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iBEAT V2.0: Infant Brain Extraction and Analysis Toolbox


The number of cases each user can submit daily is now limited to 10 subjects in order to share our limited computational resources between all users. This evaluation version of iBEAT Cloud is free for non-commercial and non-medical purposes. Please contact li_wang@med.unc.edu and gang_li@med.unc.edu for processing large amount of data. We are looking for collaboration to evaluate and further improve our platform, so please contact us with any feedback.

You must upload an anonymized and compressed zip file.

We recommend to submit both T1w and T2w, for a better tissue segmentation.

  1. In the zip file, subjects with both T1w and T2w should be named as, subject-*-T1w.nii and subject-*-T2w.nii , where * has to be a number, e.g.,



2. For cases with one single modality (e.g., T1w), they should be named as:


3. To save our computational cost, please make sure there are no duplicate subjects in your current submission and also previous submissions. 

If you have not received any results within 1 week, please kindly let us know. Sorry that there might be some delay due to submission peaks recently.

iBEAT V2.0 is a toolbox for processing infant brain MR images, using multimodality (including T1w and T2w) or single-modality. 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. Dinggang Shen: dinggang_shen@med.unc.edu
Dr. Li Wang: li_wang@med.unc.edu
Dr. Gang Li: 
130 Mason Farm Road
Chapel Hill, NC 27599
United States

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