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Prof. Yuyao Zhang / 张玉瑶 助理教授、研究员

Tel:  (021) 20684863
Office: Room 2-302F, SIST Building, No.393 Huaxia Middle Road, Pudong Area Shanghai
Major: CS


  • Medical image analysis


Dr. Yuyao ZHANG is an assistant professor, PI (Tenure-track) in ShanghaiTech University, China. She received her B.E. degree from Harbin Engineering University in 2007, Master degree from Harbin Institute of Technology in 2010, and received her Ph.D. degree from the Institut National des Sciences Appliquées de Lyon (INSA-LYON) in 2014. From March 2014 to June 2016, she worked as a postdoctoral fellow in Duke University Brain Imaging and Analysis Center (BIAC), USA. From July 2016 to August 2018, she worked as a postdoctoral fellow in the University of California Berkeley (UCB) Electronic Engineering and Computer Science (EECS) department, USA. Her research interests include MR image process and analysis using machine learning methods, and now she is focusing on the studies for understanding infant brain development and neuro-degenerative disease using MR image. She has published more than 20 papers on object and face recognition related topics in many international conferences and journals, including IEEE TMI, Neuroimage, Human Brain Mapping, Magnetic Resonance in Medicine, MICCAI, etc.). 


1. Yuyao Zhang, Hongjiang Wei, Matthew J. Cronin, Naying He, Fuhua Yan, Chunlei Liu: Longitudinal Atlas for Normative Human Brain Development and Aging over the Lifespan using Quantitative Susceptibility Mapping. Neuroimage, 171, 176-189 (2018) 
2. Yuyao Zhang, Feng Shi, Guorong Wu, Li Wang, Pew-Thian Yap, Dinggang Shen: Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains. IEEE Trans. Med. Imaging, 35(12): 2568-2577 (2016) 
3. Yuyao Zhang, Feng Shi, Pew-Thian Yap, Dinggang Shen: Detail-preserving construction of neonatal brain atlases in space-frequency domain. Human brain mapping, 37(6): 2133-50 (2016) 
4. Yuyao Zhang, Hongjiang Wei: Atlas Construction of Cardiac Fiber Architecture using a Multimodal Registration Approach. Neurocomputing, 259: 219-225 (2017) 
5. Yuyao Zhang, Hongjiang Wei, Chunlei Liu: Quantitative Susceptibility Mapping (QSM) as a Means to Monitor Cerebral Hematoma Treatment. JMRI, DOI: 10.1002/jmri.25957. in press, (2018)