Marius Krusen


Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, Raum 86

Email: mar.krusen(at)uni-luebeck.de
Phone: +49 451 31015207
Fax: +49 451 31015204

Short Biography

Marius Krusen finished his M.Sc. degree in Computer Science with the application subject Robotics and Automation at the University of Lübeck in early 2020. At the end of 2020, he joined the Institute of Robotics and Cognitive Systems as a PhD student. His work focuses on the application of artificial intelligence for intelligent motion tracking in radiotherapy.

Research Interests

  • Artificial intelligence and machine learning
  • Medical image processing

2025

Moritz A. Mau, Marius Krusen, and Floris Ernst,
Automatic Thyroid Scintigram Segmentation using U-Net, in Bildverarbeitung für die Medizin 2025 , Palm, Christoph and Breininger, Katharina and Deserno, Thomas and Handels, Heinz and Maier, Andreas and Maier-Hein, Klaus H. and Tolxdorff, Thomas M., Eds. Wiesbaden: Springer Fachmedien Wiesbaden, 2025, pp. 229-234.
DOI:10.1007/978-3-658-47422-5_50
ISBN:978-3-658-47422-5
Weblink: https://link.springer.com/chapter/10.1007/978-3-658-47422-5_50

2024

Marius Krusen, and Floris Ernst,
Real-time MR-based 3D motion monitoring using raw k-space data, in Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning , Burgos, Ninon and Petitjean, Caroline and Vakalopoulou, Maria and Christodoulidis, Stergios and Coupe, Pierrick and Delingette, Hervé and Lartizien, Carole and Mateus, Diana, Eds. PMLR, 2024. pp. 768-781.
Weblink: https://proceedings.mlr.press/v250/krusen24a.html
File: krusen24a.pdf
Marius Krusen, and Floris Ernst,
Very fast digital 2D rigid motion estimation directly on continuous k-space data using an RNN, Biomedical Signal Processing and Control , vol. 87, no. Part B, 2024.
DOI:10.1016/j.bspc.2023.105413
File: j.bspc.2023.105413

2020

Marius Krusen,
Automatic Attention-based Class Hierarchy Construction for Deep Image Classification, 2020.