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, A. Hauptmann, P. Maaß, B. Jin.
An Educated Warm Start For Deep Image Prior-based Micro CT Reconstruction.
IEEE Transactions on Computational Imaging, 8:1210-1222, 2022. - J. Antorán, R. Barbano, J. Leuschner, J. M. Hernández-Lobato, B. Jin.
Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior.
Zur Veröffentlichung eingereicht.online unter: https://arxiv.org/abs/2203.00479
- R. Barbano, J. Leuschner, J. Antorán, B. Jin, J. M. Hernández-Lobato.
Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior.
Zur Veröffentlichung eingereicht.online unter: https://arxiv.org/abs/2207.05714
- 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.