32 citations · 42 across the 2 of their papers we have counts for
2 papers
physics.med-ph2024★ 32 cited
Benchmarking Deep Learning-Based Low-Dose CT Image Denoising Algorithms
Elias Eulig, Björn Ommer, Marc Kachelrieß
Long lasting efforts have been made to reduce radiation dose and thus the potential radiation risk to the patient for computed tomography acquisitions without severe deterioration…
physics.med-ph2020★ 10 cited
Deep Learning-Based Reconstruction of Interventional Tools from Four X-Ray Projections for Tomographic Interventional Guidance
Elias Eulig, Joscha Maier, Michael Knaup +4
Image guidance for minimally invasive interventions is usually performed by acquiring fluoroscopic images using a C-arm system. However, the projective data provide only limited in…