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fuse-med-ml

imported

software/fuse-med-ml

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

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

record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
BiomedSciAI
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
ai · cmmd · collaboration · ct · deep-learning · fuse · fuse-med-ml · fusemedml
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.

  • A 3D Viewer for CTs of Polychromed Wood Sculptures

  • [MICCAI 2024] All-In-One Medical Image Restoration via Task-Adaptive Routing (AMIR).

  • [ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

  • [Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation

  • calculates water equivalent area (Aw) and water equivalent circle diameter (Dw) for CT DICOM images, per AAPM 204 and AAPM 220

  • comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python and C++ APIs, a PyQt GUI, and fully integrated with PyTorch

sources
  1. api.github.com/repos/BiomedSciAI/fuse-med-ml
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-12, 159 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 →

machine-readable

/v1/entries/23.json→ .entries["fuse-med-ml"]

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