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Item

Count

PDF

HTML

234

Figures (1-5)

132

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109

Sum=514

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229

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Aug 27, 2025 (publication date) through Nov 11, 2025

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Times Cited (1)

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World Journal of Hepatology

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1948-5182

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

Cited by in CrossRef

For:	Zuo XY, Liu HF. Biparametric magnetic resonance imaging-based radiomic and deep learning models for predicting Ki-67 risk stratification in hepatocellular carcinoma. World J Hepatol 2025; 17(8): 109530 [PMID: 40901605 DOI: 10.4254/wjh.v17.i8.109530]
URL:	https://www.wjgnet.com/1948-5182/full/v17/i8/109530.htm

Number	Citing Articles
1	Shi-Qiong Zhou, Qing-Hua Ke. Advancing precision in hepatocellular carcinoma prognostication: The promise of biparametric magnetic resonance imaging-based multimodal models. World Journal of Hepatology 2025; 17(10): 112078 doi: 10.4254/wjh.v17.i10.112078 Abstract(12) \| Core Tip(9) \| Full Article(HTML)(43) \| Full Article with Cover (PDF)-652K(14) \| Audio-12865K(5) \| Peer-Review Report-210K(7) \| Answering Reviewers-105K(7) \| Full Article (PDF)-339K(15) \| Full Article (XML)-25K(8) \| Times Cited (0) \| Total Visits (432) \| Open

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Citing Articles

Shi-Qiong Zhou, Qing-Hua Ke. Advancing precision in hepatocellular carcinoma prognostication: The promise of biparametric magnetic resonance imaging-based multimodal models. World Journal of Hepatology 2025; 17(10): 112078 doi: 10.4254/wjh.v17.i10.112078