output
20202024
most citedDeep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification

16 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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eess.IV2024★ 16 cited

Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification

Benjamin Hou, Sung-Won Lee, Jung-Min Lee +4

Purpose: To evaluate the performance of an automated deep learning method in detecting ascites and subsequently quantifying its volume in patients with liver cirrhosis and ovarian…

eess.IV2023★ 3 cited

Cross-domain Denoising for Low-dose Multi-frame Spiral Computed Tomography

Yucheng Lu, Zhixin Xu, Moon Hyung Choi +2

Computed tomography (CT) has been used worldwide as a non-invasive test to assist in diagnosis. However, the ionizing nature of X-ray exposure raises concerns about potential healt…