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---
pipeline_tag: image-segmentation
tags:
- medical
- biology
- clinical
license: other
# license_name: openrail++-m
---
# vesselFM
**TL;DR**: VesselFM is a foundation model for universal 3D blood vessel segmentation in arbitrary imaging domains.
For details, please refer to our preprint (https://arxiv.org/pdf/2411.17386) and our GitHub repo (https://github.com/bwittmann/vesselFM).
---
### Checkpoints
We provide the following checkpoints:
- `vesselFM_base.pt`: VesselFM pre-trained on our three proposed data sources (D_real, D_drand, and D_flow). This checkpoint will be automatically downloaded in `vesselfm/seg/inference.py`.
### Citing vesselFM
If you find our work useful, please cite:
```bibtex
@InProceedings{Wittmann_2025_CVPR,
author = {Wittmann, Bastian and Wattenberg, Yannick and Amiranashvili, Tamaz and Shit, Suprosanna and Menze, Bjoern},
title = {vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation},
booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)},
month = {June},
year = {2025},
pages = {20874-20884}
}
```
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