openmedical/registry
← registry

HemiSpec

imported

software/hemispec

Hemispheric-Specific Brain Modeling and Analysis Based on Generative Adversarial Networks

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

HemiSpec project image
GitHub preview card for mqqq333/HemiSpec. 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
unknown
Country
unknown
Homepage
mqqq333.github.io/HemiSpec/
Repository
github.com/mqqq333/HemiSpec
Documentation
unknown
Tags
brain-imaging · brain-modeling · computational-neuroscience · gan · hemispheric-specificity · mkdocs-material · neuroimaging · neuroscience · nifti · python
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.

  • langbrainscorecomputational-neuroscience · neuroimaging · neuroscience

    [Marked for Deprecation. please visit https://github.com/brain-score/language for the migrated project] Benchmarking of Language Models using Human Neural and Behavioral experiment data

  • nibabelbrain-imaging · neuroimaging · nifti

    Python package to access a cacophony of neuro-imaging file formats

  • niftiaibrain-imaging · neuroimaging · nifti

    Train neural nets on 3D images (e.g. MRIs) 🧠

  • BrainDiVEbrain-imaging · computational-neuroscience

    Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models (NeurIPS 2023 Oral)

  • dcm2niixneuroimaging · neuroscience · nifti

    dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

  • vscode-neuro-viewerneuroimaging · neuroscience · nifti

    Check metadata and visualize neuroimages within VSCode.

sources
  1. api.github.com/repos/mqqq333/HemiSpec
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-11, 4 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/19.json→ .entries["hemispec"]

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