Prof. Dr. Bangti Jin

Forschungsgebiete

• Tikhonov-Phillips-Regularisierungen
• Inverse Probleme

Abschlussarbeiten (Auswahl)vollständige Liste

1. Electrical Impedance Tomography with the complete electrode model and sparsity constraints (Matthias Gehre)

Publikationen (Auswahl)vollständige Liste

1. 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

2. 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

3. 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.

   DOI: 10.1088/1361-6560/ab1a4f

4. T. Kluth, B. Jin.
   Exploiting heuristic parameter choice rules for one-click image reconstruction in magnetic particle imaging.
   Zur Veröffentlichung eingereicht.
5. T. Kluth, B. Jin, G. Li.
   On the Degree of Ill-Posedness of Multi-Dimensional Magnetic Particle Imaging.
   Inverse Problems, 34(9), 2018.

   DOI: 10.1088/1361-6420/aad015