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, 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.

   DOI: 10.1109/TCI.2022.3233188

2. 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

3. 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

4. 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

5. 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