Principal Investigator
Dr. Li Wang is a tenure track Assistant Professor in the University of North Carolina at Chapel Hill. 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:
- 2023 Top Cited Article 2021-2022 (Orthodontics & Craniofacial Research, vol. 24, no. S2, pp. 108-116)
- 2022 Cover Page (Cancer Cell, vol. 40, no. 6, pp. 674-693)
- 2022 IEEE Transactions on Medical Imaging Distinguished Reviewer
- 2022 Most Cited Neuroimage Article (Neuroimage 185, 891-905)
- 2022 International Society for Autism Research (INSAR) Full Member
- 2021 IEEE Transactions on Medical Imaging Distinguished Reviewer
- 2020 Best Oral Presentation Award, MICCAI Workshop on Computational Diffusion MRI
- 2019 The best results of CoGM, UWM, CoGM, CSF, Ventricle, CB and BGT in terms of Dice coefficient in NeoBrainS12 MICCAI Challenge (UNC-IDEA-II)
- 2018 NIH Career Award
- 2018 IEEE Senior Member
- 2015 Cover Page of Medical Physics (Med. Phys. 42, 5809, 2015)
- 2015 Editor’s Picks of Medical Physics
- 2014 The best results of WM (UWM+MWM), CoGM and BGT in terms of all measurements (Dice coefficient, mean surface distance and Hausdorff distance) in NeoBrainS12 MICCAI Challenge (UNC-IDEA)
- 2014 The best results of WM in terms of Dice coefficient and Hausdorff distance, GM in terms of Hausdorff distance, Intracranial cavity in terms of Absolute Volume Difference in MRBrains13 MICCAI Challenge (UNC-IDEA)
- 2014 Best Paper Award of Machine Learning and Medical Imaging Workshop (MLMI 2014)
- 2013 Most Downloaded NeuroImage Article
- 2012 Top 25 Hottest Articles: Computer Science > Computerized Medical Imaging and Graphics, January to December 2011 full year
- 2009 Most Cited Computerized Medical Imaging and Graphics Article (most cited articles published since 2008)
- 2009 Most Cited Signal Processing Article (most cited articles published since 2008)
- PhD Student Research and Innovation Funding, Nanjing University of Science and Technology, 2008-2010
- Graduate Student Research and Innovation Program Funding (No. CX09B_103Z), Jiangsu Province, 2009-2010
- NJUST Education Development Foundation, 2007-2009
Google Scholar (citations: 11642; h-index: 51):
https://scholar.google.com/citations?hl=en&user=xjzMf0cAAAAJ&view_op=list_works&sortby=pubdate
Professional Services (external):
- NIH study section Brain Disorders and Related Neurosciences Fellowship Study Section, 2021-2022
Journal Editorship:
- Associate Editor, Neurocomputing
- Associate Editor, Medical & Biological Engineering & Computing
- Associate Editor, Signal, Image and Video Processing
PhD students:
Limei Wang
Limei Wang is a PhD candidate in the DBC lab. She is working on autism early diagnosis.
Yue Sun
Yue Sun is is a PhD candidate in the DBC lab. She is currently working on the infant cerebellum growth trajectory from newborn to 5 years old.
Former Members
Kun Gao was 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.
Qian Zhang was a Ph.D. student at the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Dr. Jian Chen 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 was a former member in the lab and her research included early diagnosis of autism and hippocampus segmentation based on the structural MR images.
Dr. Chen Xu (postdoctoral fellow)
Dr. Deqiang Xiao (postdoctoral fellow)