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nipype-preprocess-on-brain-MR

imported

software/nipype-preprocess-on-brain-mr

The project is used to do preprocessing on brain MR images by using Nipype.

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

nipype-preprocess-on-brain-MR project image
GitHub preview card for NatLee/nipype-preprocess-on-brain-MR. 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
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/NatLee/nipype-preprocess-on-brain-MR
Documentation
unknown
Tags
acpc · ants · bias-field-correction · brain · brain-imaging · brain-mri · brain-segmentation · dockerfile
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.

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  • macapypeants · brain-segmentation

    PNH segmentation pipelines based on nipype

  • DARTSbrain-mri · brain-segmentation

    Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

  • Pipelines_Inmegendockerfile

    Flujos de trabajos desarrollados y automatizados en el Intituto Nacional de Medicina Genómica para el procesamiento de datos genómicos y transcriptómicos.

  • atlasBREXants · brain

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

  • Brain-IDbrain · brain-segmentation

    [ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

sources
  1. api.github.com/repos/NatLee/nipype-preprocess-on-brain-MR
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-06-18, 40 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/48.json→ .entries["nipype-preprocess-on-brain-mr"]

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