CineMA
importedsoftware/cinema
A Vision Foundation Model for Cine Cardiac Magnetic Resonance Imaging
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/mathpluscode/CineMA
- Documentation
- unknown
- Tags
- cardiac · cardiac-segmentation · cmr · disease-detection · self-supervised-learning · vision-foundation-model
- 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.
- 3D-UCapscardiac-segmentation
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)
- eye-diagnosis-attention-cnndisease-detection
A deep learning framework for automated diagnosis of Diabetic Retinopathy, AMD, and Glaucoma using a Hybrid Attention-CNN model. Combines ResNet50 with self-attention for enhanced accuracy and…
- Multi-Agent-Medical-Assistantdisease-detection
⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot. 🏥 Designed for healthcare professionals, researchers and patients.
- fenicsx-beatcardiac
Cardiac Electrophysiology solver in FEniCSx
- NeuroKitcardiac
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
- EchoDiffusioncardiac
MICCAI 2023 code for the paper: Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. EchoDiffusion is a collection of video diffusion models trained from scratch…
- api.github.com/repos/mathpluscode/CineMAretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-06-17, 61 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/26.json→ .entries["cinema"]
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