1 citations · 1 across the 3 of their papers we have counts for
3 papers
Unsupervised Physics-Informed Deep Learning for Dual-Energy CT Material Decomposition
Laura Hellwege, Johann Christopher Engster, Moritz Schaar +2
Dual-energy computed tomography (DECT) enables material-specific imaging through acquisitions at two different X-ray energy spectra. Material decomposition from DECT data is an ill…
Unsupervised Deep Learning for Inverse Problems in Computed Tomography
Laura Hellwege, Johann Christopher Engster, Moritz Schaar +2
Assume you encounter an inverse problem that shall be solved for a large number of data, but no ground-truth data is available. To emulate this, in this study we assume it is unkno…
Instance Segmentation XXL-CT Challenge of a Historic Airplane
Roland Gruber, Johann Christopher Engster, Markus Michen +4
Instance segmentation of compound objects in XXL-CT imagery poses a unique challenge in non-destructive testing. This complexity arises from the lack of known reference segmentatio…