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smriprep

imported

software/smriprep

Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)

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

smriprep project image
GitHub preview card for nipreps/smriprep. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
nipreps
Country
unknown
Homepage
nipreps.org/smriprep
Repository
github.com/nipreps/smriprep
Documentation
unknown
Tags
image-processing · image-registration · image-segmentation · mri · structural-mri · surface-reconstruction
Regulatory
unknown
built by · 6

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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    automatically create cortical flatmaps from FreeSurfer surfaces

  • Dicom-Image-Registration-Pythonimage-processing · image-registration · mri

    Dicom Image Registration Program in Python using a modified SimpleITK/SimpleElastix module compiled from source

  • HippMapp3rimage-processing · image-segmentation · mri

    AICONSlab's hippocampal segmentation algorithm using CNNs

  • ANTsimage-registration · image-segmentation

    Advanced Normalization Tools (ANTs)

  • FAIR.mimage-processing · image-registration

    Flexible Algorithms for Image Registration

sources
  1. api.github.com/repos/nipreps/smriprep
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 165 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/15.json→ .entries["smriprep"]

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