Lichi Zhang

 Dr. Lichi Zhang is a tenure-track Assistant Professor in the Institute for Medical Imaging Technology, School of Biomedical Engineering. He received the Bachelor degree in Network Engineering from Beijing University of Posts and Telecommunications,  and the Ph.D. degree in Computer Science from University of York, UK. Then he was working as a PostDoc researcher in Med-X Research Institute of Shanghai Jiao Tong University, and the BRIC of University of North Carolina at Chapel Hill. He started to join School of Biomedical Engineering, Shanghai Jiao Tong University in 2017. 


      Dr. Lichi Zhang's research field is computer vision and medical image analysis. His main focus is to incorporate artificial intelligence technologies such as machine learning and etc., to accomplish the multi-modal medical images' processing and analysis works: image segmentation, registration, extraction and selection of the anatomical and functional features from brain images, and computer-aided diagnosis. He has published about 70 journal and conference papers including IEEE TMI, Medical Image Analysis, Human Brain Mapping, Pattern Recognition, MICCAI and etc. 

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