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Cited by in F6Publishing

For:	Wang Z, He Y, Wang N, Zhang T, Wu H, Jiang X, Mo L. Clinical value of texture analysis in differentiation of urothelial carcinoma based on multiphase computed tomography images. Medicine (Baltimore) 2020;99:e20093. [PMID: 32358396 DOI: 10.1097/MD.0000000000020093] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]

For:

Wang Z, He Y, Wang N, Zhang T, Wu H, Jiang X, Mo L. Clinical value of texture analysis in differentiation of urothelial carcinoma based on multiphase computed tomography images. Medicine (Baltimore) 2020;99:e20093. [PMID: 32358396 DOI: 10.1097/MD.0000000000020093] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]

Number	Citing Articles
1	Evrimler S, Ali Gedik M, Ahmet Serel T, Ertunc O, Alperen Ozturk S, Soyupek S. Bladder Urothelial Carcinoma: Machine Learning-based Computed Tomography Radiomics for Prediction of Histological Variant. Academic Radiology 2022. [DOI: 10.1016/j.acra.2022.02.007] [Reference Citation Analysis]
2	Razik A, Das CJ, Sharma R, Malla S, Sharma S, Seth A, Srivastava DN. Utility of first order MRI-Texture analysis parameters in the prediction of histologic grade and muscle invasion in urinary bladder cancer: a preliminary study. Br J Radiol 2021;94:20201114. [PMID: 33882245 DOI: 10.1259/bjr.20201114] [Reference Citation Analysis]