Daniel Wulff, M. Sc.

PhD Student

Ratzeburger Allee 160
23562 Lübeck
Building 64, Room 87 (GF)

Phone: +49 451 31015225
Fax: +49 451 31015204
Daniel Wulff

Short Biography

Daniel Wulff completed his studies of Medical Engineering Science at the University of Lübeck in 2019 with the M.Sc. During his studies he worked in a medical technology company on the detection of patient movements in cone-beam CT imaging. Since mid 2019 Daniel Wulff is employed as a PhD student at the Institute of Robotics and Cognitive Systems and is working on deep learning based target tracking in 4D ultrasound for radiation therapy.

Research Interests

  • Real-Time motion compensation in radiation therapy (tracking)
  • Artificial Intelligence and Machine Learning
  • Medical image processing


  • VDE (Verband der Elektrotechnik Elektronik Informationstechnik e.V.)
  • DGBMT (Deutsche Gesellschaft für Biomedizinische Technik)
  • GI (Gesellschaft für Informatik e.V.)



Jonas Osburg, Daniel Wulff and Floris Ernst, Generalized Automatic Probe Alignment based on 3D Ultrasound, in: Current Directions in Biomedical Engineering, pages 58-61, 2022


Daniel Wulff, Jannis Hagenah and Floris Ernst, Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound (2021), in: Medical Imaging with Deep Learning (MIDL) 2021
Daniel Wulff, Mohamad Mehdi, Floris Ernst and Jannis Hagenah, Cross Data Set Generalization of Ultrasound Image Augmentation using Representation Learning: A Case Study, in: Current Directions in Biomedical Engineering, pages 755-758, 2021
Felix von Haxthausen, Sven Böttger, Daniel Wulff, Jannis Hagenah, Verónica García-Vázquez and Svenja Ipsen, Medical Robotics for Ultrasound Imaging: Current Systems and Future Trends (2021), in: Current Robotics Reports
Svenja Ipsen, Daniel Wulff, Ivo Kuhlemann, Achim Schweikard and Floris Ernst, Towards automated ultrasound imaging – robotic image acquisition in liver and prostate for long-term motion monitoring (2021), in: Physics in Medicine & Biology


Daniel Wulff, Jannis Hagenah, Svenja Ipsen and Floris Ernst, Learning Local Feature Descriptions in 3D Ultrasound, in: The 20th IEEE International Conference on BioInformatics and BioEngineering, IEEE Computer Society, pages 323-330, 2020


Daniel Wulff, Ivo Kuhlemann, Floris Ernst, Achim Schweikard and Svenja Ipsen, Robust motion tracking of deformable targets in the liver using binary feature libraries in 4D ultrasound, German Society for Biomedical Engineering, 2019