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Original Article
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
                         Supplementary      
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
                  
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
                  
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
                  
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
                  
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
                  
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Volume43 No. 2
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