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nii2mesh

imported

software/nii2mesh

Convert NIfTI volume to triangulated mesh using marching cubes

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

nii2mesh project image
GitHub preview card for neurolabusc/nii2mesh. 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
unknown
Country
unknown
Homepage
rordenlab.github.io/nii2meshWeb/
Repository
github.com/neurolabusc/nii2mesh
Documentation
unknown
Tags
3d · marching-cubes · medical-imaging · mesh-generation · mesh-simplification · mri-images · nifti-format · obj-format
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.

  • nii2meshWeb3d · marching-cubes · medical-imaging · mesh-generation · mesh-simplification · nifti-format

    Online NIfTI voxels to triangulated mesh conversion

  • DicomToMesh3d · mesh-generation

    A command line tool to transform a DICOM volume into a 3d surface mesh (obj, stl or ply). Several mesh processing routines can be enabled, such as mesh reduction, smoothing or cleaning. Works on…

  • dcm2niixmri-images · nifti-format

    dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

  • nii2dcmmri-images · nifti-format

    nii2dcm: NIfTI to DICOM creation with Python

  • FastTIFF3d · mri-images

    FastTIFF - the lightning-fast tiff viewer

  • nektonmedical-imaging · nifti-format

    A python package for DICOM to NifTi and NifTi to DICOM-SEG and GSPS conversion

sources
  1. api.github.com/repos/neurolabusc/nii2mesh
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-08, 186 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/22.json→ .entries["nii2mesh"]

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