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IBMMA

imported

software/ibmma

Image-Based Meta- & Mega-Analysis (IBMMA)

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

IBMMA project image
GitHub preview card for sundelinustc/IBMMA. 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
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
brain · enigma · matrix · mega · meta · neuroimaging · nifti
Regulatory
unknown
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.

  • ENIGMAenigma

    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…

  • brain2scalpbrain · neuroimaging · nifti

    Map MNI, Talairach or native-space brain coordinates to their nearest scalp entry point

  • API specification for gematik's TI-Messenger - a messaging standard, which will enable healthcare personnel in the German healthcare sector to communicate interoperable via DSGVO-conform…

  • babysegneuroimaging · nifti

    Brain segmentation across the first years of life

  • batch_niistatsneuroimaging · nifti

    Calculate descriptive statistics for large numbers of 3D .nii files and return the output as a .csv file. Pure python code that works very quickly on all operating systems.

  • dcm2niixneuroimaging · nifti

    dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

sources
  1. api.github.com/repos/sundelinustc/IBMMA
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-10-06, 11 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/51.json→ .entries["ibmma"]

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