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占志芳的个人主页 (English, 中文)

硕士研究生
 
厦门大学物理与机电工程学院电子科学系
 
Email: zhanzfadu@foxmail.com
 
研究小组:计算成像@磁共振医学成像研究中心
 
 
 



个人简历 教育背景 研究兴趣 论文 专利 获奖情况 专业技能

个人简历

厦门大学电子科学系硕士研究生

教育背景
d

硕士研究生 电子与通信工程 (09/2014-至今) 
导师:屈小波
学校:厦门大学

d

本科 电子信息科学与技术 (09/2010-06/2014)
学校:厦门大学

研究兴趣
d 医学图像处理    
d 自适应字典学习    
d 多尺度几何图像分析    
论文
(1) 期刊论文
d

Yunsong Liu, Zhifang Zhan, Jian-Feng Cai, Di Guo, Zhong Chen, Xiaobo Qu*. Projected iterative soft-thresholding algorithm for tight frames in compressed sensing magnetic resonance imaging, IEEE Transactions on Medical Imaging, 35(9): 2130-2140, 2016.

d Zhifang Zhan, Jian-Feng Cai, Di Guo, Yunsong Liu, Zhong Chen, Xiaobo Qu*. Fast multi-class dictionaries learning with geometrical directions in MRI reconstruction,IEEE Transactions on Biomedical Engineering, 63(9):1850-1861, 2016.
d Zongying La, Xiaobo Qu, Yunsong Liu, Di Guo, Jing Ye, Zhifang Zhan, Zhong Chen. Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform, Medical Image Analysis, 27: 93-104, 2016.
d Yunsong Liu, Jian-Feng Cai, Zhifang Zhan, Di Guo, Jing Ye, Zhong Chen, Xiaobo Qu. Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging, PLoS ONE, 10(4): e0119584, 2015.
d Qiyue Li, Xiaobo Qu, Yunsong Liu, Di Guo, Jing Ye, Zhifang Zhan, Zhong Chen. Parallel computing of patch-based nonlocal operator and its application in compressed sensing MRI, Computational and Mathematical Methods in Medicine, 2014:6, 2014.
(2)会议摘要
d Zhifang Zhan, Yunsong Liu, Jian-Feng Cai, Di Guo, Jing Ye, Zhong Chen, Xiaobo Qu. Fast dictionary learning-based compresssed sensing MRI with patch clustering, International Society for Magnetic Resonance in Medicine 23rd Annual Meeting, Toronto, Canada, 2015
d Xiaobo Qu, Yunsong Liu, Jing Ye, Di Guo, Zhifang Zhan, Zhong Chen. A fast algorithm for tight frame-based nonlocal transform in compressed sensing MRI, International Society for Magnetic Resonance in Medicine 23rd Annual Meeting, Toronto, Canada, 2015
d Yunsong Liu, Zhifang Zhan, Jian-Feng Cai, Jing Ye, Zhong Chen, Xiaobo Qu. Balance sparsity model for tight-frame representation in compressed sensing MRI, 2014 IEEE International Symposium on Biomedical Imaging-ISBI’14, Beijing, China, 2014.
专利
d 屈小波, 占志芳, 刘运松, 郭迪, 陈忠. 一种磁共振图像的迭代重建方法, 中国发明专利,授权号:ZL201510181018.0,申请日:16/04/2015, 授权日: 03/15/2017。
获奖情况
d 2016年10月,获得国家研究生奖学金
d 2016年3月,获得厦门大学“关心下一代•长青奖学金”
d 2015年8月,获得国际磁共振学会(ISMAR)的“Student Travel Award”
专业技能
良好的英语能力 CET6:526/710
精通C/C++,MATLAB