2019年10月，梁栋研究员应邀在MICCAI-MLMIR workshop做 keynote talk。
2019年6月，梁栋研究员应邀在University of Wisconsin-Madison做题为“Deep Fast MR Imaging”的学术报告
H Zhao#, Z Ke#, N Chen#, S Wang, K Li, L Wang, X Gong, W Zheng, L Song,Z Liu*, D Liang,*, C Liu, "A new deep learning method for image deblurring in optical microscopic systems", Journal of Biophotonics, DOI: 10.1002/jbio.201960147, 2019.
D Liang, J Cheng, Z Ke, L Ying, Deep MRI Reconstruction: Inverse Problems Meet Neural Networks, IEEE SIgnal Processing Magazine, 37(1):141-151, 2020.
Y. Liu, Q. Liu, M. Zhang, Q. Yang, S. Wang and D. Liang, “IFR-Net: Iterative Feature Refinement Net-work for Compressed Sensing MRI,” IEEE Transactions on Computational Imaging, 6(1):434-446, 2020.
Y Zhu, Y Liu, L Ying, X Peng, Y J Wang, X Liu, D Liang, “Bio-SCOPE: Fast bi-exponentialT1ρ mapping of the brain using signal-compensated low-rank plus sparse matrixdecomposition”, Magnetic Resonance in Medicine, 83:2092-2106, 2020.
H Wang, D Liang, S Su, K King, Y Chang, X Liu, H Zheng, L Ying. Improved Gradient-echo 3D Magnetic Resonance Imaging Using Compressed Sensing and Toeplitz Encoding with Phase-Scrambled RF Excitation, Medical physics, in press, 2019.
H Wang, Z Qiu, S Su, S Jia,Y Li, X Liu, H Zheng, D Liang,Parameter Optimization Framework on Wave Gradients of WaveCAIPI Imaging. Magnetic Resonance in Medicine.83(5):1659-1672, 2020.
Q Liu, Q Yang, H Cheng, S Wang, M Zhang, D Liang, Highly undersampled magnetic resonance imaging reconstruction using autoencoding prior,Magnetic Resonance in Medicine, 83： 322-336, 2020
S. Li, B. Qin, J. Xiao, Q. Liu, Y. Wang and D. Liang, "Multi-channel and Multi-model based Autoencoding Prior for Grayscale Image Restoration," IEEE Transactions on Image Processing. 29:142-156, 2019
Sen Jia, Lei Zhang, Lijie Ren, Yulong Qi, Jinhao Ly, Na Zhang, Ye Li, Xin Liu, Hairong Zheng, Dong Liang, Yiu-cho Chung, Joint intracranial and carotid vessel wall imaging in 5 minutes using compressed sensing accelerated DANTE-SPACE, European Radiology, , 30(1), pp 119–127
- Haifeng Wang#, Sen Jia#, Yuchou Chang, Yanjie Zhu, Chao Zou, Ye Li, Xin Liu, Hairong Zheng, Dong Liang*. Improving GRAPPA reconstruction using joint nonlinear kernel mapped and phase conjugated virtual coils. Physics in Medicine & Biology, https://doi.org/10.1088/1361-6560/ab274d,2019
- ShanshanWang#, Ziwen Ke#, Huitao Cheng, Sen Jia, Leslie Ying, Hairong Zheng, DongLiang. DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training, NMR in Biomedicine: 2019, DOI:10.1002/nbm.4131
Caiyun Shi#, Jing Cheng#, Guoxi Xie,Shi Su, Yuchou Chang, Hanwei Chen, Xin Liu,Haifeng Wang* , Dong Liang, "Positive Contrast Susceptibility Imaging Based on First-order Primal-dualOptimization",Magnetic Resonance in Medicine, DOI: 10.1002/mrm.27791, 2019
Zhanli Hu#, Changhui Jiang#,Fengyi Sun, Qiyang Zhang, Yongshuai Ge, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, “Artifact correction in low-dose dental CT imaging using wasserstein generative adversarial networks”,Medical Physics, 2019. https://doi.org/10.1002/mp 134
Ye Li, Jo Lee, Lei Zhang, Qiaoyan Chen, Changjun Tie, Chao Luo, Xiaoliang Zhang, Dong Liang, Xin Liu, Hairong Zheng, Design and testing of a 24-channel head coil forMR imaging at 3 T, Magnetic Resonance Imaging, 58:162-173, 2019
Zhi-Cheng Li, Hongmin Bai, QiuchangSun, Yuanshen Zhao, Yanchun Lv, Jian Zhou, Chaofeng Liang, Yinsheng Chen, DongLiang, Hairong Zheng. Multiregional Radiomics Profiling from Multiparametric MRI: Identifying an Imaging Predictor of IDH1 Mutation Status in Glioblastoma.Cancer Medicine. 2018.
