|
Lichi Zhang Dr. Lichi Zhang is a tenured Associate Professor in the 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, with a long-standing focus on the frontiers of AI-driven medical image analysis. A series of achievements have been made in the development of artificial intelligence algorithms for brain imaging, bone imaging, and pathological image analysis. He has been the PI or participated in multiple projects including the National Key R&D Program, the National Natural Science Foundation, the Shanghai Pujiang Talent Program, and SJTU Medical-Engineering Interdisciplinary projects, as well as several industry-sponsored projects. He has published over 120 papers in high-level international journals and conferences in the field, including Cell Reports Medicine, npj Digital Medicine, ICLR, and MICCAI. He also received honors including the Second Prize of Shanghai Science and Technology Progress Award, and has been granted 5 authorized patents and 3 software copyrights. |
1. Haotian Jiang, Jiangdong Cai, Zhenrong Shen, Mengjie Xu, Manman Fei, Haolin Huang, Xinyu Wang, Rui Bi, Dinggang Shen, Lichi Zhang*, Qian Wang*, UniCAS: A foundation model for cervical cytology screening, Cell Reports Medicine, 2026, 7(1), 102570.
2. Zhiyun Song, Xin Wang, Honglin Xiong, Mengjun Liu,
Manman Fei, Xiangyu Zhao, Zhenrong Shen, Sheng Wang, Dongdong Chen,
Linlin Yao, Qian Wang, Lichi Zhang*, Enhancing Generative Models
for Modality Imputation of 3-D MRIs via Consistency-Aware Refinement and
Super-Resolution Guidance, IEEE Transactions on Neural Networks and Learning
Systems, 2026.
3. Dongdong Chen, Linlin Yao, Lu Bai, Edwin R Hancock, Lichi Zhang*,
Motif-aware brain functional connectivity network analysis for cognitive
disorder diagnosis, Pattern Recognition, 2026, 179, 113655.
4. Manman Fei, Zhiyun Song, Zhenrong Shen, Mengjun Liu, Qian Wang, Lichi
Zhang*, UFFL: Bridging Slide- and Cell-Level Annotations via Unified
Feature Fusion Learning for Cervical Cancer Screening, Information Fusion,
2026, 135, 104427.
5. Jiaxu Zheng, Zhenrong Shen, Lichi Zhang*, Qun Chen;
Structure-guided MR-to-CT synthesis with spatial and semantic alignments for
attenuation correction of whole-body PET/MR imaging, Medical Image Analysis,
2025, 103, 103622.
6. Dongdong Chen, Mengjun Liu, Zhenrong Shen, Linlin Yao, Xiangyu Zhao, Zhiyun
Song, Haolei Yuan, Qian Wang, Lichi Zhang*, Exploring
Multiconnectivity and Subdivision Functions of Brain Network via Heterogeneous
Graph Network for Cognitive Disorder Identification, IEEE Transactions on
Neural Networks and Learning Systems, 2024, 36(7), 12400 - 12414.
7. Xiangyu Zhao, Zengxin Qi, Sheng Wang, Qian Wang, Xuehai Wu, Ying Mao*, Lichi
Zhang*, Rcps: Rectified contrastive pseudo supervision for
semi-supervised medical image segmentation, IEEE Journal of Biomedical and
Health Informatics, 2024, 28 (1), 251-261 (ESI Highly-Cited Paper).
8. Dongdong Chen, Yuxing Dai, Lichi Zhang*, Zhihong Zhang, Edwin
R Hancock, Position-aware and structure embedding networks for deep graph
matching, Pattern Recognition, 2023, 136, 109242.
9. Jiayu Huo#, Xi Ouyang#, Liping Si, Kai Xuan, Sheng
Wang, Weiwu Yao*, Ying Liu, Jia Xu, Dahong Qian, Zhong Xue, Qian Wang, Dinggang
Shen, Lichi Zhang*, Automatic grading assessments for knee MRI
cartilage defects via self-ensembling semi-supervised learning with
dual-consistency, Medical Image Analysis, 2022, 80, 102508.
10. Jun Wang#, Lichi Zhang#, Qian Wang*,
Lei Chen, Jun Shi, Xiaobo Chen, Zuoyong Li, Dinggang Shen*, Multi-class ASD
classification based on functional connectivity and functional correlation
tensor via multi-source domain adaptation and multi-view sparse representation, IEEE Transactions on Medical Imaging, 2020, 39(10), 3137 - 3147.
E-mail：lichizhang AT sjtu.edu.cn
address：上海市华山路1954号 Med-X研究院 南楼319室
website：mic.sjtu.edu.cn
交大主页