Preprints 2018
- Nr. 54 Variational regularization of the weighted conical Radon transform
M. Haltmeier, D. Schiefeneder
[Download PDF
][arxiv.org]
- Nr. 53 Full field inversion in photoacoustic tomography with variable sound speed
G. Zangerl, M. Haltmeier, L. V. Nguyen, R. Nuster
[Download PDF][arxiv.org]
- Nr. 52 Image based fashion product recommendation with deep learning
H. Tuinhof, C. Pirker, M. Haltmeier
[Download PDF][arxiv.org]
- Nr. 51 NETT: Solving inverse problems with deep neural networks
H. Li, J. Schwab, S. Antholzer, M. Haltmeier
[Download PDF][arxiv.org]
- Nr. 50 Deep null space learning for inverse problems: Convergence analysis and rates
J. Schwab, S. Antholzer, M. Haltmeier
[Download PDF][arxiv.org]
- Nr. 49 Compressed sensing for multiple excitation magnetorelaxometry imaging
M. Haltmeier, G. Zangerl, P. Schier, D. Baumgarten
[Dowload PDF] [arxiv.org]
- Nr. 48 Photoacoustic image reconstruction via deep learning
S. Antholzer, M. Haltmeier, R. Nuster, J. Schwab
[Download PDF]
- Nr. 47 Reconstruction algorithms for photoacoustic tomography in heterogenous damping media
L. V. Nguyen, M. Haltmeier
[Download PDF]
- Nr. 46 Stochastic proximal gradient algorithms for multi-source quantitative photoacoustic tomography
S. Rabanser, L. Neumann, M. Haltmeier
[Download PDF] [arxiv.org]
- Nr. 45 Real-time photoacoustic projection imaging using deep learning
J. Schwab, S. Antholzer, R. Nuster, M. Haltmeier
[Download PDF
] [video-1] [video-2] [video-3] [video-4] [arxiv.org]
- Nr. 44 A New sparsification and reconstruction strategy for compressed sensing photoacoustic tomography
M. Haltmeier, M. Sandbichler, T. Berer, J. Bauer-Marschallinger, P. Burholzer, L. Nguyen
[Download PDF] [arxiv.org]