Markus Bujotzek

Markus Bujotzek is a Ph.D. student at the Medical Image Computing departement at the German Cancer Research Center (DKFZ) Heidelberg. In March 2022, he completed his masters in Medical Engineering at the University of Stuttgart where he worked on Contrastive Learning from weak annotations for medical image segmentation. His current research is focused on Federated Learning (FL) in real-world clinical scenarios. Therefore, he develops on the FL functionality of the in-house medical imaging platform Kaapana, which he uses to investigate FL methods and FL infrastructure in the real-world clinical application.

Projects:

• Kaapana
• RACOON

Interests:

• Real-world Federated Learning in medical image analysis
• Federated Learning on non-iid data
• Medical imaging platforms
• Medical image segmentation