World Journal of Radiology - Baishideng Publishing Group

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For:	Yang YH, Li Y. Magnetic resonance imaging-based deep-learning radiomics score for survival prediction and risk stratification in pediatric hepatoblastoma receiving surgical resection. World J Radiol 2026; 18(1): 115503 [PMID: 41640707 DOI: 10.4329/wjr.v18.i1.115503]
URL:	https://www.wjgnet.com/1949-8470/full/v18/i1/115503.htm

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Number	Citing Articles
1	Ujjayita Chowdhury, Atharva A Mahajan, Muthu Subash Kavitha, Ramya Lakshmi Rajendran, Prakash Gangadaran, Byeong-Cheol Ahn. Letter to the Editor: Magnetic resonance imaging-based deep learning radiomics for preoperative risk stratification in pediatric hepatoblastoma. World Journal of Radiology 2026; 18(4): 118196 doi: 10.4329/wjr.v18.i4.118196 Abstract(68) \| Core Tip(62) \| Full Article(HTML)(145) \| Full Article (PDF)-799K(36) \| Full Article with Cover (PDF)-1136K(61) \| Full Article (XML)-43K(16) \| Audio-222K(6) \| Peer-Review Report-321K(20) \| Answering Reviewers-448K(30) \| Times Cited (0) \| Total Visits (374) \| Open

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Citing Articles

Ujjayita Chowdhury, Atharva A Mahajan, Muthu Subash Kavitha, Ramya Lakshmi Rajendran, Prakash Gangadaran, Byeong-Cheol Ahn. Letter to the Editor: Magnetic resonance imaging-based deep learning radiomics for preoperative risk stratification in pediatric hepatoblastoma. World Journal of Radiology 2026; 18(4): 118196 doi: 10.4329/wjr.v18.i4.118196