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Cited by in F6Publishing
For: Gao Y, Mao Y, Lu S, Tan L, Li G, Chen J, Huang D, Zhang X, Qiu Y, Liu Y. Magnetic resonance imaging-based radiogenomics analysis for predicting prognosis and gene expression profile in advanced nasopharyngeal carcinoma. Head Neck 2021. [PMID: 34516714 DOI: 10.1002/hed.26867] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Lu S, Ling H, Chen J, Tan L, Gao Y, Li H, Tan P, Huang D, Zhang X, Liu Y, Mao Y, Qiu Y. MRI-based radiomics analysis for preoperative evaluation of lymph node metastasis in hypopharyngeal squamous cell carcinoma. Front Oncol 2022;12:936040. [DOI: 10.3389/fonc.2022.936040] [Reference Citation Analysis]
2 Hu Q, Wang G, Song X, Wan J, Li M, Zhang F, Chen Q, Cao X, Li S, Wang Y. Machine Learning Based on MRI DWI Radiomics Features for Prognostic Prediction in Nasopharyngeal Carcinoma. Cancers 2022;14:3201. [DOI: 10.3390/cancers14133201] [Reference Citation Analysis]
3 Duan W, Xiong B, Tian T, Zou X, He Z, Zhang L. Radiomics in Nasopharyngeal Carcinoma. Clin Med Insights Oncol 2022;16:11795549221079186. [PMID: 35237090 DOI: 10.1177/11795549221079186] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]