On February 10, 2025, Daniel Schaudt successfully defended his PhD thesis entitled

 
Improving Deep Learning Performance under Scarce Data Conditions in Medical Imaging
 

at Ulm University, Germany. The DBIS team is pleased to congratulate Daniel on his successful PhD defense (Dr. rer. nat.) and wishes him all the best for his future career. 
Daniel Schaudt was jointly supervised by Prof Manfred Reichert and Prof Reinhold von Schwerin (Ulm University of Applied Sciences) as part of a cooperative doctoral project. In his dissertation, he developed advanced methods for dealing with data scarcity when applying deep learning methods in medical image analysis. Daniel is currently working as a project manager at DASU (Transfer Centre for Digitisation, Analytics and Data Science Ulm), of which his two supervisors Prof. Reichert and Prof. von Schwerin are also members of the board.  
Members of the PhD committee

• Prof. Dr. Manfred Reichert (Ulm University, Co-Supervisor & Referee)

• Prof. Dr. Reinhold von Schwerin (University of Applied Sciences Ulm, Co-Supervisor & Referee)

• Prof. Dr. Björn Schuller (TU Munich, External Referee)

• Prof. Dr. Meinrad Beer (Ulm University, Committee Member)

• Prof. Dr. Matthias Tichy (Ulm University, Chairman)