Member

Principal Investigator

Dr. Li Wang is a tenure track Assistant Professor in the University of North Carolina at Chapel Hill. He completed his Ph.D. in June 2010 from Nanjing University of Science and Technology. Li Wang is working in the University of North Carolina at Chapel Hill, USA, in the Medical Image Analysis field. His research interests focus on image segmentation, image registration, cortical surface analysis, machine learning and their applications to normal early brain development and disorders. His current focus is on identifying imaging-based biomarkers for early autism diagnosis. More …

Awards & Honors:
Google Scholar (Citations: 6736, h-index: 40, h10-index: 84): https://scholar.google.com/citations?hl=en&user=xjzMf0cAAAAJ&view_op=list_works&sortby=pubdate
Journal Editorship:
  • Associate Editor, Neurocomputing
  • Associate Editor, Medical & Biological Engineering & Computing
  • Associate Editor, Signal, Image and Video Processing

Postdoctoral Fellows

 

Dr. Chen Xu

Dr. Deqiang Xiao

Dr. Jupeng Li

Research/Visiting Scholars

Yue Sun

Yue Sun is a master student at the Department of Information Science and Engineering, University of Jinan. She is currently working on the infant cerebellum growth trajectory from newborn to 5 years old.

 

Kun Gao

Kun Gao is a master student at the Department of Information Science and Engineering, University of Jinan. He mainly focuses on the early autism diagnosis based on structural MR images.

 

Ph.D Students

Qian Zhang is a Ph.D. student at the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, USA. He is currently working on infant brain MR images skull stripping/segmentation.

 

Former Members

Dr. Jian Chen received Ph.D degree from College of Physics and Information Engineering, Fuzhou University, now he is an associate professor in School of Information Science and Engineering, Fujian University of Technology. He is a former member in the lab worked on deep learning and their applications to tissue segmentation of infant brain MR images.

 

Dr. Guannan Li is a Ph.D candidate at School of Computer Science and Engineering, Nanjing University of Science and Technology. She is a former member in the lab and her research interests are deep learning and their applications to early diagnosis of autism and hippocampus segmentation based on the structural MR images.

 

Mr. Ren Yi

Mr. Chunjun Qian

Dr. Zuoyong Li

Dr. Minghui Deng

Ms. Cuijin Lao

Dr. Jiawei Chen

Dr. Duc-Toan Bui