Submitted
- Translation invariant diagonal frame decomposition of inverse problems and their regularization
S. Göppel, J.Frickel, M. Haltmeier
Submitted, 2022 [PDF[arxiv.org]
- Convergence analysis of critical point regularization with non-convex regularizers
D. Obmann, M. Haltmeier
Submitted, 2022 [PDF[arxiv.org]
- Unsupervised Joint Image Transfer and Uncertainty Quantifcation using Patch Invariant Networks
C. Angermann, M. Haltmeier, A. R. Siyal
Submitted, 2022 [PDF[arxiv.org]
- A Joint Variational Multichannel Multiphase Segmentation Framework
N. Gruber, J. Schwab, S. Court, E. Gizewski, M. Haltmeier
Submitted, 2022 [arxiv.org] - Machine Learning for Nondestructive Waer Assessment in Large Internal Combustion Engines
C. Angermann, S. Jonsson, M. Haltmeier, A. Moravova, C. Laubichler, C. Kiesling, M. Kober, W. Fimml
Submitted, 2021[pdf][arxiv.org]
- Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition
A. Ebner, J. Frikel, D. Lorenz, J. Schwab, M. Haltmeier
Submitted, 2020 [arxiv.org] - Regularization of inverse problems by neural networks
M. Haltmeier, L.V. Nguyen
Submitted, 2020 [pdf][arxiv.org]
- Unsupervised adaptive neural network regularization for accelerated radial cine MRI
A. Kofler, M. Dewey, T. Schaeffter, C. Kolbitsch, M. Haltmeier
Submitted, 2020 [pdf][arxiv.org]
- Real-time photoacoustic projection imaging using deep learning
J. Schwab, S. Antholzer, R. Nuster and M. Haltmeier
Submitted, 2018 [pdf] [video-1
] [video-2
] [video-3
] [video-4
] [arxiv.org]