8 citations · 15 across the 10 of their papers we have counts for
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cs.CV2023★ 8 cited
Improving image quality of sparse-view lung tumor CT images with U-Net
Annika Ries, Tina Dorosti, Johannes Thalhammer +8
Background: We aimed at improving image quality (IQ) of sparse-view computed tomography (CT) images using a U-Net for lung metastasis detection and determining the best tradeoff be…
eess.IV2023★ 6 cited
Improving Automated Hemorrhage Detection in Sparse-view Computed Tomography via Deep Convolutional Neural Network based Artifact Reduction
Johannes Thalhammer, Manuel Schultheiss, Tina Dorosti +4
This is a preprint. The latest version has been published here: https://pubs.rsna.org/doi/10.1148/ryai.230275 Purpose: Sparse-view computed tomography (CT) is an effective way to r…