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iBEAT: Infant Brain Extraction and Analysis Toolbox

About iBEAT

iBEAT is a toolbox for processing infant brain MR images, using multimodality (including T1w and T2w) or single-modality. Main functions of the software (step by step) include image preprocessing, brain extraction, tissue segmentation and brain labeling. The software is developed by the IDEA group at the University of North Carolina at Chapel Hill. iBEAT was first developed in 2012, now re-developed with more advanced techniques.


Dr. Li Wang: li_wang@med.unc.edu
Dr. Gang Li: gang_li@med.unc.edu
130 Mason Farm Road
Chapel Hill, NC 27599
United States

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