Faculty

Su ZHANG

Associate professor

Email : suzhang@sjtu.edu.cn

Office address : 123, Med-X Institute, 3 Teaching Bldg. (Xuhui)

Biography

Su Zhang is Associate Professor of the school of biomedical engineering, Shanghai Jiaotong University. She received her Ph.D degree from Dept. of Automatic Control at Northwestern Polytechnical University in 2000, and subsequently worked as a Postdoctoral Fellow in Institute of Image Processing & Pattern Recognition from 2000-2002. Since 2002 She has been working at school of biomedical engineering, Shanghai Jiaotong University, in Institute of Biomedical Instruments leaded by Academician Yazhu Chen.

The main research topics in her group include Biomedical Image Processing and Pattern Recognition; Image Guided Therapy; Computer aid Diagnosis and Analysis. She has been the PI of the regular grant of Chinese National Science Foundation, and the Grant for developing Key Laboratory form the Ministry of Education. She has also been a member in multiple major program grants. Dr. Zhang has cooperated research work in Hong Kong Polytechnic University, City University of Hong Kong, Virginia Tech in USA, and Creatis-Lrmn in France.

Education background

Postdoctoral Fellow (2000-2002)Institute of Image processing & Pattern Recognition, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

PhD in Pattern Recognition and Intelligent Control (1996-2000), Department of Automatic Control, Northwestern Polytechnical University, Xi’an, China

MS in Electric Drive and Automatics (1993-1996), Department of Automatic Control, Northwestern Polytechnical University, Xi’an, China

BS in Instruments and Measurements (1986-1990), Department of Mechanical Engineering, Nanjing University of Science & Technology, Nanjing, China

Work Experience

Associate Professor (09/2002 – Present)

     Department of Biomedical Engineering, School of Biomedical Engineering

     Shanghai Jiao Tong University, Shanghai, China

Visit Scholar (06/2014 – 07/2014)

Medical Imaging Research Centre, Creatis-Lrmn, Lyon, France

Visit Scholar (05/2010 – 07/2010)

Medical Imaging Research Centre, Creatis-Lrmn, Lyon, France

Visit Scholar (03/2007 – 08/2007)

Computational Bioinformatics and Bioimaging Laboratory

Department of Electrical and Computer Engineering, Virginia Tech, Arlington, USA

Research Associate (01/2005 – 04/2005)

Department of Manufacturing Engineering and Engineering Management

City University of Hong Kong, Hong Kong, China

Research Assistant (11/2001 – 02/2002)

Department of Electronic and Information Engineering

Hong Kong Polytechnic University, Hong Kong, China

Areas of Research Interests

Image Processing and Pattern Recognition

Selected Publications
  1. Jiayue Huang, Hiroki Emori, Daixin Ding, Takashi Kubo, Wei Yu, Peng Huang, Su Zhang, Juan Luis Gutiérrez-Chico, Takashi Akasaka, William Wijns, Shengxian Tu*. Comparison of Diagnostic Performance of Intracoronary Optical Coherence Tomography-based and Angiography-based Fractional Flow Reserve for Evaluation of Coronary Stenosis. EuroIntervention. 2020. DOI: 10.4244/EIJ-D-19-01034.
  2. Chao Li, Xiaozhu Lin, Chun Hui, Kin Man Lam, Su Zhang*. Computer-aided diagnosis for distinguishing pancreatic mucinous cystic neoplasms from serous oligocystic adenomas in spectral CT images. Technology in cancer research & treatment. 2016, 15(1): 44-54.
  3. Chao Li, Cen Shi, Huan Zhang, Chun Hui, Kin Man Lam, and Su Zhang*. Computer-aided diagnosis for preoperative invasion depth of gastric cancer with dual-energy spectral CT imaging. Academic radiology. 2015, 22(2): 149-157.
  4. Rui Wang, Chao Li, Jie Wang, Xiaoer Wei, Yuehua Li, Yuemin Zhu, and Su Zhang*. Automatic segmentation and volumetric quantification of white matter hyperintensities on fluid-attenuated inversion recovery images using the extreme value distribution. Neuroradiology. 2015, 57(3): 307-320.
  5. Rui Wang, Chao Li, Jie Wang, Xiaoer Wei, Yuehua Li, Yuemin Zhu, and Su Zhang*. Threshold segmentation algorithm for automatic extraction of cerebral vessels from brain magnetic resonance angiography images. Journal of neuroscience methods. 2015, 241: 30-36.