Supervised MSc/BSc theses
- A. Jabs, Introducing learning into primal-dual algorithm, M.Sc. 2022
- P. Horn, Nichtlineare inverse Probleme, B.Sc. 2022
- A. Pintul, The stochastic gradient method, B.Sc. 2022
- C. Simon, Variations of the Kaczmarz iteration, B.Sc. 2022
- F. Kieckhäfer, Cahn-Hilliard binary inpaiting in two and three dimensions, M.Sc. 2021
- F. Hansen, Proximale Punkt Verfahren für nichtglatte konvexe Minimierungsprobleme, B.Sc. 2021
- A. Bains, Variationelle Tikhonov-Regularisierungsverfahren für Entfaltungsprobleme in der mathematischen Bildverarbeitung, B.Sc. 2021
- M. Bui, Semiglate Newton Verfahren für Optimierungsprobleme, B.Sc. 2021
- A. Kryeziu, Multi-bang regularization for electrical impedance tomography, M.Sc. 2021
- J. Marquardt, Die Wavelet-Transformation und ihr Einsatz in der Bilddatenkompression, B.Sc. 2021
- K. Scheffler, Kompression von Systemmatrizen fpr die Magnetipartikel-Bildgebung mittels gefalteter Tensorprodukte von Tschebyschow-Polynomen, M.Sc. 2021
- T. Abel, Shearlet based approach to dynamic computed tomography, M.Sc. 2021
- J. Grün, Improved magnetic particle imaging reconstruction for realistic magnetic fields using the Bayesian framework, M.Sc. 2020
- L. Zdun, Stochastic first order methods for image reconstruction problems, M.Sc. 2020
- C. Fichtlscherer, K Transform tomography, M.Sc. 2020
- Lisa Schönrock, Effiziente Regularisierungsmethoden für dynamische inverse Probleme, B.Sc. 2020
- I. Glöckner, Regularization methods for multi-spectral reconstruction in magnetic particle imaging, M.Sc. 2019
- J. Muldoon, Visualisierung von Schallwellen mittels Laserinterferometrie und Radon-Transforamtion, M.Sc. 2019
- Aoxiang Geng, Improving calibration measurements in magnetic particle imaging by compressed sensing, M.Sc.
- I. Pabon, Detection and correction of interpolation artefacts in 2D+T medical images to improve registration using low-rank and sparse decomposition, M. Sc.
- Dawit Hailu, Reconstructions for dynamic x-ray data with help of shearlets, M.Sc.
- Dennis Hamann, Schnelle nicht-konvexe Optimierung durch nicht konvexen Paramter, B.Sc. 2018
- Ikram Jumakulyyev, MSc 2018
- L. Nawwas, Bias-reduction for sparsity promoting regularization in magnetic particle imaging, M.Sc. 2018
- T. Yu, Robust inverse planning in robotic brachtherapy under uncertainty, M.Sc. 2017
- F. Lucchesi, Deep network ensembles for semantic segmentation: snapshot models, M.Sc. 2017