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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.uni-trier.de/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
- Dong Liang 0012 — National Technical University, Kharkiv, Ukraine
Other persons with a similar name
- Liang Dong — disambiguation page
- Xiao-Liang Dong (aka: XiaoLiang Dong, Xiaoliang Dong)
- Liang Dong 0001 — Baylor University, Department of Electrical and Computer Engineering, Waco, TX, USA (and 2 more)
- Liang Dong 0002 — Henan Polytechnic University, School of Computer Science and Technology, Jiaozuo, China
- Dongliang Fan (aka: Dong Liang Fan)
- Liangdong Guo (aka: Liang-Dong Guo) — disambiguation page
- Dong-Liang Lee
- Dong-Shong Liang
- Youdong Liang (aka: You-Dong Liang) — disambiguation page
- Dongliang Peng 0001 (aka: Dong-Liang Peng 0001) — Hangzhou Dianzi University, Institution of Information and Control, Hangzhou, China
- show all similar names
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2020 – today
- 2024
[j79]Jiandong Su, Ce Wang, Yinsheng Li, Dong Liang, Kun Shang:
F2IFlow for CT Metal Artifact Reduction. IEEE Trans. Computational Imaging 10: 1533-1546 (2024)- [j78]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. IEEE J. Biomed. Health Informatics 28(6): 3534-3544 (2024) - [j77]Zhenxing Huang, Wenbo Li, Yaping Wu, Lin Yang, Yun Dong, Yongfeng Yang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu:
Accurate Whole-Brain Image Enhancement for Low-Dose Integrated PET/MR Imaging Through Spatial Brain Transformation. IEEE J. Biomed. Health Informatics 28(9): 5280-5289 (2024) - [j76]Wenjie Zhao, Zhenxing Huang, Si Tang, Wenbo Li, Yunlong Gao, Yingying Hu, Wei Fan, Chuanli Cheng, Yongfeng Yang, Hairong Zheng, Dong Liang, Zhanli Hu:
MMCA-NET: A Multimodal Cross Attention Transformer Network for Nasopharyngeal Carcinoma Tumor Segmentation Based on a Total-Body PET/CT System. IEEE J. Biomed. Health Informatics 28(9): 5447-5458 (2024) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]Yinsheng Li, Juan Feng, Jun Xiang, Zixiao Li, Dong Liang:
AIRPORT: A Data Consistency Constrained Deep Temporal Extrapolation Method To Improve Temporal Resolution In Contrast Enhanced CT Imaging. IEEE Trans. Medical Imaging 43(4): 1605-1618 (2024) - [j70]Chentao Cao, Zhuo-Xu Cui, Yue Wang, Shaonan Liu, Taijin Chen, Hairong Zheng, Dong Liang, Yanjie Zhu:
High-Frequency Space Diffusion Model for Accelerated MRI. IEEE Trans. Medical Imaging 43(5): 1853-1865 (2024) - [j69]Zhenguo Wang, Yaping Wu, Zeheng Xia, Xinyi Chen, Xiaochen Li, Yan Bai, Yun Zhou, Dong Liang, Hairong Zheng, Yongfeng Yang, Shanshan Wang, Meiyun Wang, Tao Sun:
Non-Invasive Quantification of the Brain [¹⁸F]FDG-PET Using Inferred Blood Input Function Learned From Total-Body Data With Physical Constraint. IEEE Trans. Medical Imaging 43(7): 2563-2573 (2024) - [j68]Dong Liang, Daniel Rueckert, Ge Wang, Tolga Çukur, Hengyong Yu:
Editorial. IEEE Trans. Medical Imaging 43(10): 3393-3397 (2024) - [j67]Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Haifeng Wang, Yanjie Zhu, Yihang Zhou, Jianping Zhang, Qiegen Liu, Dong Liang:
Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion. IEEE Trans. Medical Imaging 43(10): 3503-3520 (2024) - [c56]Jingyi Ren, Kun Shang, Qiyu Jin, Caiying Wu, Dong Liang:
Escape the Corrupted Lines by a Learning Sampling Pattern for MRI Reconstruction. CMLDS 2024: 53:1-53:6 - [c55]Hongyu Li, Qiao Liu, Xuhao Dong, Zhongren Guo, Kunyang Wang, Shengping Liu, Qi Liu, Yongquan Ye, Yichen Hu, Zheng Zhong, Hui Liu, Yanjie Zhu, Haifeng Wang, Dong Liang, Jian Xu, Yihang Zhou:
Robust Cardiac T1 Mapping in Three Heartbeats With UltraMAP: A Synergistic CNN-FC Approach. ISBI 2024: 1-4 - [c54]Ling Lin, Yihang Zhou, Zhanqi Hu, Dian Jiang, Congcong Liu, Shuo Zhou, Yanjie Zhu, Jianxiang Liao, Dong Liang, Hairong Zheng, Haifeng Wang:
Pediatric TSC-Related Epilepsy Classification from Clinical Mr Images Using Quantum Neural Network. ISBI 2024: 1-5 - [c53]Ye Liu, Zhuo-Xu Cui, Kaicong Sun, Ting Zhao, Jing Cheng, Yuliang Zhu, Dinggang Shen, Dong Liang:
k-t Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging. MICCAI (7) 2024: 414-424 - [c52]Yuliang Zhu, Jing Cheng, Zhuo-Xu Cui, Jianfeng Ren, Chengbo Wang, Dong Liang:
SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging. MICCAI (7) 2024: 679-689 - [i57]Zeyu Zhang, Yuanshen Zhao, Jingxian Duan, Yaou Liu, Hairong Zheng, Dong Liang, Zhenyu Zhang, Zhi-Cheng Li:
Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis. CoRR abs/2404.08023 (2024) - [i56]Mengxiao Geng, Jiahao Zhu, Xiaolin Zhu, Qiqing Liu, Dong Liang, Qiegen Liu:
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models. CoRR abs/2405.05763 (2024) - [i55]Taofeng Xie, Zhuo-Xu Cui, Congcong Liu, Chen Luo, Huayu Wang, Yuanzhi Zhang, Xuemei Wang, Yihang Zhou, Qiyu Jin, Guoqing Chen, Dong Liang, Haifeng Wang:
Joint PET-MRI Reconstruction with Diffusion Stochastic Differential Model. CoRR abs/2408.11840 (2024) - [i54]Ling Lin, Yihang Zhou, Zhanqi Hu, Dian Jiang, Congcong Liu, Shuo Zhou, Yanjie Zhu, Jianxiang Liao, Dong Liang, Hairong Zheng, Haifeng Wang:
Pediatric TSC-Related Epilepsy Classification from Clinical MR Images Using Quantum Neural Network. CoRR abs/2408.12615 (2024) - [i53]Qiaoxin Li, Ruifeng Chen, Peng Wang, Guotao Quan, Yanfeng Du, Dong Liang, Yinsheng Li:
Sequential-Scanning Dual-Energy CT Imaging Using High Temporal Resolution Image Reconstruction and Error-Compensated Material Basis Image Generation. CoRR abs/2408.14754 (2024) - [i52]Yuliang Zhu, Jing Cheng, Zhuo-Xu Cui, Jianfeng Ren, Chengbo Wang, Dong Liang:
SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging. CoRR abs/2409.08537 (2024) - [i51]Shuo Zhou, Yihang Zhou, Congcong Liu, Yanjie Zhu, Hairong Zheng, Dong Liang, Haifeng Wang:
Quantum Neural Network for Accelerated Magnetic Resonance Imaging. CoRR abs/2410.09406 (2024) - [i50]Chiyi Huang, Longwei Sun, Dong Liang, Haifeng Liang, Hongwu Zeng, Yanjie Zhu:
RS-MOCO: A deep learning-based topology-preserving image registration method for cardiac T1 mapping. CoRR abs/2410.11651 (2024) - 2023
- [j66]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) - [j65]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) - [j64]Xianfan Gu, Yu Zhang, Wen Zeng, Sihua Zhong, Haining Wang, Dong Liang, Zhenlin Li, Zhanli Hu:
Cross-modality image translation: CT image synthesis of MR brain images using multi generative network with perceptual supervision. Comput. Methods Programs Biomed. 237: 107571 (2023) - [j63]Wenxia Wu, Jing Yan, Yuanshen Zhao, Qiuchang Sun, Huailing Zhang, Jingliang Cheng, Dong Liang, Yinsheng Chen, Zhenyu Zhang, Zhicheng Li:
Multi-task learning for concurrent survival prediction and semi-supervised segmentation of gliomas in brain MRI. Displays 78: 102402 (2023) - [j62]Huixia You, Jiankai Zhang, Yuanshen Zhao, Tong Mo, Diangang Fang, Xiaofei Lv, Zhicheng Li, Haifeng Wang, Dong Liang, Hongwu Zeng, Yinsheng Chen:
Riskformer: Survival prediction from MR imaging in patients with IDH-wildtype glioblastoma. Displays 79: 102493 (2023) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [c51]Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Jun Li, Dong Liang, Haifeng Wang:
Developing a Dynamic Graph Network for Interpretable Analysis of Multi-Modal MRI Data in Parkinson's Disease Diagnosis. EMBC 2023: 1-4 - [c50]Wenxia Wu, Jing Yan, Dong Liang, Zhenyu Zhang, Zhicheng Li:
Semi-supervised Medical Image Segmentation with Multiscale Contrastive Learning and Cross-Supervision. EMBC 2023: 1-4 - [c49]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 - [c48]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 - [i49]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) - [i48]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) - [i47]Taofeng Xie, Chentao Cao, Zhuoxu Cui, Yu Guo, Caiying Wu, Xuemei Wang, Qingneng Li, Zhanli Hu, Tao Sun, Ziru Sang, Yihang Zhou, Yanjie Zhu, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang:
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model. CoRR abs/2305.03901 (2023) - [i46]Dong Liang, Xingyu Qiu, Kuanquan Wang, Gongning Luo, Wei Wang, Yashu Liu:
Unsupervised Decomposition Networks for Bias Field Correction in MR Image. CoRR abs/2307.16219 (2023) - [i45]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) - [i44]Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Yihang Zhou, Haifeng Wang, Yanjie Zhu, Jianping Zhang, Qiegen Liu, Dong Liang:
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation. CoRR abs/2308.15918 (2023) - [i43]Yu Guan, Chuanming Yu, Shiyu Lu, Zhuoxu Cui, Dong Liang, Qiegen Liu:
Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction. CoRR abs/2309.00853 (2023) - [i42]Huayu Wang, Chen Luo, Taofeng Xie, Qiyu Jin, Guoqing Chen, Zhuo-Xu Cui, Dong Liang:
Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems. CoRR abs/2309.09250 (2023) - [i41]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) - [i40]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) - [i39]Taofeng Xie, Zhuo-Xu Cui, Chen Luo, Huayu Wang, Congcong Liu, Yuanzhi Zhang, Xuemei Wang, Yanjie Zhu, Qiyu Jin, Guoqing Chen, Yihang Zhou, Dong Liang, Haifeng Wang:
Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction. CoRR abs/2311.14473 (2023) - 2022
- [j53]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) - [j52]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) - [j51]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) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [c47]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 - [c46]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 - [i38]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) - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]Dong Liang, Jun Liu, Kuanquan Wang, Gongning Luo, Wei Wang, Shuo Li:
Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation. CoRR abs/2206.10286 (2022) - [i31]Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu:
High-Frequency Space Diffusion Models for Accelerated MRI. CoRR abs/2208.05481 (2022) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]Zhuo-Xu Cui, Qingyong Zhu, Jing Cheng, Dong Liang:
Deep unfolding as iterative regularization for imaging inverse problems. CoRR abs/2211.13452 (2022) - [i23]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) - [i22]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
- [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [c45]Wei Wang, Yanjie Zhu, Zhuoxu Cui, Dong Liang:
Is Each Layer Non-trivial in CNN? (Student Abstract). AAAI 2021: 15915-15916 - [c44]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 - [i21]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) - [i20]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) - [i19]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) - [i18]Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang:
MRI Reconstruction Using Deep Energy-Based Model. CoRR abs/2109.03237 (2021) - [i17]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) - [i16]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
- [j32]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) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [j24]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) - [c43]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 - [c42]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 - [i15]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) - [i14]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) - [i13]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) - [i12]Wei Wang, Zhuoxu Cui, Dong Liang:
Is each layer non-trivial in CNN? CoRR abs/2009.09938 (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
- [j23]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) - [j22]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) - [c41]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 - [c40]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 - [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]Zhi-Cheng Li, Guangyu Wu, Jinheng Zhang, Zhongqiu Wang, Guiqin Liu, Dong Liang:
Towards an Interpretable Radiomics Model for Classifying Renal Cell Carcinomas Subtypes: A Radiogenomics Assessment. ISBI 2019: 1288-1292 - [c34]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 - [c33]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 - [c32]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 - [c31]Jing Cheng, Haifeng Wang, Leslie Ying, Dong Liang:
Model Learning: Primal Dual Networks for Fast MR Imaging. MICCAI (3) 2019: 21-29 - [c30]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 - [c29]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
- [j21]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) - [j20]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) - [j19]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) - [j18]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) - [c28]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
- [j17]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) - [j16]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
- [j15]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) - [j14]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) - [c27]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
- [j13]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) - [j12]Qi Liu, Wei Wang, Dong Liang, Xianpeng Wang:
Real-Valued Reweighted l1 Norm Minimization Method Based on Data Reconstruction in MIMO Radar. IEICE Trans. Commun. 98-B(11): 2307-2313 (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) - [c26]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 - [c25]Xi Peng, Qingyong Zhu, Shanshan Wang, Dong Liang:
Reference guided CS-MRI with gradient orientation priors. EMBC 2015: 7498-7501 - [c24]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 - [c23]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 - [c22]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) - [c21]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) - [c20]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 - [c19]Yuqiong Ding, Leslie Ying, Na Zhang, Dong Liang:
Noise behavior of MR brain reconstructions using compressed sensing. EMBC 2013: 5155-5158 - [c18]Qiegen Liu, Leslie Ying, Dong Liang:
An efficient augmented Lagrangian algorithm for graph regularized sparse coding in clustering. ICASSP 2013: 1656-1660 - [c17]Qiegen Liu, Jianbo Liu, Pei Dong, Dong Liang:
SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition. ICCV 2013: 1081-1088 - [c16]Qiegen Liu, Jianbo Liu, Dong Liang:
Adaptive image decomposition via dictionary learning with stuctural incoherence. ICIP 2013: 280-284 - 2012
- [c15]Duan-Duan Liu, Dong Liang, Xin Liu, Yuan-Ting Zhang:
Under-sampling trajectory design for compressed sensing MRI. EMBC 2012: 73-76 - [c14]Yong Wang, Dong Liang, Yuchou Chang, Leslie Ying:
A hybrid total-variation minimization approach to compressed sensing. ISBI 2012: 74-77 - [c13]Yuchou Chang, Kevin F. King, Dong Liang, Yong Wang, Leslie Ying:
A kernel approach to compressed sensing parallel MRI. ISBI 2012: 78-81 - [c12]Haifeng Wang, Dong Liang, Kevin F. King, Leslie Ying:
Three-dimensional hybrid-encoded MRI using compressed sensing. ISBI 2012: 398-401 - [c11]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 - [c10]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 - [c9]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
- [c8]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 - [c7]Yuchou Chang, Dong Liang, Leslie Ying:
A kernel approach to parallel MRI reconstruction. ISBI 2011: 389-392 - [c6]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 - [c5]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
- [c4]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) - [c3]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
- [c2]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) - [c1]Dong Liang, Jie Yang, Jin-jun Lu, Yuchou Chang:
Image Retrieval Using Weighted Color Co-occurrence Matrix. BNCOD 2005: 161-165
Coauthor Index
Zhuo-Xu Cui
aka: Zhuoxu Cui
aka: Zhuoxu Cui
[j78] [j70] [j67] [c55] [c54] [i54] [i51] [i50] [j61] [j60] [j58] [j56] [j54] [c51] [c49] [i49] [i48] [i47] [i45] [i44] [i40] [i39] [c47] [c46] [i33] [i31] [i30] [i28] [i25] [i22] [j40] [j38] [j36] [j35] [j33] [c45] [c44] [i21] [i20] [i17] [i16] [j31] [j28] [i14] [i11] [c41] [c40] [c37] [i8] [i2] [j4] [c10]
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