梁栋-中国科学院大学-UCAS

基本信息

梁栋男博导中国科学院深圳先进技术研究院
电子邮件： dong.liang@siat.ac.cn
通信地址：中国科学院深圳先进技术研究院劳特伯生物医学成像研究中心
邮政编码： 518055

研究领域

生物医学工程

招生信息

招生专业

081104-模式识别与智能系统
083100-生物医学工程
081002-信号与信息处理

招生方向

机器学习
生物医学成像
压缩感知，稀疏表达

教育背景

2002-09--2006-03   上海交通大学   博士
1999-09--2002-06   合肥工业大学   硕士
1994-09--1998-07   合肥工业大学   学士

学历

研究生

学位

博士

工作经历

工作简历

2015-01~现在, 中国科学院深圳先进技术研究院, 研究员
2011-04~2015-01,中国科学院深圳先进技术研究院, 副研究员
2007-11~2011-04,美国威斯康星大学密尔沃基分校, 博士后、research scientist
2006-07~2007-08,香港大学, 博士后
1998-07~1999-09,合肥工业大学, 研究生辅导员

社会兼职

2018-01-01-今,Magnetic Resonance in Medicine Editoral Board Member,
2017-07-01-今,中华医学会放射学分会磁共振专委会物理与工程学组, 委员
2016-09-30-今,IEEE Computational Imaging Special Interest Group Member, Member
2014-10-01-今,IEEE Transactions on Medical Imaging (IEEE-TMI) Associate Editor,
2014-08-09-今,Quantitative Imaging in Medicine and Surgery Editorial Board Member,
2014-07-15-今,中国生物医学工程学会青年工作委员会副主任委员,
2012-06-11-今,深圳市科技评审专家,
2012-03-16-今,国家自然科学基金评审专家,
2012-03-16-今,广东省自然科学基金评审专家,

专利与奖励

奖励信息

（1）中国生物医学工程“黄家驷”科技进步奖, 一等奖, 部委级, 2019
（2）中国专利优秀奖, , 国家级, 2018
（3）广东省技术发明奖, 一等奖, 省级, 2018
（4）王天眷波谱学奖, 其他, 2018
（5）深圳市技术发明奖, 一等奖, 省级, 2018
（6）中国科学院科技促进发展奖, 二等奖, 部委级, 2015

专利成果

（ 1 ）磁共振成像采样轨迹优化方法, 发明, 2012, 第 1 作者, 专利号: 201210390285.5
（ 2 ）一种无需重建图像的磁共振参数重建方法, 发明, 2011, 第 1 作者, 专利号: 201110412080.8
（ 3 ）压缩感知重建图像的噪声分析, 发明, 2011, 第 1 作者, 专利号: 201110412267.8
（ 4 ）一种稀疏采样的磁共振成像方法和装置, 发明, 2011, 第 1 作者, 专利号: 201110406392.8
（ 5 ）一种基于k-t ISD的快速MRI参数匹配方法, 发明, 2011, 第 1 作者, 专利号: 201110406397.0
（ 6 ）基于k-t ISD压缩感知技术的动态对比度增强磁共振成像, 发明, 2011, 第 1 作者, 专利号: 201110411985.3
（ 7 ）一种磁共振参数匹配方法、装置及处理设备, 发明, 2012, 第 1 作者, 专利号: 201210587207.4
（ 8 ）压缩感知磁共振快速成像方法, 发明, 2012, 第 1 作者, 专利号: 201210547893.2
（ 9 ）基于机器学习的并行磁共振成像GRAPPA方法, 发明, 2012, 第 1 作者, 专利号: 201210288373.4
（ 10 ）一种磁共振并行成像方法及磁共振成像仪, 发明, 2012, 第 1 作者, 专利号: 201210430443.5
（ 11 ）一种磁共振成像快速重建系统及方法, 发明, 2012, 第 1 作者, 专利号: 201210528546.5
（ 12 ）磁共振快速成像的方法, 发明, 2012, 第 1 作者, 专利号: 201210528522.X
（ 13 ）磁共振快速成像方法及其系统, 发明, 2013, 第 1 作者, 专利号: 201310390916.8
（ 14 ）磁共振动态成像方法及系统, 发明, 2014, 第 1 作者, 专利号: 201210098783.2
（ 15 ）一种磁共振参数重建方法及系统, 发明, 2014, 第 1 作者, 专利号: 201210108964.9
（ 16 ）磁共振参数成像方法、装置、医学设备及存储介质, 发明, 2018, 第 3 作者, 专利号: CN201810145141.0
（ 17 ）一种磁共振参数成像方法、装置、设备及存储介质, 发明, 2018, 第 3 作者, 专利号: CN201810145370.2
（ 18 ）一种磁共振动态成像方法、装置及可读介质, 发明, 2018, 第 1 作者, 专利号: CN201810132873.6
（ 19 ）一种新型的非线性并行重建的磁共振成像方法、装置及介质, 发明, 2018, 第 2 作者, 专利号: CN201810132444.9
（ 20 ）一种Wave-CAIPI磁共振成像参数的解析优化方法、装置及介质, 发明, 2018, 第 3 作者, 专利号: CN201810127954.7
（ 21 ）一种基于分数阶模型的磁共振指纹成像方法、装置及介质, 发明, 2018, 第 2 作者, 专利号: CN201810127489.7
（ 22 ）一种三维磁共振成像重建方法、装置、应用及可读介质, 发明, 2017, 第 1 作者, 专利号: CN201711429290.1
（ 23 ）基于两层紧框架稀疏模型的并行磁共振成像方法、装置及计算机可读介质, 发明, 2017, 第 2 作者, 专利号: CN201711334939.1
（ 24 ）一种基于自适应联合稀疏编码的并行磁共振成像方法、装置及计算机可读介质, 发明, 2017, 第 2 作者, 专利号: CN201711246873.0

