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HarmonizedMRI.github.io

imported

software/harmonizedmri-github-io

Official website for HarmonizedMRI—a platform dedicated to sharing MRI harmonization projects and resources.

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

HarmonizedMRI.github.io project image
GitHub preview card for HarmonizedMRI/HarmonizedMRI.github.io. 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
HarmonizedMRI
Country
unknown
Documentation
unknown
Tags
diffusion-mri · fmri · harmonization · image-processing · medical-imaging · mri · open-source · pulseq · quantitative-mri · research · sequence-programming
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.

  • pypulseq-starmedical-imaging · mri · pulseq

    Relationship-aware MRI pulse sequence programming for practical multi-vendor harmonization, with PyPulseq-style authoring and export to Pulseq .seq and gammaSTAR .seq.json.

  • pulservermri · pulseq

    A PyPulseq-based client/server MR sequence design toolbox.

  • pypulseqmri · pulseq

    Pulseq in Python

  • intensity-normalizationharmonization · mri

    Normalize MR image intensities in Python

  • Nifti.NETfmri · medical-imaging · mri

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

  • DTI-NODDIdiffusion-mri · mri

    :brain: DTI-NODDI: Create NODDI maps from DTI (either "FA and MD" or "L1, L2, and L3")

sources
  1. api.github.com/repos/HarmonizedMRI/HarmonizedMRI.github.io
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-15, 7 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/9.json→ .entries["harmonizedmri-github-io"]

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