This BIDS App provides the utility of creating a nnU-Net anatomical MRI segmentation and mask with a infant brain trained model. It can easily be included in other processing pipelines and for circumventing JLF within Nibabies.
update workflow diagram to remove chirality correction with new release
Add instructions to RTDs to post issues to GitHub if people have problems/questions
clarify that age must be specified in units of months currently in all tsv files (participants.tsv, sessions.tsv if present, etc)
clarify that ALL anats are used for averaging, so if you want to exclude certain anats due to poor image quality, the best way currently to handle that is to remove them from BIDS inputs entirely
A short summary of what you would like to see in BIBSnet.
The readthedocs in general looks slightly out of date, so it would probably be useful to do a quick update
Just one example - https://github.com/DCAN-Labs/BIBSnet/blob/main/docs/comingsoon.md - I believe we integrated averaging into the pipeline a long time ago
Do you have any interest in helping implement the feature?
Yes!
Add any additional information or context about the request here.
No response