出版信息

发表论文

[1] Liang, Dong, Peng, Xiaoting, Hu, Yuyao, Zhao, Fu, Zheng, Shanshan, Situ, Guohai, Liu, Jun. Light-sheet light-field fluorescence microscopy. OPTICS AND LASERS IN ENGINEERING[J]. 2022, 153: [2] Liang, Dong, Peng, Xiaoting, Hu, Yuyao, Zhao, Fu, Zheng, Shanshan, Situ, Guohai, Liu, Jun. Light-sheet light-field fluorescence microscopy. OPTICS AND LASERS IN ENGINEERING[J]. 2022, 153: [3] Su, Shi, Qiu, Zhilang, Luo, Chao, Shi, Caiyun, Wan, Liwen, Zhu, Yanjie, Li, Ye, Liu, Xin, Zheng, Hairong, Liang, Dong, Wang, Haifeng. Accelerated 3D bSSFP Using a Modified Wave-CAIPI Technique With Truncated Wave Gradients. IEEE TRANSACTIONS ON MEDICAL IMAGING[J]. 2021, 40(1): 48-58, http://dx.doi.org/10.1109/TMI.2020.3021737.
[4] Zhu, Tingting, Ren, Lijie, Zhang, Lei, Shao, Yinghui, Wan, Liwen, Li, Ye, Liang, Dong, Zheng, Hairong, Liu, Xin, Zhang, Na. Comparison of plaque characteristics of small and large subcortical infarctions in the middle cerebral artery territory using high-resolution magnetic resonance vessel wall imaging. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY[J]. 2021, 11(1): 57-66, http://dx.doi.org/10.21037/qims-20-310.
[5] Liang, Dong, Guo, Huadong, Zhang, Lu, Cheng, Yun, Zhu, Qi, Liu, Xuting. Time-series snowmelt detection over the Antarctic using Sentinel-1 SAR images on Google Earth Engine. REMOTE SENSING OF ENVIRONMENT[J]. 2021, 256: http://dx.doi.org/10.1016/j.rse.2021.112318.
[6] Su, Ting, Deng, Xiaolei, Yang, Jiecheng, Wang, Zhenwei, Fang, Shibo, Zheng, Hairong, Liang, Dong, Ge, Yongshuai. DIR-DBTnet: Deep iterative reconstruction network for three-dimensional digital breast tomosynthesis imaging. MEDICAL PHYSICS[J]. 2021, 48(5): 2289-2300, http://dx.doi.org/10.1002/mp.14779.
[7] Huang, Zhenxing, Liu, Xinfeng, Wang, Rongpin, Zhang, Mudan, Zeng, Xianchun, Liu, Jun, Yang, Yongfeng, Liu, Xin, Zheng, Hairong, Liang, Dong, Hu, Zhanli. FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms. APPLIED INTELLIGENCE[J]. 2021, 51(5): 2838-2849, http://dx.doi.org/10.1007/s10489-020-01965-0.
[8] Chen, Chen, Yan, Jining, Wang, Lizhe, Liang, Dong, Zhang, Wanfeng. Classification of Urban Functional Areas From Remote Sensing Images and Time-Series User Behavior Data. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: 1207-1221, https://doaj.org/article/d5d81fc4d4914897ab37274a5a93f0a3.
[9] Ge, Yongshuai, Chen, Jianwei, Yang, Jiecheng, Zhu, Peiping, Zhang, Huitao, Zheng, Hairong, Liang, Dong. Angular sensitivity of an x-ray differential phase contrast imaging system with real and virtual source images. OPTICS LETTERS[J]. 2021, 46(11): 2791-2794, http://dx.doi.org/10.1364/OL.416621.
[10] Zou, Lixian, Liang, Dong, Ye, Huihui, Su, Shi, Zhu, Yanjie, Liu, Xin, Zheng, Hairong, Wang, Haifeng, 王海峰. Quantitative MR relaxation using MR fingerprinting with fractional-order signal evolution. JOURNAL OF MAGNETIC RESONANCE[J]. 2021, 330: http://dx.doi.org/10.1016/j.jmr.2021.107042.
