Computer Vision News - October 2021

41 Teodora Popordanoska Best of MICCAI 2021 “ Macedonia is a very small but beautiful country, ” she tells us. “ The people are warm and nice. I’m always glad to go back there! ” Teodora reveals the most challenging part of this work for her was discussing the clinical relevance of the theoretical results. “ 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. ”