秦斌杰





生物医学工程专业副教授，硕士生导师。2002年获上海交通大学工学博士学位。2002年至2004年在上海交通大学生物医学工程系任讲师，2004年至2011年任副教授。2012.08-2013.08期间任伦敦大学学院计算机系访问教授。2014.05-2015.05期间任上海交通大学科学技术发展研究院院长助理。2011年至今任上海交通大学生物医学工程学院副教授。任IEEE Transactions on Neural Networks and Learning Systems, Medical Image Analysis, PatternRecognition, IEEE Transactions on Cybernetics, IEEEJournal of Biomedical and Health Informatics, IEEE Access, Bioinformatics, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions onUltrasonics, Ferroelectrics, and Frequency Control,IEEE SignalProcessing Letters, Neurocomputing, Physics in Medicine and Biology, Computer Methods and Programs inBiomedicine等期刊的审稿人，2020年《上海交通大学学报》有突出贡献审稿专家，2018年Pattern Recognition杂志杰出审稿人，国家自然科学基金面上项目，教育部博士点基金项目，浙江省、黑龙江省、河北省、陕西省、广西省自然科学基金项目和省市高层次创业人才引进项目评审专家。
主要从事生物医学成像和图像视频处理、计算机视觉和机器学习、信号处理和生命科学仪器、以及科技分类评价和创新机制等方面的研发活动。主持多项国家自然科学基金面上项目、上海市及企业合作项目，他的团队自主研发了已用于临床和科研的计算机辅助手术导航系统、生物发光和荧光成像系统等。


链接：[GitHub][科学网博客]


研究方向
主要从事生物医学成像和图像视频处理、机器学习和计算机视觉、信号处理和生命科学仪器、以及科技分类评价和创新机制等方面的产学研活动。主持多项国家自然科学基金面上项目、上海市及企业合作项目，他的团队自主研发了已用于临床的计算机辅助手术导航系统，生物发光和荧光成像系统等。
代表性论文专著

1. Dongdong Hao, Song Ding, Linwei Qiu, Yisong Lv, BaoweiFei, Yueqi Zhu, Binjie Qin*,Sequential vessel segmentation via deepchannel attention network, Neural Networks (IF: 5.535, JCR1区，中科院1区), 128: 172-187, 2020. Code

2. Kunqiang Mei, Bin Hu, Baowei Fei, and Binjie Qin*, Phase asymmetry ultrasound despecklingwith fractional anisotropic diffusion and total variation, IEEETransactions on Image Processing (IF: 9.34, JCR1区，中科院1区), 29(1): 2845-2859, 2020. Code

3. Sanqian Li, Binjie Qin, Jin Xiao, QiegenLiu*, Yuhao Wang, Dong Liang*, Multi-channel and Multi-model basedAutoencoding Prior for Grayscale Image Restoration, IEEETransactions on Image Processing (IF: 9.34, JCR1区，中科院1区),29(1): 142-156, 2020. Code

4. Wenzhao Zhao, Qiegen Liu, Yisong Lv, and Binjie Qin*, Texture variation adaptive imagedenoising with nonlocal PCA，IEEETransactions on Image Processing (IF: 9.34, JCR1区，中科院1区),28(11): 5537-5551, 2019. Code

5. Binjie Qin*, Mingxin Jin, Dongdong Hao,Yisong Lv, Qiegen Liu, Yueqi Zhu, Song Ding*, Jun Zhao, Baowei Fei, Accurate Vessel Extraction via TensorCompletion of Background Layer in X-ray Coronary Angiograms, PatternRecognition (IF: 7.196, JCR1区), 87: 38-54, 2019.

6. Mingxin Jin, Dongdong Hao, Song Ding*, Binjie Qin*,Low-rank and sparse decomposition withspatially adaptive filtering for sequential segmentation of 2D+t vessels, Physics in Medicine and Biology (IF: 2.883, JCR2区),63(17): 17LT01, 2018.

7. Binjie Qin*, Zhuangming Shen, Zeshan Fu,Zien Zhou, Yisong Lv, and Jinsong Bao*,Joint-saliency structure adaptivekernel regression with adaptive-scale kernels for deformable registration ofchallenging images, IEEE Access (IF: 3.745, JCR1区), 6: 330-343, 2018.

8. Mingxin Jin, Rong Li, Jian Jiang, BinjieQin*, Extracting contrast-filled vessels in X-rayangiography by graduated RPCA with motion coherency constraint, Pattern Recognition (IF: 7.196, JCR1区), 63:653-666, 2017. Code

9. Binjie Qin*, Chen Hu, and Shaosen Huang,Target/background ClassificationRegularized Nonnegative Matrix Factorization for Fluorescence Unmixing, IEEE Transactions on Instrumentation and Measurement (IF: 3.658, JCR2区), 65(4): 874-889, 2016. Code

10. Binjie Qin*, Zhuangming Shen, Zien Zhou,Jiawei Zhou, and Yisong Lv, Structure Matching Driven byJoint-Saliency-Structure Adaptive Kernel Regression, Applied SoftComputing (IF: 5.472, JCR1区), 46: 851-867, 2016.

11. Feng Zhu, Binjie Qin*, Weiyue Feng,Huajian Wang, Shaosen Huang, Yisong Lv, Yong Chen,Reducing Poisson noise and baseline inX-ray spectral images with bootstrap Poisson regression and robustnonparametric regression, Physics in Medicine and Biology (IF: 2.883, JCR2区), 58(6): 1739-1758, 2013. Code


联系方式
邮箱地址：bjqin@sjtu.edu.cn , binjie.qin@gmail.com
联系电话：86-; 86-180-1856-2628
办公地址：闵行校区文选医学楼 312室