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Cited by in CrossRef
For: Cao LL, Peng M, Xie X, Chen GQ, Huang SY, Wang JY, Jiang F, Cui XW, Dietrich CF. Artificial intelligence in liver ultrasound. World J Gastroenterol 2022; 28(27): 3398-3409 [PMID: 36158262 DOI: 10.3748/wjg.v28.i27.3398]
URL: https://www.wjgnet.com/1948-5182/full/v28/i27/3398.htm
Number Citing Articles
1
Jingpu Zhao, Yongfeng Xu. PITX1 plays essential functions in cancerFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1253238
2
Binqian Zhou, Jianxin Liu, Yaqin Yang, Xuewei Ye, Yang Liu, Mingfeng Mao, Xiaofeng Sun, Xinwu Cui, Qin Zhou. Ultrasound-based nomogram to predict the recurrence in papillary thyroid carcinoma using machine learningBMC Cancer 2024; 24(1) doi: 10.1186/s12885-024-12546-6
3
Roongruedee Chaiteerakij, Darlene Ariyaskul, Kittipat Kulkraisri, Terapap Apiparakoon, Sasima Sukcharoen, Oracha Chaichuen, Phaiboon Pensuwan, Thodsawit Tiyarattanachai, Rungsun Rerknimitr, Sanparith Marukatat. Artificial intelligence for ultrasonographic detection and diagnosis of hepatocellular carcinoma and cholangiocarcinomaScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-71657-z
4
Laura S. Kupke, Ivor Dropco, Markus Götz, Paul Kupke, Friedrich Jung, Christian Stroszczynski, Ernst-Michael Jung. Contrast-Enhanced Intraoperative Ultrasound Shows Excellent Performance in Improving Intraoperative Decision-MakingLife 2024; 14(9): 1199 doi: 10.3390/life14091199
5
Fei Xia, Wei Wei, Junli Wang, Yayang Duan, Kun Wang, Chaoxue Zhang. Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomicsBMC Medical Imaging 2024; 24(1) doi: 10.1186/s12880-024-01398-y
6
Odysseas P. Chatzipanagiotou, Constantinos Loukas, Michail Vailas, Nikolaos Machairas, Stylianos Kykalos, Georgios Charalampopoulos, Dimitrios Filippiadis, Evangellos Felekouras, Dimitrios Schizas. Artificial intelligence in hepatocellular carcinoma diagnosis: a comprehensive review of current literatureJournal of Gastroenterology and Hepatology 2024; 39(10): 1994 doi: 10.1111/jgh.16663
7
Arinc Ozturk, Viksit Kumar, Theodore T. Pierce, Qian Li, Masoud Baikpour, Ivan Rosado-Mendez, Michael Wang, Peng Guo, Scott Schoen, Yuyang Gu, Sunethra Dayavansha, Joseph R. Grajo, Anthony E. Samir. The Future Is Beyond Bright: The Evolving Role of Quantitative US for Fatty Liver DiseaseRadiology 2023; 309(2) doi: 10.1148/radiol.223146
8
Eloise S. Ockenden, Sandrena Ruth Frischer, Huike Cheng, J. Alison Noble, Goylette F. Chami, Elizabeth J. Carlton. The role of point-of-care ultrasound in the assessment of schistosomiasis-induced liver fibrosis: A systematic scoping reviewPLOS Neglected Tropical Diseases 2024; 18(3): e0012033 doi: 10.1371/journal.pntd.0012033
9
Wenpeng Huang, Yushuo Peng, Lei Kang. Advancements of non‐invasive imaging technologies for the diagnosis and staging of liver fibrosis: Present and futureVIEW 2024; 5(4) doi: 10.1002/VIW.20240010