HyperMapp3r
importedsoftware/hypermapp3r
AICONSlab's white matter hyperintensities (WMH) segmentation algorithm using CNNs
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- AICONSlab
- Country
- unknown
- Homepage
- hypermapp3r.readthedocs.io/
- Repository
- github.com/AICONSlab/HyperMapp3r
- Documentation
- unknown
- Tags
- deep-learning · image-segmentation · medical-imaging · mri · neuroimaging · wmh · wmh-segmentation
- 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.
- HippMapp3rimage-segmentation · medical-imaging · mri
AICONSlab's hippocampal segmentation algorithm using CNNs
- brainchopmedical-imaging · mri · neuroimaging
Brainchop: In-browser 3D MRI rendering and segmentation
- iCVMapp3rmedical-imaging · mri · neuroimaging
AICONSlab's brain extraction (skull-stripping) algorithm using CNNs
- ANTsimage-segmentation · neuroimaging
Advanced Normalization Tools (ANTs)
- smriprepimage-segmentation · mri
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
- ACC-UNetimage-segmentation · medical-imaging
ACC-UNet is A Completely Convolutional UNet model inspired from transformer-based UNets
- api.github.com/repos/AICONSlab/HyperMapp3rretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-10-04, 21 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/34.json→ .entries["hypermapp3r"]
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