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dmipy

imported

software/dmipy

The open source toolbox for reproducible diffusion MRI-based microstructure estimation

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

dmipy project image
GitHub preview card for AthenaEPI/dmipy. 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
AthenaEPI
Country
unknown
Homepage
unknown
Repository
github.com/AthenaEPI/dmipy
Documentation
unknown
Tags
axcaliber · ball-and-racket · ball-and-stick · constrained-spherical-deconvolution · diffusion-mri · diffusion-time-dependence · microscopic-diffusion-imaging · microstructure-estimation
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.

  • DTI-NODDIdiffusion-mri

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

  • erwindiffusion-mri

    Quantitative MRI toolbox in Python

  • FOD-Netdiffusion-mri

    FOD-Net: A Deep Learning Method for Fiber Orientation Distribution Angular Super Resolution

  • HarmonizedMRI.github.iodiffusion-mri

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

  • lifediffusion-mri

    Please use the new version of LiFE: www.github.com/brain-life/encode

  • MCDC_Simulator_publicdiffusion-mri

    The Monte Carlo Diffusion and Collision simulator (MC/DC), is a C++ open-source Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) Monte Carlo Simulator.

sources
  1. api.github.com/repos/AthenaEPI/dmipy
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-15, 121 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/6.json→ .entries["dmipy"]

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