Karin Stacke received her MSc in Image analysis and visualization from Linköping University in 2016, with focus on medical image analysis. She is since 2018 an industrial PhD Candidate in the Computer Graphics and Image Processing group at Linköping University and Sectra AB, Linköping, under the supervision of Jonas Unger and Claes Lundström. Karin's main research interests are deep learning for medical image analysis, specifically how to build deep learning models which are robust and generalizable enough to be deployed and used in clinical practice.
Karin Stacke
Research area: deep learning for medical imaging, with focus on how data characteristics affect robustness and generalizability for clinical practice.
