MICCAI 2021 Daily – Thursday

“ This is my first time working with medical data, but thankfully all my co- authors have plenty of experience in this area and in the medical domain, so it worked out great, ” she adds. “ In medical applications, we want the models to be trustworthy and we want to have unbiased volume estimates. With our work, we are showing that focusing on model calibration is sufficient and calibration error is in fact a superior model selection criterion also with respect to volume bias. ” To learn more about Teodora’s work [Paper ID 2115], you are invited to visit Poster Session Th-S4 Image Segmentation + Domain Adaptation today at 17:30 – 19:00 UTC. 15 DAILY MICCAI Thursday Teodora Popordanoska