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Review Article
Artificial intelligence models for the diagnosis and management of liver diseases
Naoshi Nishida, Masatoshi Kudo
Ultrasonography.
2023;42(1):10-19. Published online September 6, 2022 DOI:
https://doi.org/10.14366/usg.22110
Original Articles
Scale-attentional U-Net for the segmentation of the median nerve in ultrasound images
Beom Suk Kim, Minhyeong Yu, Sunwoo Kim, Joon Shik Yoon, Seungjun Baek
Ultrasonography.
2022;41(4):706-717. Published online March 15, 2022 DOI:
https://doi.org/10.14366/usg.21214
Cited By 3
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
Cited By 8
Special Review of Artificial Intelligence (part 2)
Current status of
deep learning
applications in abdominal ultrasonography
Kyoung Doo Song
Ultrasonography.
2021;40(2):177-182. Published online September 2, 2020 DOI:
https://doi.org/10.14366/usg.20085
Cited By 10
Special Reviews of Artifical Intelligence (Part 1)
Artificial intelligence in musculoskeletal ultrasound imaging
YiRang Shin, Jaemoon Yang, Young Han Lee, Sungjun Kim
Ultrasonography.
2021;40(1):30-44. Published online September 6, 2020 DOI:
https://doi.org/10.14366/usg.20080
Cited By 18
Technology trends and applications of
deep learning
in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency
Jonghyon Yi, Ho Kyung Kang, Jae-Hyun Kwon, Kang-Sik Kim, Moon Ho Park, Yeong Kyeong Seong, Dong Woo Kim, Byungeun Ahn, Kilsu Ha, Jinyong Lee, Zaegyoo Hah, Won-Chul Bang
Ultrasonography.
2021;40(1):7-22. Published online September 14, 2020 DOI:
https://doi.org/10.14366/usg.20102
Cited By 17
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Visualizing the lymphatic vessels and flow with high-resolution ultrasonography and microvascular flow imaging. Ultrasonography. 2023;42:466-473
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