openmedical/registry
← registry

micaopen

imported

software/micaopen

Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute

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

micaopen project image
GitHub preview card for MICA-MNI/micaopen. 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
maintained
Maturity
deployed
Organization
MICA-MNI
Country
unknown
Documentation
unknown
Tags
connectomics · gradients · histology · machine-learning · multi-scale · multimodal · networks · neuroimaging
Regulatory
unknown
built by · 6

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.

  • RARE-UNetmulti-scale

    This repository features RARE-UNet a resolution-aware 3D U-Net for adaptive medical segmentation. It uses multi-scale entry blocks and resolution-based routing to dynamically adjust the inference…

  • favanetworks

    Functional Associations using Variational Autoencoders

  • pybelnetworks

    🌶️ An ecosystem in Python for working with the Biological Expression Language (BEL)

  • spkmcnetworks

    High-performance epidemic simulation on complex networks using the Shortest Path Kinetic Monte Carlo algorithm

  • ANHIR_MWhistology

    Software used by the AGH team during the ANHIR challenge.

  • axondeepseghistology

    Axon/Myelin segmentation using Deep Learning

sources
  1. api.github.com/repos/MICA-MNI/micaopen
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-05-09, 84 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/63.json→ .entries["micaopen"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.