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Original Articles
Deep learning-based automated quantification of the hepatorenal index for evaluation of fatty liver by ultrasonography
Dong Ik Cha, Tae Wook Kang, Ji Hye Min, Ijin Joo, Dong Hyun Sinn, Sang Yun Ha, Kyunga Kim, Gunwoo Lee, Jonghyon Yi
Ultrasonography.
2021;40(4):565-574. Published online February 24, 2021 DOI:
https://doi.org/10.14366/usg.20179
The semi-erect position for better visualization of subphrenic hepatocellular carcinoma during ultrasonography examinations
Seong Eun Ko, Min Woo Lee, Hyo Keun Lim, Ji Hye Min, Dong Ik Cha, Tae Wook Kang, Kyoung Doo Song, Min Ju Kim, Hyunchul Rhim
Ultrasonography.
2021;40(2):274-280. Published online June 22, 2020 DOI:
https://doi.org/10.14366/usg.20059
Active contour configuration model for estimating the posterior ablative margin in image fusion of real-time ultrasound and 3D ultrasound or magnetic resonance images for radiofrequency ablation: an experimental study
Junkyo Lee, Min Woo Lee, Dongil Choi, Dong Ik Cha, Sunyoung Lee, Tae Wook Kang, Jehoon Yang, Jaemoon Jo, Won-Chul Bang, Jongsik Kim, Dongkuk Shin
Ultrasonography.
2018;37(4):337-344. Published online December 21, 2017 DOI:
https://doi.org/10.14366/usg.17065
Cited By 3
Percutaneous radiofrequency ablation for hepatic metastasis of colorectal cancer: assessment of tumor visibility and the feasibility of the procedure with planning ultrasonography
Jeong Woo Bae, Min Woo Lee, Tae Wook Kang, Kyoung Doo Song, Dong Ik Cha, Ji Hye Min, Hyunchul Rhim
Received March 4, 2021 Accepted: June 22, 2021 Published online June 22, 2021. DOI:
https://doi.org/10.14366/usg.21050
[Epub ahead of print]
1
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5.5
2020
CiteScore
83rd percentile
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Obstetric ultrasound: where are we and where are we going?. Ultrasonography. 2021;40:57-74
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