text2brain
importedsoftware/text2brain
Generating brain activation maps from free-form text query
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/ngohgia/text2brain
- Documentation
- unknown
- Tags
- deep-neural-networks · machine-learning · meta-analysis · neuroimaging · scibert
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- brainspell-neometa-analysis · neuroimaging
Working on a new version of Brainspell (an open-source platform for neuroimaging literature) to make a public JSON API that collaborators can contribute to, switch out the stack for better…
- NiMAREmeta-analysis · neuroimaging
Coordinate- and image-based meta-analysis in Python
- Normative-modelling-using-deep-autoencodersdeep-neural-networks · neuroimaging
Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease
- ERPscanrmeta-analysis
Automated meta-analysis of event-related potential (ERP) research.
- learn-r-with-aimeta-analysis
Learn R statistics for clinical research with AI assistance—interactive Quarto tutorial from zero programming knowledge to publication-ready biostatistics analysis.
- mcdevitt-trauma-mlmeta-analysis
This repository contains the scripts for the ML-Trauma project of the McDevitt Lab at NYU.
- api.github.com/repos/ngohgia/text2brainretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-10-23, 28 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 →
/v1/entries/0.json→ .entries["text2brain"]
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