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tedana

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software/tedana

TE-dependent analysis of multi-echo fMRI

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

tedana project image
GitHub preview card for ME-ICA/tedana. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
LGPL-2.1(osi)
Status
active
Maturity
deployed
Organization
ME-ICA
Country
unknown
Homepage
tedana.readthedocs.io
Repository
github.com/ME-ICA/tedana
Documentation
unknown
Tags
brain-imaging · fmri · neuroimaging · python
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.

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  • fmriprepbrain-imaging · fmri · neuroimaging

    fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

  • hypercoilbrain-imaging · fmri · neuroimaging

    A differentiable program for mapping brain function

  • multi-echo-data-analysisbrain-imaging · fmri · neuroimaging

    Still a work in progress.

  • nifreezebrain-imaging · fmri · neuroimaging

    A flexible framework for volume-wise artifact estimation and correction across multiple 4D neuroimaging modalities (diffusion MRI, functional MRI, and PET)

  • niftiviewbrain-imaging · fmri · neuroimaging

    View volumetric images in Python 🧠

sources
  1. api.github.com/repos/ME-ICA/tedana
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-03, 189 stars, license reported as LGPL-2.1. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/60.json→ .entries["tedana"]

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