Zhenyu Tang, associate professor. He received his Ph.D. degree from the University of Duisburg-Essen, Germany and conducted postdoctoral research at the Institute of Automation, Chinese Academy of Sciences, and at the University of North Carolina at Chapel Hill, USA. His research interests include image processing, pattern recognition, and machine learning. He has published more than 30 papers ...details>
Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
School/Department:School of computer
No contact
-

Research Focus
-

Social Affiliations
No content -

Education Experience
2007/4-2011/11 University Duisburg-Essen |  Computer Engineering |  PhD |  PhD 
2003/11-2007/4 University Duisburg-Essen |  Computer engineering |  Master |  Master 
1999/7-2003/7 China University of Mining and Technology |  Computer Science and Technology |  Bachelor |  Bachelor 
-

Work Experience
2019/7-Now School of computer | Beihang University  | Associate professor 
2017/7-2018/12 University of North Carolina at Chapel Hill (UNC)  | Post-Doc 
2014/7-2019/7 School of computer science and technology | Anhui University  | Associate professor 
2012/3-2014/3 Chinese Academy of Science, Automation Institute (CAS-AI)  | Post-doc 
- 1.Huabing Liu.A New Multi-Atlas Based Deep Learning Segmentation Framework with Differentiable Atlas Feature Warping.IEEE Journal of Biomedical and Health Informatics.2024,28(3):1484-1493
- 2.Huabing Liu.Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images.IEEE Transactions on Image Processing.2024,33:1199-1210
- 3.Zhenyu Tang.Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping.MICCAI.2023
- 4.Zhenyu Tang.Overall survival time prediction for glioblastoma using multimodal deep KNN.Physics in Medicine & Biology.2022
- 5.Huabing Liu.Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images.MICCAI.2022
- 6.Zhenyu Tang.Severity assessment of COVID-19 using CT image features and laboratory indices.Physics in Medicine & Biology.2021
