The Catholic University of Korea Seoul St. Mary's Hospital

output

20202024

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

16 citations

researchers with a paper here

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

A. Rahmim1 · h 59
Arman Rahmim1
Benjamin Hou1 · h 7
Boah Kim1 · h 11
Carlos F. Uribe1 · h 8
C. Gowdy1 · h 7
Christopher Koh1 · h 4
Dong Hwan Kim1 · h 2
Don Wilson1 · h 4
François Bénard1 · h 7
F. Yousefirizi1 · h 14
I. Bloise1 · h 5

collaborating institutions

Catholic University of KoreaKR3 papers
Asan Medical CenterKR1 paper
BC Children's HospitalCA1 paper
BC Research (Canada)CA1 paper
IT University of CopenhagenDK1 paper
Korea Advanced Institute of Science and TechnologyKR1 paper
Korea Automotive Technology InstituteKR1 paper
Korea UniversityKR1 paper
Microsoft (United States)US1 paper
National Institute of Diabetes and Digestive and Kidney DiseasesUS1 paper
National Institutes of HealthUS1 paper
National Institutes of Health Clinical CenterUS1 paper

Showing 2024Show all

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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…