[11] Zhao, Huangxuan, Ke, Ziwen, Yang, Fan, Li, Ke, Chen, Ningbo, Song, Liang, Zheng, Chuansheng, Liang, Dong, Liu, Chengbo. Deep Learning Enables Superior Photoacoustic Imaging at Ultralow Laser Dosages. ADVANCED SCIENCE[J]. 2021, 8(3): http://dx.doi.org/10.1002/advs.202003097.
[12] Xue, Hengzhi, Zhang, Qiyang, Zou, Sijuan, Zhang, Weiguang, Zhou, Chao, Tie, Changjun, Wan, Qian, Teng, Yueyang, Li, Yongchang, Liang, Dong, Liu, Xin, Yang, Yongfeng, Zheng, Hairong, Zhu, Xiaohua, Hu, Zhanli. LCPR-Net: low-count PET image reconstruction using the domain transform and cycle-consistent generative adversarial networks. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY[J]. 2021, 11(2): 749-762, https://www.webofscience.com/wos/woscc/full-record/WOS:000620246000003.
[13] Wang, Siyuan, Lv, Junjie, He, Zhuonan, Liang, Dong, Chen, Yang, Zhang, Minghui, Liu, Qiegen. Denoising auto-encoding priors in undecimated wavelet domain for MR image reconstruction. NEUROCOMPUTING[J]. 2021, 437: 325-338, http://dx.doi.org/10.1016/j.neucom.2020.09.086.
[14] Gaire, Sunil Kumar, Wang, Yanhua, Zhang, Hao F, Liang, Dong, Ying, Leslie. Accelerating 3D single-molecule localization microscopy using blind sparse inpainting. JOURNAL OF BIOMEDICAL OPTICS[J]. 2021, 26(2): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910702/.
[15] Huang, Zhenxing, Liu, Xinfeng, Wang, Rongpin, Chen, Jincai, Lu, Ping, Zhang, Qiyang, Jiang, Changhui, Yang, Yongfeng, Liu, Xin, Zheng, Hairong, Liang, Dong, Hu, Zhanli. Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks. NEUROCOMPUTING[J]. 2021, 428: 104-115, http://dx.doi.org/10.1016/j.neucom.2020.10.077.
[16] Huang, Zhenxing, Chen, Zixiang, Chen, Jincai, Lu, Ping, Quan, Guotao, Du, Yanfeng, Li, Chenwei, Gu, Zheng, Yang, Yongfeng, Liu, Xin, Zheng, Hairong, Liang, Dong, Hu, Zhanli. DaNet: dose-aware network embedded with dose-level estimation for low-dose CT imaging. PHYSICS IN MEDICINE AND BIOLOGY[J]. 2021, 66(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000607314900001.
[17] Zou, Lixian, Liang, Dong, Ye, Huihui, Su, Shi, Zhu, Yanjie, Liu, Xin, Zheng, Hairong, Wang, Haifeng. Quantitative MR relaxation using MR fingerprinting with fractional-order signal evolution (vol 330, 107042, 2021). JOURNAL OF MAGNETIC RESONANCEnull. 2021, 332: http://dx.doi.org/10.1016/j.jmr.2021.107066.
[18] He, Siru, Hong, Xuda, Zheng, Hairong, Liang, Dong. Highly enhanced field emission properties of a carbon nanotube cathode on a titanium alloy substrate modified by alkali. VACUUM[J]. 2021, 190: http://dx.doi.org/10.1016/j.vacuum.2021.110286.
[19] Su, Shi, Qiu, Zhilang, Luo, Chao, Shi, Caiyun, Wan, Liwen, Zhu, Yanjie, Li, Ye, Liu, Xin, Zheng, Hairong, Liang, Dong, Wang, Haifeng. Accelerated 3D bSSFP Using a Modified Wave-CAIPI Technique With Truncated Wave Gradients. IEEE TRANSACTIONS ON MEDICAL IMAGING[J]. 2021, 40(1): 48-58, http://dx.doi.org/10.1109/TMI.2020.3021737.
[20] Zhao, Fu, Du, Shuman, Liang, Dong, Liu, Jun. Simultaneously improving multiple imaging parameters with scattering media. APPLIED OPTICS[J]. 2021, 60(21): 6091-6096, http://dx.doi.org/10.1364/AO.424601.
