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dcm2niix

imported

software/dcm2niix

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

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

dcm2niix project image
GitHub preview card for rordenlab/dcm2niix. 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
rordenlab
Country
unknown
Documentation
unknown
Tags
bids-format · dcm · dcm2niix · dicom · dicom-images · gz · jpeg · jpeg-image · mri · mri-images · mricrogl · neuroimaging · neuroscience · nifti · nifti-format · nii · nitrc · research
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.

  • nii2dcmdcm · dicom · dicom-images · gz · mri · mri-images · nifti · nifti-format · nii

    nii2dcm: NIfTI to DICOM creation with Python

  • amidicom · dicom-images · nifti · nifti-format

    AMI Medical Imaging (AMI) JS ToolKit

  • DICOM-to-JPEG-Converterdcm · dicom · jpeg

    Convert DICOM medical images to JPEG for easy viewing, sharing, and AI model input (e.g. Google's MedGemma).

  • pylibjpegdcm · dicom · jpeg

    A Python framework for decoding JPEG images, with a focus on supporting pydicom

  • pylibjpeg-datadcm · dicom · jpeg

    Optional JPEG and DICOM data used for testing pylibjpeg

  • Nifti.NETmri · neuroimaging · nifti · nifti-format

    C# library for reading, writing, and manipulating NIfTI neuroimaging files.

sources
  1. api.github.com/repos/rordenlab/dcm2niix
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-25, 1181 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/7.json→ .entries["dcm2niix"]

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