Zhi-Cheng Li, Guangtao Zhai, JinhengZhang, Zhongqiu Wang, Guiqin Liu, Guangyu Wu, Dong Liang, Hairong Zheng. Differentiationof Clear Cell and Non-Clear Cell Renal Cell Carcinomas by All-Relevant Radiomics Features from Multiphase CT: A VHL Mutation Perspective. EuropeanRadiology. 2018.
Ge, Yongshuai; Zhang, Qiyang; Hu, Zhanli; Chen, Jianwei; Shi, Wei; Zheng, Hairong; Liang, Dong，“Deconvolution-Based Backproject-Filter (BPF) Computed Tomography Image Reconstruction Method Using Deep Learning Technique”.eprint arXiv:1807.01833,2018
- Yanjie Zhu, Yuanyuan Liu ,Leslie Ying, Xi Peng, Yi-Xiang J Wang, Xin Liu, Dong Liang,SCOPE: signal compensation for low-rank plus sparse matrix decomposition for fast parameter mapping,Physics in Medicine & Biology,2018.https://doi.org/10.1088/1361-6560/aadb09
Yuhong Peng(#), Chao Zou(#), Yangzi Qiao, Changjun Tie, Qian Wan, Rui Jiang, Chuanli Cheng, Dong Liang, Faqi Li(*), Xin Liu(*), Hairong Zheng. Fast MR thermometry using an echo-shifted sequence with simultaneous multi-slice imaging. Magnetic Resonance Materials in Physics, Biology and Medicine. DOI: 10.1007/s10334-018-0692-x
Cheng Chuanli(#), Zou Chao(#), Wan Qian, Qiao Yangzi, Pan Min, Tie Changjun, Liang Dong, Zheng Hairong(*), and Liu Xin. Dual-step iterative temperature estimation method for accurate and precise fat-referenced PRFS temperature imaging. Magnetic Resonance in MedicineDOI: 10.1002/mrm.27396
Yangzi Qiao(#), Chao Zou(#), Chuanli Cheng, Qian Wan, Changjun Tie, Dong Liang, Hairong Zheng, Xin Liu(*), Yiu-Cho Chung. Diffusion Effect on T2 relaxometry in trip-echo steady state free precession sequence. Journal of Magnetic Resonance, 2018, 292: 25-35.
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 recieve array for fetal MRI at 3T, IEEE Trans. Medical Imaging, 37：2290-2297, 2018.
Congbo Cai; Chao Wang; Yiqing Zeng; Shuhui Cai; Dong Liang; YawenWu; Zhong Chen ; Xinghao Ding; Jianhui Zhong, Single-Shot T2 Mapping using OverLapping-EchoDetachment Planar Imaging and a Deep convolutionalNeural Network, Magnetic Resonance in Medicine, 80:2201-2214, 2018
Biao Xiong, Qiegen Liu, Member, Jiaojiao Xiong, Sanqian Li,Shanshan Wang, Dong Liang, Field-of-Experts Filters Guided Tensor Completion, IEEE Trans. Multimedia. 20:2316-2329, 2018
Dr. Dong Liang was invited to join the Editorial Board of Magnetic Resonance in Medicine (2018-2020)
Jing Cheng, Sen Jia, Leslie Ying, Yuanyuan Liu, Shanshan Wang, Yanjie Zhu,Ye Li, Chao Zou, Xin Liu, Dong Liang, Improved ParallelImage Reconstruction via Feature Refinement, Magnetic Resonance in Medicine, 2017, DOI:10.1002/mrm.27024
Dr. Yanjie Zhu received a four-year grant of general program from the National Natural Science Foundation of China. Congratulations!
