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For: Wu J, Liang F, Wei R, Lai S, Lv X, Luo S, Wu Z, Chen H, Zhang W, Zeng X, Ye X, Wu Y, Wei X, Jiang X, Zhen X, Yang R. A Multiparametric MR-Based RadioFusionOmics Model with Robust Capabilities of Differentiating Glioblastoma Multiforme from Solitary Brain Metastasis. Cancers (Basel) 2021;13:5793. [PMID: 34830943 DOI: 10.3390/cancers13225793] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Bijari S, Jahanbakhshi A, Hajishafiezahramini P, Abdolmaleki P, Du J. Differentiating Glioblastoma Multiforme from Brain Metastases Using Multidimensional Radiomics Features Derived from MRI and Multiple Machine Learning Models. BioMed Research International 2022;2022:1-10. [DOI: 10.1155/2022/2016006] [Reference Citation Analysis]
2 Baba A, Kurokawa R, Kurokawa M, Hassan O, Ota Y, Srinivasan A. ADC for Differentiation between Posttreatment Changes and Recurrence in Head and Neck Cancer: A Systematic Review and Meta-analysis. AJNR Am J Neuroradiol 2022;43:442-7. [PMID: 35210272 DOI: 10.3174/ajnr.A7431] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
3 Mărginean L, Ștefan PA, Lebovici A, Opincariu I, Csutak C, Lupean RA, Coroian PA, Suciu BA. CT in the Differentiation of Gliomas from Brain Metastases: The Radiomics Analysis of the Peritumoral Zone. Brain Sciences 2022;12:109. [DOI: 10.3390/brainsci12010109] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 10.0] [Reference Citation Analysis]