[21] Zhu, Tingting, Ren, Lijie, Zhang, Lei, Shao, Yinghui, Wan, Liwen, Li, Ye, Liang, Dong, Zheng, Hairong, Liu, Xin, Zhang, Na. Comparison of plaque characteristics of small and large subcortical infarctions in the middle cerebral artery territory using high-resolution magnetic resonance vessel wall imaging. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY[J]. 2021, 11(1): 57-66, http://dx.doi.org/10.21037/qims-20-310.
[22] Qiu, Zhilang, Jia, Sen, Su, Shi, Zhu, Yanjie, Liu, Xin, Zheng, Hairong, Liang, Dong, Wang, Haifeng. Highly accelerated parallel MRI using wave encoding and virtual conjugate coils. MAGNETIC RESONANCE IN MEDICINE[J]. 2021, 86(3): 1345-1359, http://dx.doi.org/10.1002/mrm.28803.
[23] Liang, Dong, Guo, Huadong, Zhang, Lu, Cheng, Yun, Zhu, Qi, Liu, Xuting. Time-series snowmelt detection over the Antarctic using Sentinel-1 SAR images on Google Earth Engine. REMOTE SENSING OF ENVIRONMENT[J]. 2021, 256: http://dx.doi.org/10.1016/j.rse.2021.112318.
[24] Chen, Zixiang, Zeng, Dong, Huang, Zhenxing, Ma, Jianhua, Gu, Zheng, Yang, Yongfeng, Liu, Xin, Zheng, Hairong, Liang, Dong, Hu, Zhanli. Temporal feature prior-aided separated reconstruction method for low-dose dynamic myocardial perfusion computed tomography. PHYSICS IN MEDICINE AND BIOLOGY[J]. 2021, 66(4): http://dx.doi.org/10.1088/1361-6560/abd4ba.
[25] Su, Ting, Deng, Xiaolei, Yang, Jiecheng, Wang, Zhenwei, Fang, Shibo, Zheng, Hairong, Liang, Dong, Ge, Yongshuai. DIR-DBTnet: Deep iterative reconstruction network for three-dimensional digital breast tomosynthesis imaging. MEDICAL PHYSICS[J]. 2021, 48(5): 2289-2300, http://dx.doi.org/10.1002/mp.14779.
[26] Huang, Zhenxing, Liu, Xinfeng, Wang, Rongpin, Zhang, Mudan, Zeng, Xianchun, Liu, Jun, Yang, Yongfeng, Liu, Xin, Zheng, Hairong, Liang, Dong, Hu, Zhanli. FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms. APPLIED INTELLIGENCE[J]. 2021, 51(5): 2838-2849, http://dx.doi.org/10.1007/s10489-020-01965-0.
[27] Fu, Jing, Feng, Fei, Quan, Huimin, Wan, Qian, Chen, Zixiang, Liu, Xin, Zheng, Hairong, Liang, Dong, Cheng, Guanxun, Hu, Zhanli. PWLS-PR: low-dose computed tomography image reconstruction using a patch-based regularization method based on the penalized weighted least squares total variation approach. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY[J]. 2021, 11(6): 2541-2559, http://dx.doi.org/10.21037/qims-20-963.
[28] Ge, Yongshuai, Chen, Jianwei, Yang, Jiecheng, Zhu, Peiping, Zhang, Huitao, Zheng, Hairong, Liang, Dong. Angular sensitivity of an x-ray differential phase contrast imaging system with real and virtual source images. OPTICS LETTERS[J]. 2021, 46(11): 2791-2794, http://dx.doi.org/10.1364/OL.416621.
[29] Liang, Dong, Guo, Huadong, Zhang, Lu, Wang, Mingwei, Wang, Lizhe, Liang, Lei, Shirazi, Zeeshan. Analyzing Antarctic ice sheet snowmelt with dynamic Big Earth Data. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2021, 14(1): 88-105, https://www.webofscience.com/wos/woscc/full-record/WOS:000555138600001.
