Binjie Qin

Dr. Binjie Qin received the M.Sc. degree in Measuring and Testing Technologies and Instruments from Nanjing University of Science and Technology, Nanjing, and the Ph.D. degree in Biomedical Engineering from Shanghai Jiao Tong University, Shanghai, China, in 1999 and 2002, respectively. He was a Lecturer and then Associate Professor at the Department of Biomedical Engineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China. From Aug. 2012 to Aug. 2013, He was a visiting professor at Department of Computer Science, University College London, U.K. He is currently an Associate Professor with the School of Biomedical Engineering, Shanghai Jiao Tong University. He has served a reviewer for nearly thirty journals including IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, Medical Image Analysis, Pattern Recognition, IEEE Transactions on Cybernetics, IEEE/CAA Journal of Automatica Sinica, Bioinformatics, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Signal Processing Letters, Physics in Medicine and Biology. He is a leading guest editor of “Cerebral vessel extraction: from image acquisition to machine learning” in Frontiers in Neuroscience (2021). He was awarded as an outstanding reviewer of Pattern Recognition (2018) and Journal of Shanghai Jiaotong University (2020). His group have developed image-guided ENT surgery system and bioluminescence & fluorescence imaging system that are successfully used in real applications. His research has been supported by the grants from National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Shanghai Jiao Tong University and some companies. The main research interests in his group include: biomedical imaging, image processing, machine learning, computer vision and biomedical instrumentation. Over the past years, his group’s research has focused on challenging problems on weak signal detection such as vessel extraction from X-ray coronary angiography for minimally invasive vascular interventions and integrated system development for biomedical applications such as bioluminescence &multi-spectral fluorescence imaging.


Education

1996-1999 M.S. - Nanjing University of Science and Technology

1999-2002 Ph.D. - Shanghai Jiao Tong University

Work experience

2002-2004, Assistant Professor, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University

2004-2011, Associate Professor, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University

2012-2013, Visiting Scholar, Department of Computer Science, University College London

2014-2015, Assistant Director, Office of Research Management, Shanghai Jiao Tong University

2013-present, Associate Professor, School of Biomedical Engineering, Shanghai Jiao Tong University

Research

Biomedical Imaging and Image Processing, Machine Learning and Artificial Intelligence, Biomedical Instrumentation, Innovation & Technology Evaluation

Research Project

1. Nonrigid medical image registration with clinical application using joint saliency map and local adaptive kernel regression, National Natural Science Foundation of China (61271320), 2012-2016

2. Research on image guided technologies for minimally invasive endovascular interventional therapy, Translational Medicine Cross Fund of Shanghai Jiao Tong University (ZH2018ZDA19), 2018-2022.

3. Technology research and development for artificial intelligence-assisted interrogation, Science and Technology Commission of Shanghai Municipality (19dz1200500), 2019-2022

4. Artificial intelligence standardized detection system for digestive tract submucosal tumor imaging, Science and Technology Commission of Shanghai Municipality (19411951507), 2019-2022

Monograph


1. Binjie Qin*, Haohao Mao, Yiming Liu, Jun Zhao, Yisong Lv, Yueqi Zhu, Song Ding, Xu Chen. Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary AngiographyIEEE Transactions on Medical Imaging (IF: 11.037, 1区), Early Access, 2022Code pdf

2. Binjie Qin*, Mingxin Jin, and Song Ding. Extracting heterogeneous vessels in X-ray coronary angiography via machine learning. In Cardiovascular and Coronary Artery Imaging, pp. 89-127. Academic Press, 2022.pdf

3. Yiming Liu, Binjie Qin*, Rong Li, Xintong Li, Anqi Huang, Haifeng Liu, Yisong Lv, Min Liu* , Motion-robust multimodal heart rate estimation using BCG fused remote-PPG with deep facial ROI tracker and pose constrained Kalman filterIEEE Transactions on Instrumentation and Measurement (IF: 5.332), 70: 1-15, Art no. 5007215, 2021. pdf

4. Dongdong Hao, Song Ding, Linwei Qiu, Yisong Lv, Baowei Fei, Yueqi Zhu, Binjie Qin*Sequential vessel segmentation via deep channel attention networkNeural Networks (IF: 9.657), 128: 172-187, 2020. Code pdf

5. Kunqiang Mei, Bin Hu, Baowei Fei, and Binjie Qin*Phase asymmetry ultrasound despeckling with fractional anisotropic diffusion and total variationIEEE Transactions on Image Processing (IF: 11.041, 1区), 29(1): 2845-2859, 2020. Codepdf

