Dr. Matthias Beckmann
Ehemaliger Mitarbeiter der AG TechnomathematikE-Mail: matthias.beckmann@uni-bremen.de
Veranstaltungen (Auswahl)
- Approximation Theory (Sommersemester 2025)
- Mathematical Methods in Machine Learning (Wintersemester 2024/2025)
- Advanced Topics in Image Processing – The Beauty of Variational Calculus (Wintersemester 2024/2025)
- Mathematical Foundations of Machine Learning (Sommersemester 2024)
- Mathematical Foundations of Machine Learning (Sommersemester 2023)
Abschlussarbeiten (Auswahl)
- Generalized Modulo Operators and Recovery Approaches for the Induced Modulo Radon Transform (Jürgen Jeschke)
- Learned Postprocessing Methods for Inverse Problems in the Context of Magnetic Particle Imaging (Tom Bustert)
- Inversion of the Modulo Radon Transform via Laplacian Phase Unwrapping (Carla Dittert)
- The Radon Cumulative Distribution Transform in Image Classification (Lia Pribnow)
- Inversion of the Modulo Radon Transform via direct Fourier Reconstruction Methods (Meira Iske)
Publikationen (Auswahl)
- M. Beckmann, J. Jeschke.
Generalized Modulo Hysteresis Encoding.
Zur Veröffentlichung eingereicht. - M. Beckmann, J. Nickel.
Optimized filter functions for filtered back projection reconstructions.
Inverse Problems and Imaging, , 2025.DOI: 10.3934/ipi.2025003
- M. Beckmann, J. Jeschke.
Orthogonal Matching Pursuit based Reconstruction for Modulo Hysteresis Operators.
2025 International Conference on Sampling Theory and Applications (SampTA)}, IEEE, 2025. - M. Beckmann, A. Bhandari, M. Iske.
Fourier-Domain Inversion for the Modulo Radon Transform.
IEEE Transactions on Computational Imaging, 10, 2024.online unter: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10499837
- D. Hauser, M. Beckmann, G. Koliander, H. S. Stiehl.
On Image Processing and Pattern Recognition for Thermograms of Watermarks in Manuscripts - A First Proof-of-Concept.
18th International Conference on Document Analysis and Recognition (ICDAR), 30.08.-04.09.2024.