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198

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3863

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491

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Jan 28, 2024 (publication date) through Dec 9, 2025

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World Journal of Gastroenterology

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1007-9327

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

Cited by in CrossRef

For:	Brancato V, Cerrone M, Garbino N, Salvatore M, Cavaliere C. Current status of magnetic resonance imaging radiomics in hepatocellular carcinoma: A quantitative review with Radiomics Quality Score. World J Gastroenterol 2024; 30(4): 381-417 [PMID: 38313230 DOI: 10.3748/wjg.v30.i4.381]
URL:	https://www.wjgnet.com/2218-4333/full/v30/i4/381.htm

Number	Citing Articles
1	Xiong Teng, Quan-Neng Luo, Yi-Di Chen, Tao Peng. From texture analysis to artificial intelligence: global research landscape and evolutionary trajectory of radiomics in hepatocellular carcinoma. Discover Oncology 2025; 16(1) doi: 10.1007/s12672-025-03620-x
2	Flavio Spoto, Nicolo’ Cardobi, Riccardo De Robertis, Luca Geraci, Luisa Tomaiuolo, Eda Bardhi, Beatrice Mascarin, Claudio Luchini, Andrea Ruzzenente, Mirko D’Onofrio. Radiomics of Hepatocellular Carcinoma: Identifying Predictors of Microvascular Invasion Using Multi-Phase CT Analysis. Journal of Personalized Medicine 2025; 15(11): 527 doi: 10.3390/jpm15110527
3	Chun-Han Cheng, Wen-Rui Hao, Tzu-Hurng Cheng. Radiomics and molecular analysis: Bridging the gap for predicting hepatocellular carcinoma prognosis. World Journal of Clinical Cases 2025; 13(4): 98550 doi: 10.12998/wjcc.v13.i4.98550 Abstract(488) \| Core Tip(492) \| Full Article(HTML)(1066) \| Full Article with Cover (PDF)-1130K(90) \| Audio-370K(10) \| Peer-Review Report-293K(84) \| Answering Reviewers-202K(75) \| Full Article (PDF)-779K(99) \| Full Article (XML)-42K(83) \| Times Cited (0) \| Total Visits (4329) \| Open
4	Riccardo Ferrari, Margherita Trinci, Alice Casinelli, Francesca Treballi, Edoardo Leone, Damiano Caruso, Michela Polici, Lorenzo Faggioni, Emanuele Neri, Michele Galluzzo. Radiomics in radiology: What the radiologist needs to know about technical aspects and clinical impact. La radiologia medica 2024; 129(12): 1751 doi: 10.1007/s11547-024-01904-w
5	Cagatay Neftali Tulu, Turgay Ibrikci. The potential of radiomics features in the detection of hepatocellular carcinoma (HCC) in 2D liver MRI images by using machine learning methods. Signal, Image and Video Processing 2025; 19(7) doi: 10.1007/s11760-025-04162-z