M. Sc. Daniel Wulff

Photo of Daniel Wulff


Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, Raum 87

Email: d.wulff(at)uni-luebeck.de
Phone: +49 451 31015225
Fax: +49 451 31015204

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

Memberships

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

2023

Daniel Wulff, Jannis Hagenah, and Floris Ernst,
Landmark tracking in 4D ultrasound using generalized representation learning, Int J CARS , vol. 18, pp. 493-500, 2023.
Daniel Wulff, Timon Dohnke, Ngoc Thinh Nguyen, and Floris Ernst,
Towards Realistic 3D Ultrasound Synthesis: Deformable Augmentation using Conditional Variational Autoencoders, IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS) , pp. 821-826, 2023.
DOI:10.1109/CBMS58004.2023.00326
File: CBMS58004.2023.00326

2022

Jonas Osburg, Daniel Wulff, and Floris Ernst,
Generalized Automatic Probe Alignment based on 3D Ultrasound, 2022. pp. 58-61.
DOI:10.1515/cdbme-2022-0015
File: cdbme-2022-0015

2021

Daniel Wulff, Jannis Hagenah, and Floris Ernst,
Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound, 2021.
File: 2201.03319
Daniel Wulff, Mohamad Mehdi, Floris Ernst, and Jannis Hagenah,
Cross Data Set Generalization of Ultrasound Image Augmentation using Representation Learning: A Case Study, 2021. pp. 755-758.
DOI:10.1515/cdbme-2021-2193
File: cdbme-2021-2193
Felix Haxthausen, Sven Böttger, Daniel Wulff, Jannis Hagenah, Verónica García-Vázquez, and Svenja Ipsen,
Medical Robotics for Ultrasound Imaging: Current Systems and Future Trends, Current Robotics Reports , vol. 2, pp. 55-71, 2021.
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, Physics in Medicine Biology , vol. 66, no. 9, pp. 094002, 2021.
DOI:10.1088/1361-6560/abf277
File: abf277

2020

Daniel Wulff, Jannis Hagenah, Svenja Ipsen, and Floris Ernst,
Learning Local Feature Descriptions in 3D Ultrasound, 2020. pp. 323-330.
DOI:10.1109/BIBE50027.2020.00059
File: BIBE50027.2020.00059

2019

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, 2019. pp. 601-604.
DOI:10.1515/cdbme-2019-0151
File: cdbme-2019-0151