Submitted
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Recovering the Initial Data of the Wave Equation from Neumann Traces
F. Dreier, M. Haltmeier
Submitted, 2020 [pdf][arxiv.org]
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Multi-Scale factorization of the wave equation with application to compressed sensing photoacoustic tomography
G. Zangerl, M. Haltmeier
Submitted, 2020 [pdf][arxiv.org]
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Regularization of inverse problems by neural networks
M. Haltmeier, L.V. Nguyen
Submitted, 2020 [pdf][arxiv.org]
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Sparse aNETT for solving inverse problems with deep learning
D. Obmann, L. Nguyen, J. Schwab, M. Haltmeier
Submitted, 2020 [pdf][arxiv.org]
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The conical Radon transform with vertices on triple lines
M. Haltmeier, S. Moon
Submitted, 2020 [pdf][arxiv.org]
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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]
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Data-consistent neural networks for solving nonlinear inverse problems
Y. E. Boink, M. Haltmeier, S. Holman, J. Schwab
Submitted, 2020 [pdf][arxiv.org]
- Neural networks-based regularization for large-scale medical image reconstruction
A. Kofler, M. Haltmeier, T. Schaeffter, M. Kachelriess, M. Dewey, C. Wald and C. Kolbitsch
Submitted, 2019 [pdf][arxiv.org]
- Sparse regularization of inverse problems by biorthogonal frame thresholding
J. Frikel, M. Haltmeier
Submitted, 2019 [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]