[30] Chen, Chen, Yan, Jining, Wang, Lizhe, Liang, Dong, Zhang, Wanfeng. Classification of Urban Functional Areas From Remote Sensing Images and Time-Series User Behavior Data. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: 1207-1221, https://doaj.org/article/d5d81fc4d4914897ab37274a5a93f0a3.
[31] Zou, Lixian, Liang, Dong, Ye, Huihui, Su, Shi, Zhu, Yanjie, Liu, Xin, Zheng, Hairong, Wang, Haifeng, 王海峰. Quantitative MR relaxation using MR fingerprinting with fractional-order signal evolution. JOURNAL OF MAGNETIC RESONANCE[J]. 2021, 330: http://dx.doi.org/10.1016/j.jmr.2021.107042.
[32] Liu, Yuanyua, Ying, Leslie, Chen, Weitian, Cui, ZhuoXu, Zhu, Qingyong, Liu, Xin, Zheng, Hairong, Liang, Dong, Zhu, Yanjie. Accelerating the 3D T-1 rho mapping of cartilage using a signal-compensated robust tensor principal component analysis model. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY[J]. 2021, 11(8): 3376-3391, http://dx.doi.org/10.21037/qims-20-790.
[33] Zhao, Huangxuan, Ke, Ziwen, Yang, Fan, Li, Ke, Chen, Ningbo, Song, Liang, Zheng, Chuansheng, Liang, Dong, Liu, Chengbo. Deep Learning Enables Superior Photoacoustic Imaging at Ultralow Laser Dosages. ADVANCED SCIENCE[J]. 2021, 8(3): http://dx.doi.org/10.1002/advs.202003097.
[34] Xue, Hengzhi, Zhang, Qiyang, Zou, Sijuan, Zhang, Weiguang, Zhou, Chao, Tie, Changjun, Wan, Qian, Teng, Yueyang, Li, Yongchang, Liang, Dong, Liu, Xin, Yang, Yongfeng, Zheng, Hairong, Zhu, Xiaohua, Hu, Zhanli. LCPR-Net: low-count PET image reconstruction using the domain transform and cycle-consistent generative adversarial networks. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY[J]. 2021, 11(2): 749-762, https://www.webofscience.com/wos/woscc/full-record/WOS:000620246000003.
[35] Wang, Siyuan, Lv, Junjie, He, Zhuonan, Liang, Dong, Chen, Yang, Zhang, Minghui, Liu, Qiegen. Denoising auto-encoding priors in undecimated wavelet domain for MR image reconstruction. NEUROCOMPUTING[J]. 2021, 437: 325-338, http://dx.doi.org/10.1016/j.neucom.2020.09.086.
[36] Gaire, Sunil Kumar, Wang, Yanhua, Zhang, Hao F, Liang, Dong, Ying, Leslie. Accelerating 3D single-molecule localization microscopy using blind sparse inpainting. JOURNAL OF BIOMEDICAL OPTICS[J]. 2021, 26(2): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910702/.
[37] Huang, Zhenxing, Liu, Xinfeng, Wang, Rongpin, Chen, Jincai, Lu, Ping, Zhang, Qiyang, Jiang, Changhui, Yang, Yongfeng, Liu, Xin, Zheng, Hairong, Liang, Dong, Hu, Zhanli. Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks. NEUROCOMPUTING[J]. 2021, 428: 104-115, http://dx.doi.org/10.1016/j.neucom.2020.10.077.
[38] Huang, Zhenxing, Chen, Zixiang, Chen, Jincai, Lu, Ping, Quan, Guotao, Du, Yanfeng, Li, Chenwei, Gu, Zheng, Yang, Yongfeng, Liu, Xin, Zheng, Hairong, Liang, Dong, Hu, Zhanli. DaNet: dose-aware network embedded with dose-level estimation for low-dose CT imaging. PHYSICS IN MEDICINE AND BIOLOGY[J]. 2021, 66(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000607314900001.
