Paul Jürß, M.Sc.

profile picture of Paul Jürß

Universitätsklinikum Hamburg-Eppendorf (UKE)
Sektion für Biomedizinische Bildgebung
Lottestraße 55
2ter Stock, Raum 210
22529 Hamburg

Technische Universität Hamburg (TUHH)
Institut für Biomedizinische Bildgebung
Gebäude E, Raum 4.044
Am Schwarzenberg-Campus 3
21073 Hamburg

Tel.:      040 / 7410 25811
E-Mail: paul.juerss(at)tuhh.de
E-Mail: p.juerss(at)uke.de
ORCID: https://orcid.org/0000-0002-3475-8480

Research Interests

  • Image Reconstruction
  • Machine Learning

Curriculum Vitae

Paul Jürß is a PhD student in the group of Tobias Knopp for Biomedical Imaging at the University Medical Center Hamburg-Eppendorf and the Hamburg University of Technology. In 2020, he graduated with a bachelor's degree in Computer Science in Engineering at the Hamburg University of Technology. From 2020 to 2022, he studied Technomathematics at the University of Hamburg and obtained his master's degree with a thesis on "Compensation of motion artifacts in HR-pQCT".

Journal Publications

  • 1
    Foerger, F.; Boberg, M.; Hackelberg, N.; Heinisch, P.; Ostaszewski, K.; Faltinath, J.; Suskin, P.; Thieben, F.; Mohn, F.; Jürß, P.; Möddel, M.; Knopp, T.
    3-D Magnetic Field Camera With Subsecond Temporal Resolution
    2026 Article IEEE Sensors Journal
    Journal IEEE Sensors Journal, 26 (1)

Conference Proceedings

  • 6
    Jürß, P.; Droigk, C.; Boberg, M.; Knopp, T.
    TrainingPhantoms.jl: Simple and Versatile Image Phantom Generation
    2025 Contribution to Proceeding In "14th International Workshop on Magnetic Particle Imaging (IWMPI 2025)"
    Booktitle , 14th International Workshop on Magnetic Particle Imaging (IWMPI 2025)Volume11, Page 1-2
    March 2025
  • 5
    Jürß, P.; Knopp, T.; Busse, B.; von Brackel, F. N.; Boberg, M.
    Optimization-based motion estimation in HR-pQCT
    2025 Contribution to Proceeding In "IEEE International Symposium on Biomedical Imaging (ISBI 2025)"
    Booktitle IEEE International Symposium on Biomedical Imaging (ISBI 2025), Page 1-4
    IEEE
  • 4
    Suskin, P.; Foerger, F.; Jürß, P.; Boberg, M.; Knopp, T.; Möddel, M.
    Power-Efficient Control of Non-LinearMagnetic Field Generators for MPI
    2025 Contribution to Proceeding In "14th International Workshop on Magnetic Particle Imaging (IWMPI 2025)"
    Booktitle , 14th International Workshop on Magnetic Particle Imaging (IWMPI 2025)Volume11, Page 1-2
  • 3
    Foerger, F.; Jürß, P.; Boberg, M.; Hau, T.; Knopp, T.; Möddel, M.
    Current-to-Field Prediction for Non-Linear Magnetic Systems via Neural Networks
    2025 Contribution to Proceeding In "14th International Workshop on Magnetic Particle Imaging (IWMPI 2025)"
    Booktitle , 14th International Workshop on Magnetic Particle Imaging (IWMPI 2025)Volume11, Page 1-2
    March 2025
  • 2
    Tsanda, A.; Jürß, P.; Hackelberg, N.; Grosser, M.; Möddel, M.; Knopp, T.
    Extension of the Kaczmarz algorithm with a deep plug-and-play regularizer
    2024 Contribution to Proceeding In "13th International Workshop on Magnetic Particle Imaging (IWMPI 2024)"
    Booktitle , 13th International Workshop on Magnetic Particle Imaging (IWMPI 2024)Volume10, Page 1-4
    March 2024
  • 1
    Knopp, T.; Jürß, P.; Grosser, M.
    A Deep Learning Approach for Automatic Image Reconstruction in MPI
    2023 Contribution to Proceeding In "12th International Workshop on Magnetic Particle Imaging (IWMPI 2023)"
    Booktitle , 12th International Workshop on Magnetic Particle Imaging (IWMPI 2023)Volume9, Page 1-4