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Cited by in F6Publishing
For: Yamada I, Miyasaka N, Kobayashi D, Wakana K, Oshima N, Wakabayashi A, Sakamoto J, Saida Y, Tateishi U, Eishi Y. Endometrial Carcinoma: Texture Analysis of Apparent Diffusion Coefficient Maps and Its Correlation with Histopathologic Findings and Prognosis. Radiol Imaging Cancer 2019;1:e190054. [PMID: 33778684 DOI: 10.1148/rycan.2019190054] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 0.7] [Reference Citation Analysis]
Number Citing Articles
1 Yalçın N, Kaşıkcı M, Çelik HT, Allegaert K, Demirkan K, Yiğit Ş, Yurdakök M. Novel Method for Early Prediction of Clinically Significant Drug-Drug Interactions with a Machine Learning Algorithm Based on Risk Matrix Analysis in the NICU. J Clin Med 2022;11:4715. [PMID: 36012954 DOI: 10.3390/jcm11164715] [Reference Citation Analysis]
2 Lefebvre TL, Ueno Y, Dohan A, Chatterjee A, Vallières M, Winter-Reinhold E, Saif S, Levesque IR, Zeng XZ, Forghani R, Seuntjens J, Soyer P, Savadjiev P, Reinhold C. Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer. Radiology 2022;:212873. [PMID: 35819326 DOI: 10.1148/radiol.212873] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Arita Y, Yoshida S, Kwee TC, Akita H, Okuda S, Iwaita Y, Mukai K, Matsumoto S, Ueda R, Ishii R, Mizuno R, Fujii Y, Oya M, Jinzaki M. Diagnostic value of texture analysis of apparent diffusion coefficient maps for differentiating fat-poor angiomyolipoma from non-clear-cell renal cell carcinoma. Eur J Radiol 2021;143:109895. [PMID: 34388418 DOI: 10.1016/j.ejrad.2021.109895] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
4 Mori N, Abe H, Mugikura S, Miyashita M, Mori Y, Oguma Y, Hirasawa M, Sato S, Takase K. Discriminating low-grade ductal carcinoma in situ (DCIS) from non-low-grade DCIS or DCIS upgraded to invasive carcinoma: effective texture features on ultrafast dynamic contrast-enhanced magnetic resonance imaging. Breast Cancer 2021;28:1141-53. [PMID: 33900583 DOI: 10.1007/s12282-021-01257-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]