7 citations · 9 across the 4 of their papers we have counts for
6 papers
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations
Mareike Thies, Fabian Wagner, Mingxuan Gu +3
Learned iterative reconstruction algorithms for inverse problems offer the flexibility to combine analytical knowledge about the problem with modules learned from data. This way, t…
X-ray Scatter Estimation Using Deep Splines
Philipp Roser, Annette Birkhold, Alexander Preuhs +7
Algorithmic X-ray scatter compensation is a desirable technique in flat-panel X-ray imaging and cone-beam computed tomography. State-of-the-art U-net based image translation approa…
2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging
Elisabeth Hoppe, Jens Wetzl, Philipp Roser +3
Continuous protocols for cardiac magnetic resonance imaging enable sampling of the cardiac anatomy simultaneously resolved into cardiac phases. To avoid respiration artifacts, asso…
Reconstruction of Voxels with Position- and Angle-Dependent Weightings
Lina Felsner, Tobias Würfl, Christopher Syben +4
The reconstruction problem of voxels with individual weightings can be modeled a position- and angle- dependent function in the forward-projection. This changes the system matrix a…
A 3-D Projection Model for X-ray Dark-field Imaging
Shiyang Hu, Lina Felsner, Andreas Maier +3
Talbot-Lau X-ray phase-contrast imaging is a novel imaging modality, which provides not only an X-ray absorption image, but also additionally a differential phase image and a dark-…
Phase-Sensitive Region-of-Interest Computed Tomography
Lina Felsner, Martin Berger, Sebastian Kaeppler +8
X-Ray Phase-Contrast Imaging (PCI) yields absorption, differential phase, and dark-field images. Computed Tomography (CT) of grating-based PCI can in principle provide high-resolut…