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. T. Kluth, B. Jin.
   L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset.
   Erscheint in International Journal on Magnetic Particle Imaging

   online unter: https://arxiv.org/abs/2001.06083

2. 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

3. T. Kluth, B. Jin.
   Exploiting heuristic parameter choice rules for one-click image reconstruction in magnetic particle imaging.
   Zur Veröffentlichung eingereicht.
4. T. Kluth, B. Jin, G. Li.
   On the Degree of Ill-Posedness of Multi-Dimensional Magnetic Particle Imaging.
   Inverse Problems, Article ID 095006 34(9), 2018.

   DOI: 10.1088/1361-6420/aad015

5. T. Kluth, B. Jin.
   Exploiting Ill-Posedness in Magnetic Particle Imaging - System Matrix Approximation via Randomized SVD.
   International Workshop on Magnetic Particle Imaging 2018.
   International Workshop on Magnetic Particle Imaging (IWMPI) Book of Abstracts 2018, S. 127-128, Infinite Science Publishing, 2018.