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HippMapp3r

imported

software/hippmapp3r

AICONSlab's hippocampal segmentation algorithm using CNNs

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

HippMapp3r project image
GitHub preview card for AICONSlab/HippMapp3r. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
AICONSlab
Country
unknown
Documentation
unknown
Tags
brain · cnn · deep-learning · hippocampus · image-processing · image-segmentation · medical-imaging · mri
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.

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  • HSFhippocampus · mri

    Hippocampal Segmentation Factory (HSF). A one-liner Deep Learning tool to segment raw T2w (and T1w) MRIs into hippocampal subfields in few seconds. Trained on 700+ manually segmented hippocampi.

  • MISTcnn · image-segmentation · medical-imaging

    MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.

  • smriprepimage-processing · image-segmentation · mri

    Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)

  • Brain tumors are the consequence of abnormal growths and uncontrolled cells division in the brain. They can lead to death if they are not detected early and accurately. Some types of brain tumor…

sources
  1. api.github.com/repos/AICONSlab/HippMapp3r
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-10-10, 31 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/45.json→ .entries["hippmapp3r"]

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