DOSMA
importedsoftware/dosma
An AI-powered open-source medical image analysis toolbox
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/ad12/DOSMA
- Documentation
- unknown
- Tags
- deep-learning · medical-image-analysis · mri · musculoskeletal
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- scope-mrimri · musculoskeletal
Resource for getting started with deep learning for MRIs/CTs. This codebase accompanies the release of the SCOPE-MRI dataset and paper (Sethi et al., NPJ AI 2025)
- 3dMRISegmentationmedical-image-analysis · mri
Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."
- atommicmedical-image-analysis · mri
ATOMMIC: Advanced Toolbox for Multitask Medical Imaging Consistency
- ccnetmedical-image-analysis · mri
Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"
- Dicom-Image-Registration-Pythonmedical-image-analysis · mri
Dicom Image Registration Program in Python using a modified SimpleITK/SimpleElastix module compiled from source
- MRI-parameter-predictionmedical-image-analysis · mri
(MIDL 2023) Code for "Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images"
- api.github.com/repos/ad12/DOSMAretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-08-19, 75 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 →
/v1/entries/59.json→ .entries["dosma"]
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