Zhifan Gao, Yanjie Li, Yuanyuan Sun, Jiayuan Yang, Huahua Xiong,
Heye Zhang, Xin Liu, Wanqing Wu, Dong Liang and 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
Shanshan Wang, Sha Tan, Yuan Gao, Qiegen Liu, Leslie Ying, Taohui Xiao, Yuanyuan Liu, Xin Liu, Hairong Zheng, and Dong Liang, Learning joint-sparse codes for calibration-free
parallel MR imaging (LINDBERG), IEEE Trans. Medical Imaging, 37(1):251-261, 2018
Zhanli Hu,Juan Gao, Na Zhang, YongfengYang, Xin Liu, Hairong Zheng,Dong Liang, An improved statistic aliterative algorithm for sparse-view and limited-angle CT imagereconstruction, Scientific Report, Article number: 10747, 2017
Hui Liu，Yuanjie Zheng，Dong Liang ,Pinpin Tang，Fuquan Ren， Lina Zhang，Weizuo Zhao, Total variationbased DCE-MRI decomposition by separating lesion from background fortime-intensity curve estimation, Medical Physics, 44(6):2321-2331,2017.
Ukash Nakanmi, 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
Our paper ‘Iterative feature refinement for accurate undersampled MR image reconstruction’ has been selected for inclusion in the Physics in Medicine & Biology Highlights of 2016,
Qiegen Liu, Shanshan Wang, Dong Liang*, Sparse and Dense Hybrid Representation via Subspace Modeling for Dynamic MRI, Computerized Medical Imaging and Graphics, 56:24-37, 2017)
Dr. Dong Liang was elected as the member of IEEE Computational Imaging Special Interest Group (CI SIG).
Yanjie Zhu, Xi Peng, Yin Wu, Ed X.Wu, Leslie Ying, Xin Liu, Hairong Zheng, Dong Liang*, Direct Diffusion Tensor Estimation Using Model-Based Method with Spatial and Parametric Constraints, Medical Physics, 44(2):570-580, 2017.
Dr. Xi Peng received a four-year grant of general program from the National Natural Science Foundation of China. Congratulations!
Dr. Shanshan Wang received a three-year grant for young scientists from the National Natural Science Foundation of China. Congratulations!
Zhanli Hu, Qiegen Liu, Na Zhang, Yunwan Zhang, Xi Peng, Peter Wu, Hairong Zheng, Dong Liang, “Image reconstructionfrom few-view CT data by gradient-domain dictionary learning”, Journal of X-ray Science and Technology, 24: 627-638, 2016.
Zhanli Hu, Yunwan Zhang, Jianbo Liu, Jianhua Ma, Hairong Zheng, Dong Liang, “ A feature refinement approach for statistical interior CT reconstruction.”, Physics in Medicine and Biology, 2016;61(14):5311-5334.
Shanshan Wang#, Jianbo Liu#, Qiegen Liu, LeslieYing, Xin Liu, Hairong Zheng, Dong Liang, “ Iterative Feature Refinement for accurate Undersampled MR Image Reconstruction”, Physics in Medicine and Biology, 2016;61(9):3291-3316. Featured Article
Dr. Xi Peng was promoted to be an Associate professor, and Dr. Yanjie Zhu was promoted to be an Senior Engineer, Congratulations!
