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Special Review of Artifical Intelligence (Part 1)
September 14, 2020
- 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, et al.
- Ultrasonography. 2021;40(1):7-22.
Editorials 1 ULTRASONOGRAPHY: changes in submission and publication patterns 1 year after being listed in SCIE Jeong-Sik YuUltrasonography. 2021;40(1):1-2. Published online November 20, 2020 DOI: https://doi.org/10.14366/usg.201843 Artificial intelligence for ultrasonography: unique opportunities and challenges Seong Ho ParkUltrasonography. 2021;40(1):3-6. Published online November 3, 2020 DOI: https://doi.org/10.14366/usg.20078Special Reviews of Artifical Intelligence (Part 1) 7 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 BangUltrasonography. 2021;40(1):7-22. Published online September 14, 2020 DOI: https://doi.org/10.14366/usg.2010223 Applications of machine learning and deep learning to thyroid imaging: where do we stand? Eun Ju Ha, Jung Hwan BaekUltrasonography. 2021;40(1):23-29. Published online July 3, 2020 DOI: https://doi.org/10.14366/usg.2006830 Artificial intelligence in musculoskeletal ultrasound imaging YiRang Shin, Jaemoon Yang, Young Han Lee, Sungjun KimUltrasonography. 2021;40(1):30-44. Published online September 6, 2020 DOI: https://doi.org/10.14366/usg.20080Review Articles 45 Current status of image-based surveillance in hepatocellular carcinoma Dong Hwan Kim, Joon-Il ChoiUltrasonography. 2021;40(1):45-56. Published online July 25, 2020 DOI: https://doi.org/10.14366/usg.2006757 Obstetric ultrasound: where are we and where are we going? Jacques S AbramowiczUltrasonography. 2021;40(1):57-74. Published online August 25, 2020 DOI: https://doi.org/10.14366/usg.2008875 Radiofrequency ablation of benign thyroid nodules: recommendations from the Asian Conference on Tumor Ablation Task Force Eun Ju Ha, Jung Hwan Baek, Ying Che, Yi-Hong Chou, Nobuhiro Fukunari, Ji-hoon Kim, Wei-Che Lin, Le Thi My, Dong Gyu Na, Lawrence Han Hwee Quek, Ming-Hsun Wu, Koichiro Yamakado, Jianhua ZhouUltrasonography. 2021;40(1):75-82. Published online September 8, 2020 DOI: https://doi.org/10.14366/usg.20112Original Articles 83 False-negative results on computer-aided detection software in preoperative automated breast ultrasonography of breast cancer patients Youngjune Kim, Jiwon Rim, Sun Mi Kim, Bo La Yun, So Yeon Park, Hye Shin Ahn, Bohyoung Kim, Mijung JangUltrasonography. 2021;40(1):83-92. Published online March 24, 2020 DOI: https://doi.org/10.14366/usg.1907693 Predictive performance of ultrasonography-based radiomics for axillary lymph node metastasis in the preoperative evaluation of breast cancer Si Eun Lee, Yongsik Sim, Sungwon Kim, Eun-Kyung KimUltrasonography. 2021;40(1):93-102. Published online April 1, 2020 DOI: https://doi.org/10.14366/usg.20026103 Impact of respiratory motion on liver stiffness measurements according to different shear wave elastography techniques and region of interest methods: a phantom study Jee Hyeon Lee, Sang Min Lee, Jeong Hee Yoon, Min-Jeong Kim, Hong Il Ha, Sung-Joon Park, Eun Soo Kim, Kwanseop Lee, Jeong Min LeeUltrasonography. 2021;40(1):103-114. Published online April 12, 2020 DOI: https://doi.org/10.14366/usg.19079115 Malignancy risk of thyroid nodules with nonshadowing echogenic foci Yu-Mee Sohn, Dong Gyu Na, Wooyul Paik, Hye Yun Gwon, Byeong-Joo NohUltrasonography. 2021;40(1):115-125. Published online April 19, 2020 DOI: https://doi.org/10.14366/usg.20012126 Test-retest repeatability of ultrasonographic shear wave elastography in a rat liver fibrosis model: toward a quantitative biomarker for preclinical trials Youngbin Shin, Jimi Huh, Su Jung Ham, Young Chul Cho, Yoonseok Choi, Dong-Cheol Woo, Jeongjin Lee, Kyung Won KimUltrasonography. 2021;40(1):126-135. Published online April 23, 2020 DOI: https://doi.org/10.14366/usg.19088136 Quantitative ultrasound radiofrequency data analysis for the assessment of hepatic steatosis using the controlled attenuation parameter as a reference standard Sun Kyung Jeon, Ijin Joo, So Yeon Kim, Jong Keon Jang, Juil Park, Hee Sun Park, Eun Sun Lee, Jeong Min LeeUltrasonography. 2021;40(1):136-146. Published online May 9, 2020 DOI: https://doi.org/10.14366/usg.20042147 Whirling technique for thyroid fine needle aspiration biopsy: a preliminary study of effectiveness and safety Jae Ho Shin, Seung Wan Han, Hyang Lim Lee, Yon Kwon IhnUltrasonography. 2021;40(1):147-157. Published online May 9, 2020 DOI: https://doi.org/10.14366/usg.20031158 Reproducibility of shear wave elastography among operators, machines, and probes in an elasticity phantom Abdulaziz Ibrahim Alrashed, Abdulrahman M. AlfuraihUltrasonography. 2021;40(1):158-166. Published online May 9, 2020 DOI: https://doi.org/10.14366/usg.20011167 US LI-RADS visualization score: diagnostic outcome of ultrasound-guided focal hepatic lesion biopsy in patients at risk for hepatocellular carcinoma Ji Hun Kang, Sang Hyun Choi, So Yeon Kim, So Jung Lee, Yong Moon Shin, Hyung Jin Won, Pyo-Nyun KimUltrasonography. 2021;40(1):167-175. Published online May 9, 2020 DOI: https://doi.org/10.14366/usg.19066