[39] Zou, Lixian, Liang, Dong, Ye, Huihui, Su, Shi, Zhu, Yanjie, Liu, Xin, Zheng, Hairong, Wang, Haifeng. Quantitative MR relaxation using MR fingerprinting with fractional-order signal evolution (vol 330, 107042, 2021). JOURNAL OF MAGNETIC RESONANCEnull. 2021, 332: http://dx.doi.org/10.1016/j.jmr.2021.107066.
[40] He, Siru, Hong, Xuda, Zheng, Hairong, Liang, Dong. Highly enhanced field emission properties of a carbon nanotube cathode on a titanium alloy substrate modified by alkali. VACUUM[J]. 2021, 190: http://dx.doi.org/10.1016/j.vacuum.2021.110286.
[41] Zhao, Fu, Du, Shuman, Liang, Dong, Liu, Jun. Simultaneously improving multiple imaging parameters with scattering media. APPLIED OPTICS[J]. 2021, 60(21): 6091-6096, http://dx.doi.org/10.1364/AO.424601.
[42] Qiu, Zhilang, Jia, Sen, Su, Shi, Zhu, Yanjie, Liu, Xin, Zheng, Hairong, Liang, Dong, Wang, Haifeng. Highly accelerated parallel MRI using wave encoding and virtual conjugate coils. MAGNETIC RESONANCE IN MEDICINE[J]. 2021, 86(3): 1345-1359, http://dx.doi.org/10.1002/mrm.28803.
[43] Chen, Zixiang, Zeng, Dong, Huang, Zhenxing, Ma, Jianhua, Gu, Zheng, Yang, Yongfeng, Liu, Xin, Zheng, Hairong, Liang, Dong, Hu, Zhanli. Temporal feature prior-aided separated reconstruction method for low-dose dynamic myocardial perfusion computed tomography. PHYSICS IN MEDICINE AND BIOLOGY[J]. 2021, 66(4): http://dx.doi.org/10.1088/1361-6560/abd4ba.
[44] Fu, Jing, Feng, Fei, Quan, Huimin, Wan, Qian, Chen, Zixiang, Liu, Xin, Zheng, Hairong, Liang, Dong, Cheng, Guanxun, Hu, Zhanli. PWLS-PR: low-dose computed tomography image reconstruction using a patch-based regularization method based on the penalized weighted least squares total variation approach. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY[J]. 2021, 11(6): 2541-2559, http://dx.doi.org/10.21037/qims-20-963.
[45] Liang, Dong, Guo, Huadong, Zhang, Lu, Wang, Mingwei, Wang, Lizhe, Liang, Lei, Shirazi, Zeeshan. Analyzing Antarctic ice sheet snowmelt with dynamic Big Earth Data. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2021, 14(1): 88-105, https://www.webofscience.com/wos/woscc/full-record/WOS:000555138600001.
[46] Liu, Yuanyua, Ying, Leslie, Chen, Weitian, Cui, ZhuoXu, Zhu, Qingyong, Liu, Xin, Zheng, Hairong, Liang, Dong, Zhu, Yanjie. Accelerating the 3D T-1 rho mapping of cartilage using a signal-compensated robust tensor principal component analysis model. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY[J]. 2021, 11(8): 3376-3391, http://dx.doi.org/10.21037/qims-20-790.
[47] Liang, Dong, Cheng, Jing, Ke, Ziwen, Ying, Leslie. Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks. IEEE SIGNAL PROCESSING MAGAZINE. 2020, 37(1): 141-151, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977031/.
[48] Li, Sanqian, Zhou, Jinjie, Liang, Dong, Liu, Qiegen. MRI denoising using progressively distribution-based neural network. MAGNETIC RESONANCE IMAGING[J]. 2020, 71: 55-68, http://dx.doi.org/10.1016/j.mri.2020.04.006.
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发表著作

