World Journal of Radiology - Baishideng Publishing Group

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For:	Yang YH, Li Y. Deep learning-based imaging model to predict early hematoma enlargement and hospital mortality in spontaneous intracerebral hemorrhage. World J Radiol 2026; 18(1): 115504 [PMID: 41640706 DOI: 10.4329/wjr.v18.i1.115504]
URL:	https://www.wjgnet.com/1949-8470/full/v18/i1/115504.htm

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Number	Citing Articles
1	Qiang Wang, Jian-She Yang. Letter to the Editor: Traditional medical image interpretation and deep learning-based image analysis in predicting risk in patients with spontaneous intracerebral hemorrhage. World Journal of Radiology 2026; 18(5): 118969 doi: 10.4329/wjr.v18.i5.118969 Abstract(10) \| Core Tip(7) \| Full Article(HTML)(17) \| Full Article (PDF)-329K(2) \| Full Article with Cover (PDF)-661K(0) \| Full Article (XML)-24K(1) \| Audio-390K(2) \| Peer-Review Report-255K(1) \| Answering Reviewers-265K(2) \| Times Cited (0) \| Total Visits (20) \| Open

Number

Citing Articles

Qiang Wang, Jian-She Yang. Letter to the Editor: Traditional medical image interpretation and deep learning-based image analysis in predicting risk in patients with spontaneous intracerebral hemorrhage. World Journal of Radiology 2026; 18(5): 118969 doi: 10.4329/wjr.v18.i5.118969

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