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20232026
most citedImproving image quality of sparse-view lung tumor CT images with U-Net

8 citations · 15 across the 10 of their papers we have counts for

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Showing 2023 · eess.IVShow all

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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…