Request for DOMINO models
You are requesting to download the DOMINO pre-trained models. In doing so, you are agreeing to the following terms of use:

DOMINO models Terms of Use:

These models are pre-trained model for user testing.  By submitting this form, you are agreeing to these terms of use.

CITING

If you are using our code and model, please cite our papers:

@InProceedings{stolte2022DOMINO, author="Stolte, Skylar E. and Volle, Kyle and Indahlastari, Aprinda and Albizu, Alejandro and
Woods, Adam J. and Brink, Kevin and Hale, Matthew and Fang, Ruogu",
title="DOMINO: Domain-aware Model Calibration in Medical Image Segmentation", booktitle="Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022", year="2022", url="https://arxiv.org/abs/2209.06077" }

ACKNOWLEDGEMENT

This work was supported by the National Institutes ofHealth/National Institute on Aging (NIA RF1AG071469, NIA R01AG054077),the National Science Foundation (1908299), and the NSF-AFRL INTERN Sup-plement (2130885).

We acknowledge NVIDIA AI Technology Center (NVAITC)for their suggestions. We also thank Jiaqing Zhang for formatting assistance.

We employ UNETR as our base model from: https://github.com/Project-MONAI/research-contributions/tree/main/UNETR


CONTACT

Any discussion, suggestions and questions please contact: Skylar Stolte, Dr. Ruogu Fang.

Smart Medical Informatics Learning & Evaluation Laboratory, 
Dept. of Biomedical Engineering
University of Florida
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