A collection of resources on applications of multi-modal learning in medical imaging.
GitHub repository with 963 stars and 81 forks.
Topics: medical-imaging, medical-report-generation, multimodal-deep-learning, multimodal-learning, visual-question-answering, large-language-models, large-multimodal-models, multimodal-large-language-models
2026-06-09: 963 stars and 81 forks.
Awesome list for medical imaging agents: radiology agents, pathology agents, segmentation agents, medical VLM agents, self-evolving agents, benchmarks, datasets, tools, and papers.
GitHub repository with 17 stars and 0 forks.
Trending score: 0.96; stars gained: +2; forks gained: +0.
Language: Python
Topics: agents, ai-agents, awesome, deep-learning, healthcare, medical-image-analysis
Tula is an open-source collection of OpenClaw skills, configurations, and patterns designed to transform a general-purpose AI agent into a personal health intelligence assistant.
GitHub repository with 38 stars and 4 forks.
Trending score: 0.80; stars gained: +1; forks gained: +0.
Language: TypeScript
Topics: ai-agent, biomarkers, ehr, fhir, genomics, health
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
GitHub repository with 1,623 stars and 733 forks.
Trending score: 0.47; stars gained: +0; forks gained: +0.
Language: C++
Topics: itk, insight-toolkit, image-analysis, medical-imaging, scientific-computing, open-science
DICOM Web Viewer: open source zero footprint medical image library.
GitHub repository with 1,822 stars and 620 forks.
Trending score: 0.42; stars gained: +0; forks gained: +0.
Language: JavaScript
Topics: dicom, dicom-viewer, javascript, medical-imaging, viewer, zero-footprint
MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.
GitHub repository with 54 stars and 16 forks.
Trending score: 0.40; stars gained: +1; forks gained: +0.
Language: Python
Topics: deep-learning, medical-imaging, image-segmentation, 3d-medical-imaging-segmentation, pytorch, nnunet
MNE-CPP: The C++ framework for real-time functional brain imaging.
GitHub repository with 172 stars and 141 forks.
Trending score: 0.34; stars gained: +0; forks gained: +0.
Language: C++
Topics: neuroscience, meg, eeg, computational-neuroscience, c-plus-plus, qt
Awesome list for medical imaging agents: radiology agents, pathology agents, segmentation agents, medical VLM agents, self-evolving agents, benchmarks, datasets, tools, and papers.
GitHub repository with 17 stars and 0 forks.
Trending score: 0.96; stars gained: +2; forks gained: +0.
Language: Python
Topics: agents, ai-agents, awesome, deep-learning, healthcare, medical-image-analysis
Tula is an open-source collection of OpenClaw skills, configurations, and patterns designed to transform a general-purpose AI agent into a personal health intelligence assistant.
GitHub repository with 38 stars and 4 forks.
Trending score: 0.80; stars gained: +1; forks gained: +0.
Language: TypeScript
Topics: ai-agent, biomarkers, ehr, fhir, genomics, health
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
GitHub repository with 1,623 stars and 733 forks.
Trending score: 0.47; stars gained: +0; forks gained: +0.
Language: C++
Topics: itk, insight-toolkit, image-analysis, medical-imaging, scientific-computing, open-science
DICOM Web Viewer: open source zero footprint medical image library.
GitHub repository with 1,822 stars and 620 forks.
Trending score: 0.42; stars gained: +0; forks gained: +0.
Language: JavaScript
Topics: dicom, dicom-viewer, javascript, medical-imaging, viewer, zero-footprint
MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.
GitHub repository with 54 stars and 16 forks.
Trending score: 0.40; stars gained: +1; forks gained: +0.
Language: Python
Topics: deep-learning, medical-imaging, image-segmentation, 3d-medical-imaging-segmentation, pytorch, nnunet
MNE-CPP: The C++ framework for real-time functional brain imaging.
GitHub repository with 172 stars and 141 forks.
Trending score: 0.34; stars gained: +0; forks gained: +0.
Language: C++
Topics: neuroscience, meg, eeg, computational-neuroscience, c-plus-plus, qt