17 citations · 33 across the 4 of their papers we have counts for
4 papers
Generating spectral dental panoramic images from single energy computed tomography volumes
Villseveri Somerkivi, Anna Kolb, Thorsten Sellerer +5
Purpose: To implement a framework generating synthetic spectral panoramic images from single energy CT volumes. Using the framework output to compare the synthetic images against e…
Estimating Total Lung Volume from Pixel-level Thickness Maps of Chest Radiographs Using Deep Learning
Tina Dorosti, Manuel Schultheiss, Philipp Schmette +11
Purpose: To estimate the total lung volume (TLV) from real and synthetic frontal chest radiographs (CXR) on a pixel level using lung thickness maps generated by a U-Net deep learni…
Dual-energy X-ray dark-field material decomposition
Thorsten Sellerer, Korbinian Mechlem, Ruizhi Tang +3
Dual-energy imaging is a clinically well-established technique that offers several advantages over conventional X-ray imaging. By performing measurements with two distinct X-ray sp…
A theoretical framework for comparing noise characteristics of spectral, differential phase-contrast and spectral differential phase-contrast X-ray imaging
Korbinian Mechlem, Thorsten Sellerer, Manuel Viermetz +2
Spectral and grating-based differential phase-contrast X-ray imaging are two emerging technologies that offer additional information compared with conventional attenuation-based X-…