（1）压缩感知理论与应用, 机械工业出版社, 2019-01, 第 1 作者

科研活动

科研项目

（ 1 ）集成已知部分支集压缩感知和并行成像的动态对比增强磁共振成像重建方法研究, 主持, 国家级, 2012-01--2014-12
（ 2 ）实时高分辨磁共振成像的理论与方法研究, 参与, 国家级, 2012-01--2016-12
（ 3 ）集成压缩感知和并行成像的动态对比增强磁共振成像重建方法研究, 主持, 省级, 2012-01--2013-12
（ 4 ）高时空分辨磁共振成像研究, 主持, 部委级, 2012-01--2015-12
（ 5 ）基于压缩感知的快速磁共振成像技术研发, 主持, 省级, 2013-05--2015-05
（ 6 ）基于深度稀疏表达的快速磁共振成像研究, 主持, 国家级, 2015-01--2018-12
（ 7 ）静态数字乳腺断层成像系统, 主持, 省级, 2016-01--2017-12
（ 8 ） PET-MRI成像理论与关键技术研究, 主持, 省级, 2016-01--2018-12
（ 9 ）线圈研制及临床序列开发, 主持, 国家级, 2017-07--2020-12
（ 10 ）新型超快速多尺度磁共振成像与波谱及其高分辨重建, 参与, 国家级, 2019-01--2022-12

参与会议

（1）Integrating Principal Component Analysis and Dictionary Learning with incoherence constraint    Yanjie Zhu, Qiegen Liu, Qinwei Zhang, Jing Yuan, Dong Liang   2014-05-15
（2）Improved compressed sensing and parallel imaging MRI through the generalized modeling   Xi Peng , Leslie Ying , Xin Liu , Dong Liang   2013-04-22
（3）Accelerated MR parameter mapping using advanced compressed sensing techniques   Dong Liang   2012-06-09
（4）The effect of GRAPPA parameters on reconstruction quality with 32-channel coil   Jinbo Wang, Shan He, Dong Liang   2012-05-26
（5）Accelerated MR parameter mapping using Advanced compressed sensing technique   Dong Liang   2012-05-18
（6）Direct Diffusion Tensor Estimation using joint sparsity constraint without image reconstruction   ？ Yanjie Zhu, Yin Wu, Ed X. Wu, Leslie Ying, Dong Liang   2012-05-05
（7）A model-based method with joint sparsity constraint for direct diffusion tensor estimation   ？ Yanjie Zhu, Yin Wu, Ed X. Wu, Leslie Ying, Dong Liang   2012-05-02

指导学生

已指导学生

刘建博硕士研究生 081203-计算机应用技术

贾森博士研究生 081203-计算机应用技术

程慧涛硕士研究生 083100-生物医学工程

程静博士研究生 081104-模式识别与智能系统

蔡思琦硕士研究生 085208-电子与通信工程

现指导学生

柯子文博士研究生 081104-模式识别与智能系统

蒋昌辉博士研究生 081104-模式识别与智能系统

刘元元博士研究生 081104-模式识别与智能系统

张其阳博士研究生 081104-模式识别与智能系统

王婉婷硕士研究生 085208-电子与通信工程

蔡访硕士研究生 085211-计算机技术

丘志浪博士研究生 081104-模式识别与智能系统

王位硕士研究生 085211-计算机技术

黄文麒硕士研究生 081104-模式识别与智能系统

李庆能硕士研究生 085211-计算机技术

史彩云博士研究生 081104-模式识别与智能系统

黎浩翔硕士研究生 085210-控制工程

杨俊硕士研究生 085211-计算机技术