University of North Carolina at Chapel Hill · Biomedical EngineeringBrain Imaging and Autism Research Lab
Li Wang · Chapel Hill, North Carolina
Research Focus
Dr. Li Wang's lab at UNC Chapel Hill focuses on developing advanced computational tools for analyzing brain imaging data, specifically to study early brain development in infants at risk of autism. The lab's goal is to create methods that can accurately segment and identify brain structures from MRI scans, potentially leading to earlier diagnosis and intervention for autism. By leveraging large-scale neuroimaging datasets, their research seeks to improve our understanding of autism development and create resources for the scientific community.
autismbrain imagingMRIcomputational toolsearly interventionneuroimagingbiomarkerstissue segmentationdevelopment trajectoriesmachine learning
Research Aims
4AIM 01Develop a contrast-enhancement network for better tissue visibility in infant MRIs.
AIM 02Create a super-resolution and segmentation approach for cerebellum imaging.
AIM 03Build a hybrid framework for brain parcellation based on extensive neuroimaging data.
AIM 04Establish a regression and diagnosis model integrating multimodal MRI features for autism evaluation.
Skills the Lab Values
MRI analysisimage segmentationdata processingmachine learningsoftware developmentneuroimaging techniquescomputational modelingdata visualizationPython programmingstatistical analysis
Output against the department
Publications1,274top 3% of dept.17th of 595
this lab
most publishedleast published
Citations44ktop 4% of dept.25th of 595
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.