1 citations · 1 across the 3 of their papers we have counts for
3 papers
MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data
Natalie M. Jadue, Madhuri Nagare, Jonathan S. Maltz +2
X-ray computed tomography (CT) based on photon counting detectors (PCD) extends standard CT by counting detected photons in multiple energy bins. PCD data can be used to increase t…
PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative models
Dennis Hein, Staffan Holmin, Timothy Szczykutowicz +4
Diffusion and Poisson flow models have shown impressive performance in a wide range of generative tasks, including low-dose CT image denoising. However, one limitation in general,…
Noise suppression in photon-counting CT using unsupervised Poisson flow generative models
Dennis Hein, Staffan Holmin, Timothy Szczykutowicz +4
Deep learning has proven to be important for CT image denoising. However, such models are usually trained under supervision, requiring paired data that may be difficult to obtain i…