UF BME student Skylar Stolte was awarded Women in MICCAI (WiM) Best Oral Presentation Award Paper Runner-Up at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention. Skyler presented her work titled, “DOMINO: Domain-aware Calibration in Medical Image Segmentation,” in Singapore on Sep. 20. This work designs a novel similarity-based loss function to calibrate deep learning models. Calibration is essential for establishing trustworthiness and reliability in artificial intelligence (AI). Hence, this work contributes to the deployment of AI in high-risk applications such as medicine, autonomous driving, and finance. Skylar works with Dr. Ruogu Fang in the SMILE lab.