6. Sanqian Li, Binjie Qin, Jin Xiao, Qiegen Liu*, Yuhao Wang, Dong Liang*, Multi-channel and Multi-model based Autoencoding Prior for Grayscale Image RestorationIEEE Transactions on Image Processing (IF: 11.041, 1区), 29(1): 142-156, 2020. Codepdf   

7. Wenzhao Zhao, Qiegen Liu, Yisong Lv, and Binjie Qin*, Texture variation adaptive image denoising with nonlocal PCA,IEEE Transactions on Image Processing (IF: 11.041, 1区), 28(11): 5537-5551, 2019. Code pdf  

8. Binjie Qin*, Mingxin Jin, Dongdong Hao, Yisong Lv, Qiegen Liu, Yueqi Zhu, Song Ding*, Jun Zhao, Baowei Fei, Accurate Vessel Extraction via Tensor Completion of Background Layer in X-ray Coronary AngiogramsPattern Recognition (IF: 8.518, 1区), 87: 38-54, 2019.pdf  

9. Mingxin Jin, Dongdong Hao, Song Ding*, Binjie Qin*Low-rank and sparse decomposition with spatially adaptive filtering for sequential segmentation of 2D+t vesselsPhysics in Medicine and Biology (IF: 4.174), 63(17): 17LT01, 2018. pdf 

10. Binjie Qin*, Zhuangming Shen, Zeshan Fu, Zien Zhou, Yisong Lv, and Jinsong Bao*, Joint-saliency structure adaptive kernel regression with adaptive-scale kernels for deformable registration of challenging imagesIEEE Access (IF: 3.476), 6: 330-343, 2018. pdf 

11. Mingxin Jin, Rong Li, Jian Jiang, Binjie Qin*, Extracting contrast-filled vessels in X-ray angiography by graduated RPCA with motion coherency constraintPattern Recognition (IF: 8.518, 1区), 63: 653-666, 2017. Code pdf  

12. Jianhua Luo, Zhiying Mou, Binjie Qin*, Wanqing Li, Feng Yang, Marc Robini, and Yuemin Zhu, Fast single image super-resolution using estimated low-frequency k-space data in MRIMagnetic Resonance Imaging (IF: 3.13), 40 (2017): 1-11. pdf

13. Binjie Qin*, Chen Hu, and Shaosen Huang, Target/background Classification Regularized Nonnegative Matrix Factorization for Fluorescence UnmixingIEEE Transactions on Instrumentation and Measurement (IF: 5.332), 65(4): 874-889, 2016. Code pdf  

14. Binjie Qin*, Zhuangming Shen, Zien Zhou, Jiawei Zhou, and Yisong Lv, Structure Matching Driven by Joint-Saliency-Structure Adaptive Kernel RegressionApplied Soft Computing (IF: 8.263), 46: 851-867, 2016.pdf

15. Feng Zhu, Binjie Qin*, Weiyue Feng, Huajian Wang, Shaosen Huang, Yisong Lv, Yong Chen, Reducing Poisson noise and baseline in X-ray spectral images with bootstrap Poisson regression and robust nonparametric regressionPhysics in Medicine and Biology (IF: 4.174), 58(6): 1739-1758, 2013. Code pdf 

16. Binjie Qin*, Zhijun Gu, Xianjun Sun, and Yisong Lv, Registration of Images with Outliers Using Joint Saliency MapIEEE Signal Processing Letters (IF: 3.201), 17(1): 91-94, 2010. Code pdf


Teaching

Biomedical Engineering Senior Design, BS067 (Spr)

Multi-dimensional medical image processing and visualization, BME7109, (Aut)

Academic

Senior Member of Chinese Society of Biomedical Engineering

Senior Member of Chinese Institute of Electronics Member of IEEE

Member of Biomedical Information Professional Committee, Shanghai Society of Biomedical Engineering

Member of Medical Imaging Physics Professional Committee, Medical Physics Branch, Chinese Society of Biomedical Engineering

Member of Visual Big Data Professional Committee, Chinese Society of Image and Graphics

Honor Award

2018 Outstanding Reviewer Award by Pattern Recognition, Elsevier

2019 Excellent Undergraduate Supervisor Award by School of Biomedical Engineering, Shanghai Jiao Tong University

2020,2021 Outstanding Reviewer Award by Journal of Shanghai Jiao Tong University (Science), Shanghai Jiao Tong University

Contact

E-mail:bjqin@sjtu.edu.cn

telephone:021-34204382

address:闵行校区文选医学楼 312室