7 citations · 11 across the 3 of their papers we have counts for
3 papers
Deep learning based dictionary learning and tomographic image reconstruction
Jevgenija Rudzusika, Thomas Koehler, Ozan Öktem
This work presents an approach for image reconstruction in clinical low-dose tomography that combines principles from sparse signal processing with ideas from deep learning. First,…
Photon-counting spectral phase-contrast mammography
E. Fredenberg, E. Roessl, T. Koehler +10
Phase-contrast imaging is an emerging technology that may increase the signal-difference-to-noise ratio in medical imaging. One of the most promising phase-contrast techniques is T…
X-ray dark-field signal reduction due to hardening of the visibility spectrum
Fabio De Marco, Jana Andrejewski, Theresa Urban +6
X-ray dark-field imaging enables a spatially-resolved visualization of ultra-small-angle X-ray scattering. Using phantom measurements, we demonstrate that a material's effective da…