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HyperMapp3r

imported

software/hypermapp3r

AICONSlab's white matter hyperintensities (WMH) segmentation algorithm using CNNs

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

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
AICONSlab
Country
unknown
Documentation
unknown
Tags
deep-learning · image-segmentation · medical-imaging · mri · neuroimaging · wmh · wmh-segmentation
Regulatory
unknown
built by · 4

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.

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.

  • 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

sources
  1. api.github.com/repos/AICONSlab/HyperMapp3r
    retrieved 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 →

machine-readable

/v1/entries/34.json→ .entries["hypermapp3r"]

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