The 7th International Conference on Image Formation in X-Ray Computed
Baltimore, June 12 - June 16, 2022
Reconstructing invariances of CT image denoising networks using invertible neural networks
E. Eulig, B. Ommer, and M. Kachelrieß
Deep scatter estimation for coarse anti-scatter grids as used in photon-counting CT
J. Erath, J. Maier, E. Fournié, M. Petersilka, K. Stierstorfer, and M. Kachelrieß
3D reconstruction of stents and guidewires in an anthropomorphic phantom from three x-ray projections
T. Vöth, T. König, E. Eulig, M. Knaup, V. Wiesmann, K. Hörndler, and M. Kachelrieß
Deep learning-based detector row upsampling for clinical spiral CT
J. Magonov, J. Erath, J. Maier, E. Fournié, K. Stierstorfer, and M. Kachelrieß
Learning CT scatter estimation without labeled data - a feasiblility study
J. Maier, L. Jordan, E. Eulig, F. Jäger, S. Sawall, and M. Kachelrieß
Organ-specific vs. patient risk-specific tube current modulation in thorax CT scans covering the female breast
L. Enzmann, L. Klein, M. Lell, and M. Kachelrieß
Detruncation of clinical CT scans using the discrete algebraic reconstruction technique
A. Byl, M. Knaup, and M. Kachelrieß