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Review Articles
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
Applications of
artificial intelligence
in obstetrics
Ho Yeon Kim, Geum Joon Cho, Han Sung Kwon
Ultrasonography.
2023;42(1):2-9. Published online July 20, 2022 DOI:
https://doi.org/10.14366/usg.22063
Cited By 2
Original Articles
Differing benefits of
artificial intelligence
-based computer-aided diagnosis for breast US according to workflow and experience level
Si Eun Lee, Kyunghwa Han, Ji Hyun Youk, Jee Eun Lee, Ji-Young Hwang, Miribi Rho, Jiyoung Yoon, Eun-Kyung Kim, Jung Hyun Yoon
Ultrasonography.
2022;41(4):718-727. Published online March 30, 2022 DOI:
https://doi.org/10.14366/usg.22014
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
Special Review of Artificial Intelligence (part 2)
Artificial intelligence
in breast ultrasonography
Jaeil Kim, Hye Jung Kim, Chanho Kim, Won Hwa Kim
Ultrasonography.
2021;40(2):183-190. Published online November 12, 2020 DOI:
https://doi.org/10.14366/usg.20117
Cited By 20
Review Article
Obstetric ultrasound: where are we and where are we going?
Jacques S Abramowicz
Ultrasonography.
2021;40(1):57-74. Published online August 25, 2020 DOI:
https://doi.org/10.14366/usg.20088
Cited By 11
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
Applications of machine learning and deep learning to thyroid imaging: where do we stand?
Eun Ju Ha, Jung Hwan Baek
Ultrasonography.
2021;40(1):23-29. Published online July 3, 2020 DOI:
https://doi.org/10.14366/usg.20068
Cited By 17
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
Review Article
Artificial intelligence
in breast ultrasound: application in clinical practice
Hila Fruchtman Brot, Victoria L. Mango
Received June 14, 2023 Accepted: August 29, 2023 Published online August 29, 2023. DOI:
https://doi.org/10.14366/usg.23116
[Accepted]
1
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3.1
Visualizing the lymphatic vessels and flow with high-resolution ultrasonography and microvascular flow imaging. Ultrasonography. 2023;42:466-473