The Medical Anomaly Detection (MANO) group develops cutting-edge AI methods to analyze and understand medical data, operating under the motto "AI for Biomarker Discovery and Beyond". Our research spans a wide array of machine learning techniques, including anomaly detection, segmentation, unsupervised learning, domain generalization, and patient outcome prediction, with a special emphasis on detecting anomalies in medical imaging.
