IMIG.SCIENCE

The Artificial Intelligence in Medical Imaging (AIMI) group focusses on interdisciplinary questions in medical imaging across applications and modalities by developing robust & reliable machine learning approaches, including and beyond microscopy. We are especially interested in advancing computational methods for intraoperative & multimodal imaging and machine learning in the context of microscopy. Additionally, we work on fundamental aspects in machine learning: we develop tools for efficient labelling and data set generation, investigate the impact of human behaviour in this process, and research methods for label-efficient learning... The Visual Computing Research Group focuses on bringing AI-based solutions to the application in the clinical environment. This includes the very relevant question around inducing bias into the medical decision process and other use case topics. We are working in close collaboration with pathologists and radiologists and investigate robustness and..