Ultrasonography

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Original Articles
	Direct deep learning analysis of three-dimensional automated breast ultrasound videos with reading mode optimization for breast cancer diagnosis Yuqing Guo, Changyan Wang, Yingchun Liu, Yun Pang, Rui Ge, Weiping Li, Lizhuang Liu, Qi Zhang, Lin Chen Ultrasonography. 2026;45(1):80-91. Published online November 10, 2025 DOI: https://doi.org/10.14366/usg.25096


	Combined application of deep learning and conventional computer vision for kidney ultrasound image classification in chronic kidney disease: preliminary study Patrick Tomas Svrcek, Junbong Jang, Connie Ge, Hajeong Lee, Young H. Kim Ultrasonography. 2025;44(5):346-353. Published online June 15, 2025 DOI: https://doi.org/10.14366/usg.25074 Web of Science 2 Crossref 3


	Unsupervised speckle noise reduction technique for clinical ultrasound imaging Dongkyu Jung, Myeongkyun Kang, Sang Hyun Park, Nizar Guezzi, Jaesok Yu Ultrasonography. 2024;43(5):327-344. Published online July 1, 2024 DOI: https://doi.org/10.14366/usg.24005 Web of Science 2 Crossref 2


	Feasibility of a deep learning artificial intelligence model for the diagnosis of pediatric ileocolic intussusception with grayscale ultrasonography Se Woo Kim, Jung-Eun Cheon, Young Hun Choi, Jae-Yeon Hwang, Su-Mi Shin, Yeon Jin Cho, Seunghyun Lee, Seul Bi Lee Ultrasonography. 2024;43(1):57-67. Published online October 10, 2023 DOI: https://doi.org/10.14366/usg.23153 Web of Science 4 Crossref 6

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 Web of Science 14 Crossref 13

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 Web of Science 9 Crossref 10


	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 Crossref 16

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 Web of Science 18 Crossref 19

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 Web of Science 59 Crossref 56


	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 Web of Science 31 Crossref 39

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Advantages of thyroid core needle biopsy: an emerging selective first-line biopsy modality. Ultrasonography. 2026;45:205-217

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