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Cited by in F6Publishing

For:	Sun C, Xiong X, Zhang T, Guan X, Mao H, Yang J, Zhang X, Sun Y, Chen H, Xie G. Deep Learning for Accurate Segmentation of Venous Thrombus from Black-Blood Magnetic Resonance Images: A Multicenter Study. Biomed Res Int 2021;2021:4989297. [PMID: 34950733 DOI: 10.1155/2021/4989297] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]

For:

Sun C, Xiong X, Zhang T, Guan X, Mao H, Yang J, Zhang X, Sun Y, Chen H, Xie G. Deep Learning for Accurate Segmentation of Venous Thrombus from Black-Blood Magnetic Resonance Images: A Multicenter Study. Biomed Res Int 2021;2021:4989297. [PMID: 34950733 DOI: 10.1155/2021/4989297] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]

Number	Citing Articles
1	Seo JW, Park S, Kim YJ, Hwang JH, Yu SH, Kim JH, Kim KG. Artificial intelligence-based iliofemoral deep venous thrombosis detection using a clinical approach. Sci Rep 2023;13:967. [PMID: 36653367 DOI: 10.1038/s41598-022-25849-0] [Reference Citation Analysis]
2	Seo JW, Park S, Kim YJ, Hwang JH, Yu SH, Kim JH, Kim KG. Artificial intelligence-based iliofemoral deep venous thrombosis detection using a clinical approach.. [DOI: 10.21203/rs.3.rs-1921650/v1] [Reference Citation Analysis]