Prof. Dr. Bangti Jin
Ehemaliger Mitarbeiter der AG TechnomathematikForschungsgebiete
- Tikhonov-Phillips-Regularisierungen
- Inverse Probleme
Abschlussarbeiten (Auswahl)
- Electrical Impedance Tomography with the complete electrode model and sparsity constraints (Matthias Gehre)
Publikationen (Auswahl)
- R. Barbano, J. Leuschner, M. Schmidt, A. Denker, P. Maaß, B. Jin.
Is Deep Image Prior in Need of a Good Education?
Zur Veröffentlichung eingereicht.online unter: https://arxiv.org/abs/2111.11926
- T. Kluth, B. Jin.
L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset.
International Journal on Magnetic Particle Imaging, , 2020.DOI: 10.18416/IJMPI.2020.2012001
online unter: https://journal.iwmpi.org/index.php/iwmpi/article/view/146 - T. Kluth, B. Jin.
Enhanced Reconstruction in Magnetic Particle Imaging by Whitening and Randomized SVD Approximation.
Physics in Medicine and Biology, Article ID 125026 64(12), 2019. - T. Kluth, B. Jin.
Exploiting heuristic parameter choice rules for one-click image reconstruction in magnetic particle imaging.
Zur Veröffentlichung eingereicht. - T. Kluth, B. Jin, G. Li.
On the Degree of Ill-Posedness of Multi-Dimensional Magnetic Particle Imaging.
Inverse Problems, 34(9), 2018.