Binjie QIN

Associate professor

Phone number : 021-34204382

Email : bjqin@sjtu.edu.cn

Office address : 312 Wenxuan Bldg. (Minhang)


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. 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 background

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

Areas of Research Interests

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

Honors And Awards

2018 Outstanding Reviewer Award by Pattern Recognition, Elsevier

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

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

Boards, Advisory Committees, Professional Organizations
  • 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

Biomedical Engineering Senior Design, BS067 (Spr)

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

Research Projects

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

Selected Publications

1. 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, 70: 1-15, Art no. 5007215, 2021. 

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

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

4. 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, 29(1): 142-156, 2020. Code   

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

6. 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, 87: 38-54, 2019.  

7. 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, 63(17): 17LT01, 2018.  

8. 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, 6: 330-343, 2018.  

9. Mingxin Jin, Rong Li, Jian Jiang, Binjie Qin*, Extracting contrast-filled vessels in X-ray angiography by graduated RPCA with motion coherency constraintPattern Recognition, 63: 653-666, 2017. Code   

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

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

12. 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, 58(6): 1739-1758, 2013. Code  

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