Stefan Denner

Stefan Denner is a PhD candidate at the Division of the Medical Image Computing (MIC) at the German Cancer Research Center (DKFZ) as part of the European Laboratory for Learning and Intelligent Systems (ELLIS). He is co-supervised by Prof. Mihaela van der Schaar from the University of Cambridge. One of the chief obstacles to the development and clinical implementation of Al algorithms is the availability of sufficiently large, curated, and representative datasets based on expert labeling. Collecting such curated data requires many hours of manual work but is crucial for downstream model performances. Within his PhD, he investigates human-centered machine learning methods enabling physicians to curate high-quality datasets. The goal is to support physicians in this process by understanding the dataset's limitations and suggesting new samples leading to a more representative and robust dataset.

Projects:

• Kaapana
• RACOON

Interests:

• Representation Learning
• Data Curation
• Medical imaging platforms
• Medical image segmentation