Hugging Face model: tomek1911/GEPAR3D
Author: tomek1911
Created: 2026-07-07 12:41:31
Last modified: 2026-07-07 15:21:44
Pipeline: image-segmentation
Library: pytorch
Likes: 3 | Downloads: 0
Tags: pytorch, medical-imaging, cbct, tooth-segmentation, dental, dentistry, orthodontics, 3d-segmentation, instance-segmentation, deep-watershed, statistical-shape-model, miccai-2025, monai, image-segmentation, arxiv:2508.00155, license:cc-by-nc-4.0, region:us
Card metadata:
license: cc-by-nc-4.0
pipeline_tag: image-segmentation
library_name: pytorch
tags: medical-imaging, cbct, tooth-segmentation, dental, dentistry, orthodontics, 3d-segmentation, instance-segmentation, deep-watershed, statistical-shape-model, miccai-2025, monai, pytorch
extra_gated_heading: Read the usage disclaimer before requesting access
extra_gated_description: GEPAR3D is a research artifact, not a production-ready or clinically validated system. Earlier versions of this repository withheld these final weights for exactly that reason: the coarse ROI segmentation weights, class-weighting parameters, and SSM-derived Wasserstein penalty matrix were released so the results could be fully reproduced by retraining from scratch, without enabling unsupervised deployment of a finished model. We are now releasing the trained weights as well, under CC-BY-NC-4.0 (to prevent uncredited or unlicensed commercial reuse) and behind manual access review (so we retain some visibility into who is using them and for what purpose). By requesting access you confirm you understand this model is NOT a certified medical device, has NOT been validated for clinical decision-making, and must NOT be used as the sole basis for diagnosis, treatment planning, or any patient-facing decision, and that you have read the "Bias, Risks, and Limitations" and "Out-of-Scope Use" sections of the model card below.

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