Associate professor


Lichi Zhang is the Assistant Professor appointed in the School of Biomedical Engineering at Shanghai Jiao Tong University. He obtained a BE in Network Engineering from Beijing University of Posts and Telecommunications in 2008, and a Ph.D. in computer science from York University in 2014. From 2014 to 2017, he successively held post-doctoral positions in Med-X Research Institute of Shanghai Jiaotong University and BRIC of UNC. He joined the School of Biomedical Engineering, Shanghai Jiaotong University in 2017.

His main research field is computer vision and medical image analysis. His primary research interest is to combine artificial intelligence technologies such as computer vision and machine learning to achieve segmentation and registration of multi-modal medical images, as well as the extraction and analysis of functional and structural features of brain images, and apply them to assisted diagnosis of related diseases. He has published in more than 50 academic journals and conference papers including Medical Image Analysis, Human Brain Mapping and Pattern Recognition.

Education background

2004-2008 Bachelor - Beijing University of Posts and Telecommunications

2008-2014 Ph.D. - University of York, UK

Work Experience

2014-2017 Postdoc, School of Biomedical Engineering, SJTU

2015-2017 Postdoc, BRIC, UNC

2017-2018 Assistant Researcher, School of Biomedical Engineering, SJTU

2018-Present Assistant Professor, School of Biomedical Engineering, SJTU

Areas of Research Interests

Computer Vision

Machine Learning

Medical Image Analysis

Computer-aided Diagnosis

Selected Publications
  1. Xiaobo Chen, Han Zhang, Lichi Zhang, Celina Shen, Seong-Whan Lee,Dinggang Shen, Extraction of Dynamic Functional Connectivity from Brain Grey Matter and White Matter for MCI Classification, Human Brain Mapping,2017
  2. Jinpeng Zhang#, Lichi Zhang#, Lei Xiang, Yeqin Shao, Guorong Wu,Xiaodong Zhou, Dinggang Shen, Qian Wang: Brain Atlas Fusion from High-Thickness Diagnostic Magnetic Resonance Images by Learning-Based Super-Resolution, Pattern Recognition, 2017 (#co-first author)
  3. Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen: Concatenated Spatially-localized Random Forests for Hippocampus Labeling in Adult and Infant MR Brain Images, NeuroComputing, 2017
  4. Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen: Automatic Labeling of MR Brain Images by Hierarchical Learning of Atlas Forests, Medical Physics, 2016
  5. Lichi Zhang, Edwin Hancock: Robust Estimation of Shape and Polarisation using Blind Source Separation, Pattern Recognition Letters, 2013