Member – Developing Brain Computing Lab

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.