Xi Peng, Leslie Ying, Yuanyuan Liu, Jing Yuan, Xin Liu, Dong Liang, "Accelerated Exponential Parameterization of T2 Relaxation with Model-Driven Low Rank and Sparsity Priors (MORASA)", Magnetic Resonance in Medicine, Accepted.
Qiegen Liu, Xiaoping Liu, Weisi Xie, Yuhao Wang, Dong Liang. "GcsDecolor: Gradient Correlation Similarity for Efficient Contrast Preserving Decolorization," IEEE Transactions on Image Processing. Accepted.
Yihang Zhou, Prachi Pandit, Valentina Pedoia, Julien Rivoire, Yanhua Wang, Dong Liang, Xiaojuan Li, Leslie Ying. “Accelerating T1ρCartilage Imaging Using Compressed Sensing with Iterative Locally AdaptedSupport Detection and JSENSE,” Magnetic Resonance in Medicine. Accepted.
Dr. Xi Peng and Shanshan Wang were awarded ISMRM E. K. ZavoiskyStipend, Congratulations!
Dr. Dong Liang was invited to be an Associate Editor of IEEE Transactions on Medical Imaging (IEEE-TMI) http://www.ieee-tmi.org/
Dr. Dong Liang was invited to join the editorial board of Quantitative Imaging in Medicine and Surgery(QIMS) http://www.amepc.org/qims
Dr. Dong Liang received a four-year grant of general program from the National Natural Science Foundation of China. Congratulations!
Dr. Yanjie Zhu received a three-year grant for young scientists from the National Natural Science Foundation of China. Congratulations!
Dr. Dong Liang's application for the IEEE senior membership has been approved.
Xi Peng, Xin Liu, Hairong Zheng, Dong Liang. “Exploiting Parameter Sparsity in Model-based Reconstruction to Accelerate Proton Density and T2 Mapping,” Medical Engineering & Physics. doi:10.1016/j.medengphy.2014.06.002.
Dr. Shanshan Wang join the group, welcome!
Dr. Xi Peng was awarded ISMRM E. K. Zavoisky Stipend, Congratulations!
Xi Peng, Leslie Ying, Qiegen Liu, Yanjie Zhu, Yuanyuan Liu, Xiaobo Qu, Xin Liu, Hairong Zheng, Dong Liang. “ Incorporating Reference in Parallel Imaging and Compressed Sensing, ” Magnetic Resonance in Medicine , doi: 10.1002/mrm.25272, 2014
Zhanli Hu, Dong Liang*, Dan Xia, Hairong Zheng, “Compressive Sampling in Computed Tomography: Method and Application”, Nuclear Instruments and Methods in Physics Research Section A, 748, pp.26-32, 2014.
Xi Peng, Leslie Ying , XinLiu, Dong Liang, "AccurateT2 Mapping with Sparisty and Linear Predictability Filtering", ISMRM2014,Traditional Poster
Mr. Jianbo Liu was awarded National Scholarship for Graduate Students, Congratulations!
Yanjie Zhu+, Qinwei Zhang+,Qiegen Liu, Yi-Xiang J Wang, Xin Liu, Hairong Zheng, Dong Liang*, Jing Yuan, “PANDA-T1rho: Integrating Principal Component Analysis and Dictionary Learning for Fast T1rho mapping”, Magnetic Resonance in Medicine , doi:10.1002/mrm.25130, 2014
Nian Cai, Shengru Wang,Shasha Zhu, Dong Liang*,"Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation", Computational and Mathematical Methods in Medicine, vol. 2013, Article ID 160139, 8 pages, 2013. doi:10.1155/2013/160139
Qiegen Liu, Jianbo Liu, Pei Dong, Dong Liang*, "SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition", IEEE Int. Conf. on Computer Vision (ICCV) 2013, accepted
Dr. Qiegen Liu received a four-year grant from the National Natural Science Foundation of China. Congratulations!
Dr. Xi Peng received a three-year grant from the National Natural Science Foundation of China. Congratulations!
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