Prof. Dr. Bangti Jin

Research Areas

• Tikhonov-Phillips regularization
• Inverse problems

Theses (Selection)complete list

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

Publications (Selection)complete list

1. R. Barbano, A. Denker, H. Chung, T. H. Roh, S. Arridge, P. Maaß, B. Jin, J. C. Ye.
   Steerable conditional diffusion for out-of-distribution adampation in medical image reconstruction.
   IEEE Transactions on Medical Imaging, 44(5), 2093:2104, 2025.

   DOI: 10.1109/TMI.2024.3524797

2. A. Denker, F. Margotti, J. Ning, K. Knudsen, D. Nganyu Tanyu, B. Jin, A. Hauptmann, P. Maaß.
   Deep Learning Based Reconstruction Methods for Electrical Impedance Tomography.
   Zur Veröffentlichung eingereicht.

   DOI: 10.48550/arXiv.2508.06281

3. A. Denker, I. Singh, R. Barbano, Z. Kereta, B. Jin, K. Thielemans, P. Maaß, S. Arridge.
   Score-Based Generative Models for PET Image Reconstruction.
   Erscheint in Machine Learning for Biomedical Imaging

   online at: https://arxiv.org/abs/2308.14190

4. J. Antorán, R. Barbano, J. Leuschner, J. M. Hernández-Lobato, B. Jin.
   Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior.
   Transactions on Machine Learning Research, 12, 2023.

   online at: https://openreview.net/forum?id=FWyabz82fH

5. R. Barbano, J. Antorán, J. Leuschner, J. M. Hernández-Lobato, B. Jin, Z. Kereta.
   Image Reconstruction via Deep Image Prior Subspaces.
   Zur Veröffentlichung eingereicht.

   online at: https://arxiv.org/abs/2302.10279