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Magnetic_Resonance_Imaging-Quality_Assessment

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software/magnetic-resonance-imaging-quality-assessment

Automated blind MRI quality assessment using 3D CNN + FC deep learning. Trains on ABIDE-1 (15 sites), achieves SOTA transfer to novel sites and Glioblastoma MRI from TCIA.

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
3d-cnn · abide · brain-imaging · deep-learning · medical-imaging · mri · no-reference · 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.

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sources
  1. api.github.com/repos/ashish-code/Magnetic_Resonance_Imaging-Quality_Assessment
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-28, 10 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/2.json→ .entries["magnetic-resonance-imaging-quality-assessment"]

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