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brainextractor

imported

software/brainextractor

Brain Extraction Tool in Python

Machine-generated from the listed sources and not yet reviewed by a human.

brainextractor project image
GitHub preview card for vanandrew/brainextractor. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
brain-extraction · fsl · image-processing · neuroimaging · neuroscience · python · segmentation · skull-stripping
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • deepbetbrain-extraction · neuroimaging · segmentation · skull-stripping

    Fast brain extraction using neural networks

  • deepmriprepbrain-extraction · neuroimaging · segmentation · skull-stripping

    Neural network-based MRI preprocessing: Prep 🧠 images in seconds 🔥

  • atlasBREXbrain-extraction · fsl

    atlasBREX: Automated averaged template-derived brain extraction in animal MRI

  • macapypebrain-extraction · fsl

    PNH segmentation pipelines based on nipype

  • clinicafsl · neuroimaging · neuroscience

    Software platform for clinical neuroimaging studies

  • fsl_slurmfsl · neuroimaging · neuroscience

    A modified FSL version for use with Slurm

sources
  1. api.github.com/repos/vanandrew/brainextractor
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-13, 45 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/45.json→ .entries["brainextractor"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.