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software/modules

nf-neuro is a nextflow neuroimaging library maintained by the SCIL team

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

modules project image
GitHub preview card for nf-neuro/modules. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
active
Maturity
deployed
Organization
nf-neuro
Country
unknown
Documentation
unknown
Tags
analysis · ci-cd · image · modules · mri · neuroimaging · nextflow · processing
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.

  • NIPETanalysis · processing

    High-throughput PET image reconstruction with high quantitative accuracy and precision

  • Provides teal modules for the standard clinical trials outputs

  • bids2nfmri · neuroimaging · nextflow

    Emits nextflow channels from Brain Imaging Data Structure data.

  • sHDRimage · mri

    HDR-MRI Algorithms from "Local contrast-enhanced MR images via high dynamic range processing" published in MRM

  • ENIGMAanalysis · mri

    The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and…

  • pySTATISanalysis · mri

    Python implementation of STATIS for analysis of several data tables

sources
  1. api.github.com/repos/nf-neuro/modules
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-30, 21 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/42.json→ .entries["modules"]

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