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vesselFM_all.pt: VesselFM pre-trained on a version of our three proposed data sources (D_real, D_drand, and D_flow), including our evaluation set for potential increased performance. This checkpoint will be automatically downloaded in vesselfm/seg/inference.py.vesselFM_all_ema.pt: EMA version of vesselFM_all.pt.vesselFM_base.pt: VesselFM pre-trained on a version of our three proposed data sources (D_real, D_drand, and D_flow). Performance is similar to the model reported in the manuscript.1@InProceedings{Wittmann_2025_CVPR,
2 author = {Wittmann, Bastian and Wattenberg, Yannick and Amiranashvili, Tamaz and Shit, Suprosanna and Menze, Bjoern},
3 title = {vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation},
4 booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)},
5 month = {June},
6 year = {2025},
7 pages = {20874-20884}
8}