PET Image Reconstruction Using a Cascading Back-Projection Neural Network. IEEE J. Sel. Top. Signal Process. 14(6): 1100-1111 (2020) - [j30]Minghui Zhang, Mengting Li, Jinjie Zhou, Yanjie Zhu, Shanshan Wang, Dong Liang, Yang Chen, Qiegen Liu:
High-dimensional embedding network derived prior for compressive sensing MRI reconstruction. Medical Image Anal. 64: 101717 (2020) - [j29]Chaoyi Zhang, Tanzil Mahmud Arefin, Ukash Nakarmi, Choong-Heon Lee, Hongyu Li, Dong Liang, Jiangyang Zhang, Leslie Ying:
Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method. NeuroImage 210: 116584 (2020) - [j28]Dong Liang, Jing Cheng, Ziwen Ke, Leslie Ying:
Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks. IEEE Signal Process. Mag. 37(1): 141-151 (2020) - [j27]Ye Li, Qiaoyan Chen, Zidong Wei, Lei Zhang, Changjun Tie, Yanjie Zhu, Sen Jia, Jun Xia, Dong Liang, Qiang He, Xiaoliang Zhang, Xin Liu, Bing Zhang, Hairong Zheng:
One-Stop MR Neurovascular Vessel Wall Imaging With a 48-Channel Coil System at 3 T. IEEE Trans. Biomed. Eng. 67(8): 2317-2327 (2020) - [j26]Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang:
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI. IEEE Trans. Computational Imaging 6: 434-446 (2020) - [j25]Zhiyuan Huang, Zixiang Chen, Qiyang Zhang, Guotao Quan, Min Ji, Chengjin Zhang, Yongfeng Yang, Xin Liu, Dong Liang, Hairong Zheng, Zhanli Hu:
CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging. IEEE Trans. Computational Imaging 6: 1203-1218 (2020) - [j24]Sanqian Li, Binjie Qin, Jing Xiao, Qiegen Liu, Yuhao Wang, Dong Liang:
Multi-Channel and Multi-Model-Based Autoencoding Prior for Grayscale Image Restoration. IEEE Trans. Image Process. 29: 142-156 (2020) - [j23]Liyan Sun, Wenao Ma, Xinghao Ding, Yue Huang, Dong Liang, John W. Paisley:
A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI. IEEE Trans. Medical Imaging 39(4): 898-909 (2020) - [c41]Nan Li, Zhaojian Li, Dong Liang, Anouck Girard, Ilya V. Kolmanovsky, Renfu Lu:
Triggered Measurements in Markov Processes for Entropy-Constrained State Estimation with Application to Precision Agriculture. CDC 2020: 3611-3616 - [c40]Haifeng Wang, Fang Cai, Caiyun Shi, Jing Cheng, Shi Su, Zhilang Qiu, Guoxi Xie, Hanwei Chen, Xin Liu, Dong Liang:
Positive Contrast Susceptibility MR Imaging Using GPU-based Primal-Dual Algorithm. EMBC 2020: 1485-1488 - [i14]Hongyu Li, Zifei Liang, Chaoyi Zhang, Ruiying Liu, Jing Li, Weihong Zhang, Dong Liang, Bowen Shen, Xiaoliang Zhang, Yulin Ge, Jiangyang Zhang, Leslie Ying:
Deep Learning for Highly Accelerated Diffusion Tensor Imaging. CoRR abs/2002.01031 (2020) - [i13]Ziwen Ke, Wenqi Huang, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Low-rank Prior in Dynamic MR Imaging. CoRR abs/2006.12090 (2020) - [i12]Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu:
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction. CoRR abs/2008.06284 (2020) - [i11]Wenqi Huang, Ziwen Ke, Zhuoxu Cui, Jing Cheng, Zhilang Qiu, Sen Jia, Yanjie Zhu, Dong Liang:
Deep Low-rank plus Sparse Network for Dynamic MR Imaging. CoRR abs/2010.13677 (2020)
2010 – 2019
- 2019
- [j22]Peijian Gu, Changhui Jiang, Min Ji, Qiyang Zhang, Yongshuai Ge, Dong Liang, Xin Liu, Yongfeng Yang, Hairong Zheng, Zhanli Hu:
Low-Dose Computed Tomography Image Super-Resolution Reconstruction via Random Forests. Sensors 19(1): 207 (2019) - [j21]Jingyuan Lyu, Ukash Nakarmi, Dong Liang, Jinhua Sheng, Leslie Ying:
KerNL: Kernel-Based Nonlinear Approach to Parallel MRI Reconstruction. IEEE Trans. Medical Imaging 38(1): 312-321 (2019) - [c39]Guanyu Li, Yiling Liu, Minghui Zhang, Shanshan Wang, Yanjie Zhu, Qiegen Liu, Dong Liang:
A Network-Driven Prior Induced Bregman Model for Parallel MR Imaging. EMBC 2019: 4483-4486 - [c38]Lixian Zou, Haifeng Wang, Yanjie Zhu, Yuanyuan Liu, Jing Cheng, Sen Jia, Caiyun Shi, Shi Su, Xin Liu, Hairong Zheng, Dong Liang:
T1rho Fractional-order Relaxation of Human Articular Cartilage. EMBC 2019: 4496-4499 - [c37]Caiyun Shi, Jing Cheng, Shi Su, Lixian Zou, Hanwei Chen, Guoxi Xie, Dong Liang, Xin Liu, Haifeng Wang:
Three Dimensional Positive Contrast Susceptibility Fast Spin Echo MR Imaging with Variable Excitation Pulses and PD Algorithm. EMBC 2019: 4824-4827 - [c36]Caiyun Shi, Haifeng Wang, Guoxi Xie, Shi Su, Yi Huang, Hanwei Chen, Xin Liu, Hairong Zheng, Dong Liang:
Susceptibility-based MR Imaging of Nitinol Stent. EMBC 2019: 5753-5756 - [c35]Haifeng Wang, Jing Cheng, Sen Jia, Zhilang Qiu, Caiyun Shi, Lixian Zou, Shi Su, Yuchou Chang, Yanjie Zhu, Leslie Ying, Dong Liang:
Accelerating MR Imaging via Deep Chambolle-Pock Network. EMBC 2019: 6818-6821 - [c34]Sunil Kumar Gaire, Chaoyi Zhang, Hongyu Li, Peizhou Huang, Ruiying Liu, Haifeng Wang, Dong Liang, Leslie Ying:
Accelerated 3D Localization Microscopy Using Blind Sparse Inpainting. ISBI 2019: 526-529 - [c33]Haifeng Wang, Zhilang Qiu, Shi Su, Leslie Ying, Dong Liang:
Fast Calculation Method of Average G-Factor for Wave-CAIPI Imaging. ISBI 2019: 1656-1659 - [c32]Wei Zeng, Jie Peng, Shanshan Wang, Zhicheng Li, Qiegen Liu, Dong Liang:
A Comparative Study of CNN-Based Super-Resolution Methods in MRI Reconstruction. ISBI 2019: 1678-1682 - [c31]Haifeng Wang, Lixian Zou, Huihui Ye, Shi Su, Yuchou Chang, Xin Liu, Dong Liang:
Application of Time-Fractional Order Bloch Equation in Magnetic Resonance Fingerprinting. ISBI 2019: 1704-1707 - [c30]Jing Cheng, Haifeng Wang, Leslie Ying, Dong Liang:
Model Learning: Primal Dual Networks for Fast MR Imaging. MICCAI (3) 2019: 21-29 - [c29]Jing Cheng, Sen Jia, Ye Li, Haifeng Wang, Dong Liang:
A Parameter-Insensitive Solution for Hybrid Compressed Sensing and Parallel Imaging. RCAR 2019: 919-922 - [c28]Congcong Liu, Jianguo Cui, Nan Li, Feng Du, Junxia Chen, Caiyun Shi, Ye Li, Dong Liang, Haifeng Wang:
Preliminary Study of Gradient Coils with Variable Gradient Value and Open-Drive Coil in Magnetic Particle Imaging. RCAR 2019: 958-963 - [i10]Ziwen Ke, Shanshan Wang, Huitao Cheng, Leslie Ying, Qiegen Liu, Hairong Zheng, Dong Liang:
CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint. CoRR abs/1901.06111 (2019) - [i9]Shanshan Wang, Huitao Cheng, Leslie Ying, Taohui Xiao, Ziwen Ke, Xin Liu, Hairong Zheng, Dong Liang:
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution. CoRR abs/1906.04359 (2019) - [i8]Jing Cheng, Haifeng Wang, Yanjie Zhu, Qiegen Liu, Hairong Zheng, Leslie Ying, Dong Liang:
Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning. CoRR abs/1906.08143 (2019) - [i7]Dong Liang, Jing Cheng, Ziwen Ke, Leslie Ying:
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks. CoRR abs/1907.11711 (2019) - [i6]Jing Cheng, Haifeng Wang, Leslie Ying, Dong Liang:
Model Learning: Primal Dual Networks for Fast MR imaging. CoRR abs/1908.02426 (2019) - [i5]Siyuan Wang, Junjie Lv, Yuanyuan Hu, Dong Liang, Minghui Zhang, Qiegen Liu:
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction. CoRR abs/1909.01108 (2019) - [i4]Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang:
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI. CoRR abs/1909.10856 (2019) - [i3]Zhuonan He, Jinjie Zhou, Dong Liang, Yuhao Wang, Qiegen Liu:
Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction. CoRR abs/1910.11148 (2019) - [i2]Yanjie Zhu, Ziwen Ke, Jing Cheng, Sen Jia, Yuanyuan Liu, Haifeng Wang, Leslie Ying, Xin Liu, Hairong Zheng, Dong Liang:
An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling. CoRR abs/1912.12177 (2019) - 2018
- [j20]Shanshan Wang, Sha Tan, Yuan Gao, Qiegen Liu, Leslie Ying, Taohui Xiao, Yuanyuan Liu, Xin Liu, Hairong Zheng, Dong Liang:
Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging. IEEE Trans. Medical Imaging 37(1): 251-261 (2018) - [j19]Zhifan Gao, Yanjie Li, Yuanyuan Sun, Jiayuan Yang, Huahua Xiong, Heye Zhang, Xin Liu, Wanqing Wu, Dong Liang, Shuo Li:
Motion Tracking of the Carotid Artery Wall From Ultrasound Image Sequences: a Nonlinear State-Space Approach. IEEE Trans. Medical Imaging 37(1): 273-283 (2018) - [j18]Qiaoyan Chen, Guoxi Xie, Chao Luo, Xing Yang, Jin Zhu, Jo Lee, Shi Su, Dong Liang, Xiaoliang Zhang, Xin Liu, Ye Li, Hairong Zheng:
A Dedicated 36-Channel Receive Array for Fetal MRI at 3T. IEEE Trans. Medical Imaging 37(10): 2290-2297 (2018) - [j17]Biao Xiong, Qiegen Liu, Jiaojiao Xiong, Sanqian Li, Shanshan Wang, Dong Liang:
Field-of-Experts Filters Guided Tensor Completion. IEEE Trans. Multim. 20(9): 2316-2329 (2018) - [c27]Minghui Zhang, Fengqin Zhang, Qiegen Liu, Dong Liang:
Sparse-View CT Reconstruction via Robust and Multi-channels Autoencoding Priors. ISICDM 2018: 55-59 - [i1]Shanshan Wang, Ziwen Ke, Huitao Cheng, Sen Jia, Leslie Ying, Hairong Zheng, Dong Liang:
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training. CoRR abs/1810.00302 (2018) - 2017
- [j16]Qiegen Liu, Shanshan Wang, Dong Liang:
Sparse and dense hybrid representation via subspace modeling for dynamic MRI. Comput. Medical Imaging Graph. 56: 24-37 (2017) - [j15]Ukash Nakarmi, Yanhua Wang, Jingyuan Lyu, Dong Liang, Leslie Ying:
A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI. IEEE Trans. Medical Imaging 36(11): 2297-2307 (2017) - 2016
- [j14]Nian Cai, Weisi Xie, Zhenghang Su, Shanshan Wang, Dong Liang:
Sparse Parallel MRI Based on Accelerated Operator Splitting Schemes. Comput. Math. Methods Medicine 2016: 1724630:1-1724630:14 (2016) - [j13]Pei Dong, Shanshan Wang, Yong Xia, Dong Liang, David Dagan Feng:
Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance. IEEE Trans. Image Process. 25(11): 5035-5049 (2016) - [c26]Shanshan Wang, Zhenghang Su, Leslie Ying, Xi Peng, Shun Zhu, Feng Liang, Dagan Feng, Dong Liang:
Accelerating magnetic resonance imaging via deep learning. ISBI 2016: 514-517 - 2015
- [j12]Jianbo Liu, Shanshan Wang, Xi Peng, Dong Liang:
Undersampled MR Image Reconstruction with Data-Driven Tight Frame. Comput. Math. Methods Medicine 2015: 424087:1-424087:10 (2015) - [j11]Duan-Duan Liu, Dong Liang, Na Zhang, Xin Liu, Yuan-Ting Zhang:
Undersampling trajectory design for compressed sensing based dynamic contrast-enhanced magnetic resonance imaging. J. Electronic Imaging 24(1): 013017 (2015) - [j10]Xi Peng, Dong Liang:
MR Image Reconstruction with Convolutional Characteristic Constraint (CoCCo). IEEE Signal Process. Lett. 22(8): 1184-1188 (2015) - [j9]Qiegen Liu, Peter X. Liu, Weisi Xie, Yuhao Wang, Dong Liang:
GcsDecolor: Gradient Correlation Similarity for Efficient Contrast Preserving Decolorization. IEEE Trans. Image Process. 24(9): 2889-2904 (2015) - [c25]Congzhi Wang, Xi Peng, Dong Liang, Yang Xiao, Weibao Qiu, Ming Qian, Hairong Zheng:
An easily-achieved time-domain beamformer for ultrafast ultrasound imaging based on compressive sensing. EMBC 2015: 7490-7493 - [c24]Xi Peng, Qingyong Zhu, Shanshan Wang, Dong Liang:
Reference guided CS-MRI with gradient orientation priors. EMBC 2015: 7498-7501 - [c23]Shanshan Wang, Xi Peng, Pei Dong, Leslie Ying, David Dagan Feng, Dong Liang:
Parallel imaging via sparse representation over a learned dictionary. ISBI 2015: 687-690 - [c22]Yihang Zhou, Chao Shi, Fuquan Ren, Jingyuan Lyu, Dong Liang, Leslie Ying:
Accelerating MR parameter mapping using nonlinear manifold learning and supervised pre-imaging. ISBI 2015: 897-900 - [c21]Chao Shi, Yihang Zhou, Yanhua Wang, Jingyuan Lyu, Dong Liang, Leslie Ying:
Recovery of parametric manifold from reduced measurements: Application to magnetic resonance parameter mapping. ISBI 2015: 901-904 - 2014
- [j8]Qiegen Liu, Jianbo Liu, Biao Xiong, Dong Liang:
A non-convex gradient fidelity-based variational model for image contrast enhancement. EURASIP J. Adv. Signal Process. 2014: 154 (2014) - [j7]Qiegen Liu, Xi Peng, Jianbo Liu, Dingcheng Yang, Dong Liang:
A Weighted Two-Level Bregman Method with Dictionary Updating for Nonconvex MR Image Reconstruction. Int. J. Biomed. Imaging 2014: 128596:1-128596:23 (2014) - [c20]Xi Peng, Leslie Ying, Xin Liu, Dong Liang:
Accurate T2 mapping with sparsity and linear predictability filtering. ISBI 2014: 161-164 - 2013
- [j6]Nian Cai, Shengru Wang, Shasha Zhu, Dong Liang:
Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation. Comput. Math. Methods Medicine 2013: 160139:1-160139:8 (2013) - [j5]Qiegen Liu, Dong Liang, Ying Song, Jianhua Luo, Yuemin Zhu, Wenshu Li:
Augmented Lagrangian-Based Sparse Representation Method with Dictionary Updating for Image Deblurring. SIAM J. Imaging Sci. 6(3): 1689-1718 (2013) - [j4]Qiegen Liu, Shanshan Wang, Leslie Ying, Xi Peng, Yanjie Zhu, Dong Liang:
Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery. IEEE Trans. Image Process. 22(12): 4652-4663 (2013) - [j3]Qiegen Liu, Shanshan Wang, Kun Yang, Jianhua Luo, Yuemin Zhu, Dong Liang:
Highly Undersampled Magnetic Resonance Image Reconstruction Using Two-Level Bregman Method With Dictionary Updating. IEEE Trans. Medical Imaging 32(7): 1290-1301 (2013) - [c19]Duan-Duan Liu, Dong Liang, Na Zhang, Xin Liu, Yuan-Ting Zhang:
Under-sampling trajectory design for compressed sensing based DCE-MRI. EMBC 2013: 2624-2627 - [c18]Yuqiong Ding, Leslie Ying, Na Zhang, Dong Liang:
