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Cited by in CrossRef
For: Huang Z, Shu Z, Zhu RH, Xin JY, Wu LL, Wang HZ, Chen J, Zhang ZW, Luo HC, Li KY. Deep learning-based radiomics based on contrast-enhanced ultrasound predicts early recurrence and survival outcome in hepatocellular carcinoma. World J Gastrointest Oncol 2022; 14(12): 2380-2392 [PMID: 36568943 DOI: 10.4251/wjgo.v14.i12.2380]
URL: https://www.wjgnet.com/1948-5204/full/v14/i12/2380.htm
Number Citing Articles
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Davide Ippolito, Cesare Maino, Marco Gatti, Paolo Marra, Riccardo Faletti, Francesco Cortese, Riccardo Inchingolo, Sandro Sironi. Radiological findings in non-surgical recurrent hepatocellular carcinoma: From locoregional treatments to immunotherapyWorld Journal of Gastroenterology 2023; 29(11): 1669-1684 doi: 10.3748/wjg.v29.i11.1669
Gary S. Collins, Rebecca Whittle, Garrett S. Bullock, Patricia Logullo, Paula Dhiman, Jennifer A. de Beyer, Richard D. Riley, Michael M. Schlussel. Open science practices need substantial improvement in prognostic model studies in oncology using machine learningJournal of Clinical Epidemiology 2024; 165: 111199 doi: 10.1016/j.jclinepi.2023.10.015
Julien Calderaro, Laura Žigutytė, Daniel Truhn, Ariel Jaffe, Jakob Nikolas Kather. Artificial intelligence in liver cancer — new tools for research and patient managementNature Reviews Gastroenterology & Hepatology 2024;  doi: 10.1038/s41575-024-00919-y