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niftiai

imported

software/niftiai

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

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

niftiai project image
GitHub preview card for codingfisch/niftiai. 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
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/codingfisch/niftiai
Documentation
unknown
Tags
brain-imaging · brain-mri · colab · deep-learning · fastai · gpu · imaging · machine-learning · medical-imaging · neuroimaging · nifti · python · pytorch
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.

  • niftiviewbrain-imaging · brain-mri · imaging · medical-imaging · neuroimaging

    View volumetric images in Python 🧠

  • niftiview-appbrain-imaging · brain-mri · imaging · medical-imaging · neuroimaging

    Standalone app for viewing volumetric images 🧠 based on Python

  • NeuroMorph-Assessmentbrain-imaging · brain-mri · medical-imaging · neuroimaging

    An automated structural MRI morphometry system integrating CAT12 processing, brain tissue quantification, visualization, and automated report generation.

  • n4axbrain-imaging · gpu · medical-imaging · neuroimaging

    JAX/GPU N4 bias field correction — a fast drop-in match for SimpleITK N4 (~2600x faster on A100, <0.2% match)

  • mindGlidebrain-mri · medical-imaging · neuroimaging · pytorch

    Brain MRI segmentation for multiple sclerosis — any sequence, any quality. pip install mindglide

  • clinicadlbrain-imaging · medical-imaging · neuroimaging · pytorch

    Open-source Python library for reproducible deep learning in neuroimaging

sources
  1. api.github.com/repos/codingfisch/niftiai
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-11-28, 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/35.json→ .entries["niftiai"]

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