neuroCombat

imported

software/neurocombat

Harmonization of multi-site imaging data with ComBat (Python)

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

neuroCombat project image — GitHub preview card for Jfortin1/neuroCombat. 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: dormant
Maturity: deployed
Organization: unknown
Country: unknown
Homepage: unknown
Repository: github.com/Jfortin1/neuroCombat
Documentation: unknown
Tags: combat · harmonization · mri-images · multi-site-imaging · neuroimaging · normalization · python
Regulatory: unknown

built by · 2

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.

neurocombat_sklearncombat · harmonization · neuroimaging · normalization
Implementation of Combat harmonization method with scikit-learn compatible format
intensity-normalizationharmonization · neuroimaging · normalization
Normalize MR image intensities in Python
confoundscombat · neuroimaging
Conquering confounds and covariates: methods, library and guidance
HarmonizedMRI.github.ioharmonization
Official website for HarmonizedMRI—a platform dedicated to sharing MRI harmonization projects and resources.
harmonyharmonization
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
Capstone_final_year_projectmri-images · neuroimaging
This is our final year ongoing work.

sources

api.github.com/repos/Jfortin1/neuroCombat
retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-04-20, 176 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/36.json→ .entries["neurocombat"]

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