This app takes binarized rois (tract endpoints) and computes a probabilistic atlas normalized across subjects.
Input:
- subject pool of binarized rois
output:
- probabilistic (0-1) mask of input rois
brainlife.io is publicly funded and for the sustainability of the project it is helpful to Acknowledge the use of the platform. We kindly ask that you acknowledge the funding below in your code and publications. Copy and past the following lines into your repository when using this code.
We ask that you the following articles when publishing papers that used data, code or other resources created by the brainlife.io community.
- Avesani, P., McPherson, B., Hayashi, S. et al. The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services. Sci Data 6, 69 (2019). https://doi.org/10.1038/s41597-019-0073-y
You can submit this App online at https://doi.org/10.25663/bl.app.444 via the "Execute" tab.
### Dependencies
This app requires binarized images to run properly.