| # AI in CardioVascular Medicine Laboratory (AI-CVM) |
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| **Bern University Hospital · Switzerland** |
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| We build state-of-the-art machine learning and deep learning for cardiovascular disease. Our work spans multimodal data — medical images across modalities, signals, video, electronic health records, text, and omics — to tackle a broad range of clinical questions. |
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| 🌐 [Website](https://ai-cvm.org/) · 💻 [GitHub](https://github.com/AI-in-Cardiovascular-Medicine) |
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| ## What we release here |
| Open datasets, model weights, and tools for reproducible cardiovascular AI research. |
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| ## Featured projects |
| - **CCT-FM** — Foundation model and the largest comprehensive expert-annotated cardiac CT segmentation dataset (14 structures). |
| - **CTAug** — CT-specific augmentation library (metal, motion, calcification, wire artifacts). |
| - **nnUZoo** — Unified benchmark of CNN vs. Transformer vs. Mamba for medical image segmentation. |
| - **HolOrama** — GUI for cardiac IVUS, OCT, and CT segmentation and editing. |
| - **AAOCA** — Detection and classification of anomalous aortic origin of coronary arteries in CCTA. |
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| ## Get in touch |
| Interested in collaborating? Visit [ai-cvm.org](https://ai-cvm.org/) or explore our [repositories](https://github.com/AI-in-Cardiovascular-Medicine). |
