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Cited by in F6Publishing
For: Causa Andrieu P, Woo S, Kim TH, Kertowidjojo E, Hodgson A, Sun S. New imaging modalities to distinguish rare uterine mesenchymal cancers from benign uterine lesions. Curr Opin Oncol 2021;33:464-75. [PMID: 34172593 DOI: 10.1097/CCO.0000000000000758] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Dai M, Liu Y, Hu Y, Li G, Zhang J, Xiao Z, Lv F. Combining multiparametric MRI features-based transfer learning and clinical parameters: application of machine learning for the differentiation of uterine sarcomas from atypical leiomyomas. Eur Radiol 2022;32:7988-97. [PMID: 35583712 DOI: 10.1007/s00330-022-08783-7] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
2 Lin Y, Wu RC, Huang YL, Chen K, Tseng SC, Wang CJ, Chao A, Lai CH, Lin G. Uterine fibroid-like tumors: spectrum of MR imaging findings and their differential diagnosis. Abdom Radiol (NY) 2022;47:2197-208. [PMID: 35347386 DOI: 10.1007/s00261-022-03431-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]