Project-MONAI / Project-MONAI/model-zoo
Add mindgrab skull-stripping bundle
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- Dominant language
- Python
- Stars
- 338
- Forks
- 106
- PR merge metrics
- No merged PRs in 30d
Description
- What: port the mindgrab model to the MONAI bundle format
- Why: MONAI-ecosystem interoperability (MONAI Label, MONAI Deploy, monai.bundle tooling), not a replacement for brainchopC's own engine
- Model background: skull stripping / brain extraction, MeshNet-style dilated 3D CNN, from the MindGrab paper (Fani et al., NeuroImage 2026)
- Planned validation approach: bit-exact check against the reference brainchopC implementation
- A note that the bundle is already implemented and a PR will follow
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked mindgrab/model.json and the reference brainchopC implementation. Compare the existing bundle implementation with MONAI Bundle conventions, then validate it with the planned bit-exact check against brainchopC. Done means the skull-stripping model is available in MONAI Bundle format and matches the reference output.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100