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BraTS

imported

software/brats

Providing top-performing algorithms from the Brain Tumor Segmentation (BraTS) challenges.

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

BraTS project image
GitHub preview card for BrainLesion/BraTS. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
BrainLesion
Country
unknown
Documentation
unknown
Tags
brain · inpainting · lesion · mri · segmentation · synthesis · tumor
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.

  • MU-Difflesion · mri · synthesis

    Official Pytorch implementation for MU-Diff: A Mutual Learning Diffusion Model for Synthetic MRI with Application for Brain lesions

  • Raidionics-Slicermri · segmentation · tumor

    3D Slicer plugin for automatic segmentation and generation of standardized clinical reports for the most common brain tumors, using MRI volumes

  • mama-synthmri · segmentation · synthesis

    MAMA-SYNTH Challenge @MICCAI 2026 and Deep-Breath 2026.

  • z-brainslesion · mri

    z-brains: open software for brain lesion lateralization and localization

  • BayesCapinpainting

    (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

  • segmentation-evalsegmentation · tumor

    Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.

sources
  1. api.github.com/repos/BrainLesion/BraTS
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 83 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/49.json→ .entries["brats"]

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