Sparse 𝓁q-regularization of inverse problems with deep learning. - Markus Haltmeier; Linh V. Nguyen; Daniel Obmann; Johannes Schwab (CoRR, 2019)

Sparse Anett For Solving Inverse Problems With Deep Learning. - Daniel Obmann; Linh V. Nguyen; Johannes Schwab; Markus Haltmeier (ISBI Workshops, 2020)

Deep synthesis regularization of inverse problems. - Daniel Obmann; Johannes Schwab; Markus Haltmeier (CoRR, 2020)

Convergence analysis of equilibrium methods for inverse problems. - Daniel Obmann; Markus Haltmeier (CoRR, 2023)

Relaxed data-consistency for limited bandwidth photoacoustic tomography. - Daniel Obmann; Markus Haltmeier (CoRR, 2023)

Sampling and resolution in sparse view photoacoustic tomography. - Markus Haltmeier; Daniel Obmann; Karoline Felbermayer; Florian Hinterleitner; Peter Burgholzer (CoRR, 2023)

Convergence rates for critical point regularization. - Daniel Obmann; Markus Haltmeier (Appl. Math. Comput., 2024)

Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images. - Matthias Schwab; Mathias Pamminger; Christian Kremser; Daniel Obmann; Markus Haltmeier; Agnes Mayr (Medical Image Anal., 2025)