Dr. Zhicheng Zhang | Medical Physics | Best Researcher Award
Doctorate at JancsiTech, China
Profiles
Summary
Dr. Zhang has led multiple research grants, including projects on unsupervised low-dose CT reconstruction and ultra-low-dose PET imaging. As a prolific author, he has published in top journals such as Nature Communications and Medical Image Analysis. His work bridges cutting-edge AI technologies with impactful medical applications.
Education
- Ph.D. in Pattern Recognition and Intelligent Systems (2019)
University of Chinese Academy of Sciences - B.S. in Biomedical Engineering (2010)
Sun Yat-Sen University
Professional Experience
- Chief Scientist (2022βPresent)
JancsiLab, JancsiTech - Medical Image Researcher (2021β2022)
ByteDance - Postdoctoral Research Fellow (2019β2021)
Stanford University - Visiting Scholar (2017β2018)
Virginia Tech
Research Interests
- Medical Imaging and Reconstruction
- Artificial Intelligence in Healthcare
- Low-Dose CT and PET Imaging
- Cancer Diagnosis and Immunotherapy Prediction
Publications
Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer
- Authors: Zepang Sun, Taojun Zhang, M Usman Ahmad, Zixia Zhou, Liang Qiu, Kangneng Zhou, Wenjun Xiong, Jingjing Xie, Zhicheng Zhang, Chuanli Chen, Qingyu Yuan, Yan Chen, Wanying Feng, Yikai Xu, Lequan Yu, Wei Wang, Jiang Yu, Guoxin Li, Yuming Jiang
- Journal: The Journal of Clinical Investigation
- Year: 2024
Weakly supervised framework for cancer region detection of hepatocellular carcinoma in whole-slide pathologic images based on multiscale attention convolutional neural network
- Authors: Songhui Diao, Yinli Tian, Wanming Hu, Jiaxin Hou, Ricardo Lambo, Zhicheng Zhang, Yaoqin Xie, Xiu Nie, Fa Zhang, Daniel Racoceanu, Wenjian Qin
- Journal: The American journal of pathology
- Year: 2022
Topological EEG nonlinear dynamics analysis for emotion recognition
- Authors: Yan Yan, Xuankun Wu, Chengdong Li, Yini He, Zhicheng Zhang, Huihui Li, Ang Li, Lei Wang
- Journal: IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
- Year: 2022
Biology-guided deep learning predicts prognosis and cancer immunotherapy response
- Authors: Yuming Jiang*, Zhicheng Zhang*, Wei Wang*, Weicai Huang*, Chuanli Chen, Sujuan Xi, M Usman Ahmad, Yulan Ren, Shengtian Sang, Jingjing Xie, Jen-Yeu Wang, Wenjun Xiong, Tuanjie Li, Zhen Han, Qingyu Yuan, Yikai Xu, Lei Xing, George A Poultsides, Guoxin Li, Ruijiang Li
- Journal: Nature Communications
- Year: 2023
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study
- Authors: Yuming Jiang*, Zhicheng Zhang*, Qingyu Yuan*, Wei Wang*, Hongyu Wang, Tuanjie Li, Weicai Huang, Jingjing Xie, Chuanli Chen, Zepang Sun, Jiang Yu, Yikai Xu, George A Poultsides, Lei Xing, Zhiwei Zhou, Guoxin Li, Ruijiang Li
- Journal: The Lancet Digital Health
- Year: 2022