Noise behavior of MR brain reconstructions using compressed sensing. EMBC 2013: 5155-5158 - [c17]Qiegen Liu, Leslie Ying, Dong Liang:
An efficient augmented Lagrangian algorithm for graph regularized sparse coding in clustering. ICASSP 2013: 1656-1660 - [c16]Qiegen Liu, Jianbo Liu, Pei Dong, Dong Liang:
SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition. ICCV 2013: 1081-1088 - [c15]Qiegen Liu, Jianbo Liu, Dong Liang:
Adaptive image decomposition via dictionary learning with stuctural incoherence. ICIP 2013: 280-284 - 2012
- [c14]Duan-Duan Liu, Dong Liang, Xin Liu, Yuan-Ting Zhang:
Under-sampling trajectory design for compressed sensing MRI. EMBC 2012: 73-76 - [c13]Yong Wang, Dong Liang, Yuchou Chang, Leslie Ying:
A hybrid total-variation minimization approach to compressed sensing. ISBI 2012: 74-77 - [c12]Yuchou Chang, Kevin F. King, Dong Liang, Yong Wang, Leslie Ying:
A kernel approach to compressed sensing parallel MRI. ISBI 2012: 78-81 - [c11]Haifeng Wang, Dong Liang, Kevin F. King, Leslie Ying:
Three-dimensional hybrid-encoded MRI using compressed sensing. ISBI 2012: 398-401 - [c10]Yihang Zhou, Yuchou Chang, Dong Liang, Leslie Ying:
k-t CSPI: A dynamic MRI reconstruction framework for combining compressed sensing and parallel imaging. ISBI 2012: 410-413 - [c9]Yanjie Zhu, Yin Wu, Yuanjie Zheng, Ed X. Wu, Leslie Ying, Dong Liang:
A model-based method with joint sparsity constraint for direct diffusion tensor estimation. ISBI 2012: 510-513 - [c8]Huajun She, Rong-Rong Chen, Dong Liang, Edward V. R. Di Bella, Leslie Ying:
Simultaneous image reconstruction and sensitivity estimation in parallel MRI using blind compressed sensing. ISBI 2012: 876-879 - 2011
- [c7]Xiang Feng, Guoxi Xie, Shan He, Yiu-Cho Chung, Dong Liang, Xin Liu, Bensheng Qiu:
PSF model simulation study using a cardiac phantom. BMEI 2011: 453-456 - [c6]Yuchou Chang, Dong Liang, Leslie Ying:
A kernel approach to parallel MRI reconstruction. ISBI 2011: 389-392 - [c5]Dong Liang, Edward V. R. Di Bella, Rong-Rong Chen, Leslie Ying:
K-T ISD: Compressed sensing with iterative support detection for dynamic MRI. ISBI 2011: 1264-1267 - [c4]Christopher A. Baker, Kevin F. King, Dong Liang, Leslie Ying:
Translational-invariant dictionaries for compressed sensing in magnetic resonance imaging. ISBI 2011: 1602-1605 - 2010
- [c3]Huajun She, Rang-Rang Chen, Dong Liang, Yuchou Chang, Leslie Ying:
Image reconstruction from phased-array MRI data based on multichannel blind deconvolution. ISBI 2010: 760-763
2000 – 2009
- 2009
- [j2]Dong Liang, Hao F. Zhang, Leslie Ying:
Compressed-sensing Photoacoustic Imaging based on random optical illumination. Int. J. Funct. Informatics Pers. Medicine 2(4): 394-406 (2009) - [c2]Dong Liang, Guangwu Xu, Haifeng Wang, Kevin F. King, Dan Xu, Leslie Ying:
Toeplitz Random Encoding MR Imaging Using Compressed Sensing. ISBI 2009: 270-273 - 2007
- [c1]Dong Liang, Edmund Y. Lam, George S. K. Fung:
Direct Reconstruction of Spiral Mri Using Least Squares Quantization Table. ISBI 2007: 105-108 - 2005
- [j1]Dong Liang, Jie Yang, Zhonglong Zheng, Yuchou Chang:
A facial expression recognition system based on supervised locally linear embedding. Pattern Recognit. Lett. 26(15): 2374-2389 (2005)
Coauthor Index
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