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Julien G. Cohen

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Open access Sep 2026

Clinical feasibility and image quality assessment of deep learning-based virtual contrast enhancement from photon-counting computed tomography.

Objectives The purpose of this study was to evaluate image quality and diagnostic performance of deep learning-based virtual contrast-enhanced (VCE) images generated from photon-counting CT (PCCT) datasets. Material and Methods Forty consecutive patients who underwent contrast-enhanced PCCT were retrospectively inclu...

Julien G. Cohen, J. V. Stadelmann, David Leite-Arada et al. · 0 citations

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