4 citations · 8 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
Ring Artifact Correction in Photon-Counting Spectral CT Using a Convolutional Neural Network With Spectral Loss
Dennis Hein, Konstantinos Liappis, Fredrik Grönberg +2
Photon-counting spectral computed tomography is now clinically available. These new detectors come with the promise of higher contrast-to-noise ratio and spatial resolution and imp…