Veronika Cheplygina

About

Veronika Cheplygina is an Associate Professor at the IT University in Denmark. Her research areas include deep learning applications in medical imaging, particularly in the detection and segmentation of medical images, as well as methods for improving model sensitivity and addressing methodological challenges in the field. Recent publications include works on eelgrass detection, crowdsourcing for medical image annotations, and the development of advanced loss functions for image segmentation.