visualqc
importedsoftware/visualqc
VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- raamana.github.io/visualqc/
- Repository
- github.com/raamana/visualqc
- Documentation
- unknown
- Tags
- alignment · anatomical-mri · cortex · fmri · freesurfer · medical-imaging · mri-images · neuroimaging
- 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.
- graynetanatomical-mri · freesurfer
Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)
- brainstemx-fullfreesurfer · neuroimaging
Why should radiologists rely on eyesight alone, when computer vision and amazing open-source processing frameworks are already available. This respository hosts the full bash-based pipeline, whilst…
- autoflattenanatomical-mri · neuroimaging
automatically create cortical flatmaps from FreeSurfer surfaces
- neuropredictanatomical-mri · neuroimaging
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
- neuroCombatmri-images · neuroimaging
Harmonization of multi-site imaging data with ComBat (Python)
- VNet3Dmedical-imaging · mri-images
Prostate MR Image Segmentation 2012
- api.github.com/repos/raamana/visualqcretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-12-27, 76 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/33.json→ .entries["visualqc"]
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