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1843

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414

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Jul 28, 2024 (publication date) through Nov 17, 2025

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Times Cited (6)

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World Journal of Radiology

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1949-8470

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef

For:	Su LY, Xu M, Chen YL, Lin MX, Xie XY. Ultrasomics in liver cancer: Developing a radiomics model for differentiating intrahepatic cholangiocarcinoma from hepatocellular carcinoma using contrast-enhanced ultrasound. World J Radiol 2024; 16(7): 247-255 [PMID: 39086609 DOI: 10.4329/wjr.v16.i7.247]
URL:	https://www.wjgnet.com/1949-8470/full/v16/i7/247.htm

Number	Citing Articles
1	Dingbang Wang, Lixia Sun. Diagnostic Performance of Radiomics for Differentiating Intrahepatic Cholangiocarcinoma from Hepatocellular Carcinoma: A Systematic Review and Meta-analysis. Academic Radiology 2025; 32(11): 6555 doi: 10.1016/j.acra.2025.05.056
2	Minh Huu Nhat Le, Hien Quang Kha, Nghia Minh Tran, Phat Ky Nguyen, Han H. Huynh, Phat Kim Huynh, Han Lam, Nguyen Quoc Khanh Le. Radiomics in liver research: A paradigm shift in disease detection and staging. European Journal of Radiology Artificial Intelligence 2025; 2: 100016 doi: 10.1016/j.ejrai.2025.100016
3	Yubing Shen, Luwen Zhang, Peng Wu. The role of artificial intelligence in ultrasonographic diagnosis of liver cancer: Current status and future perspectives. Gastroenterology & Endoscopy 2025; 3(4): 241 doi: 10.1016/j.gande.2025.09.002
4	Adriana Ciocalteu, Cristiana M Urhut, Costin Teodor Streba, Adina Kamal, Madalin Mamuleanu, Larisa D Sandulescu. Artificial intelligence in contrast enhanced ultrasound: A new era for liver lesion assessment. World Journal of Gastroenterology 2025; 31(42): 112196 doi: 10.3748/wjg.v31.i42.112196 Abstract(9) \| Core Tip(10) \| Full Article(HTML)(61) \| Full Article with Cover (PDF)-2165K(5) \| Audio-952K(5) \| Peer-Review Report-368K(5) \| Answering Reviewers-468K(7) \| Full Article (PDF)-1873K(13) \| Full Article (XML)-126K(5) \| Times Cited (0) \| Total Visits (414) \| Open
5	Xian Zhong, Xiaoyan Xie. Multimodal Ultrasound Radiomics in Liver Disease: Current Status and Future Directions. Advanced Ultrasound in Diagnosis and Therapy 2025; 9(4): 388 doi: 10.26599/AUDT.2025.250101
6	Xiao jie Yu, Zheng lai Song, Xue yong Chang, Jie Yu, Ping Liang. Artificial Intelligence in Ultrasound Diagnosis of Liver Nodules: A Comprehensive Review of B-Mode and Contrast-enhanced Applications. Advanced Ultrasound in Diagnosis and Therapy 2025; 9(4): 326 doi: 10.26599/AUDT.2025.250098