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Cited by in F6Publishing
For: Zhong T, Wu M, Ma S. Examination of Independent Prognostic Power of Gene Expressions and Histopathological Imaging Features in Cancer. Cancers (Basel) 2019;11:E361. [PMID: 30871256 DOI: 10.3390/cancers11030361] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Zhang S, Fan Y, Zhong T, Ma S. Histopathological imaging features- versus molecular measurements-based cancer prognosis modeling. Sci Rep 2020;10:15030. [PMID: 32929170 DOI: 10.1038/s41598-020-72201-5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
2 He B, Zhong T, Huang J, Liu Y, Zhang Q, Ma S. Histopathological imaging‐based cancer heterogeneity analysis via penalized fusion with model averaging. Biometrics. [DOI: 10.1111/biom.13357] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
3 Brenner C. Applications of Bioinformatics in Cancer. Cancers (Basel) 2019;11:E1630. [PMID: 31652939 DOI: 10.3390/cancers11111630] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
4 Li H, Chen L, Zeng H, Liao Q, Ji J, Ma X. Integrative Analysis of Histopathological Images and Genomic Data in Colon Adenocarcinoma. Front Oncol 2021;11:636451. [PMID: 34646756 DOI: 10.3389/fonc.2021.636451] [Reference Citation Analysis]
5 Azuaje F, Kim SY, Perez Hernandez D, Dittmar G. Connecting Histopathology Imaging and Proteomics in Kidney Cancer through Machine Learning. J Clin Med 2019;8:E1535. [PMID: 31557788 DOI: 10.3390/jcm8101535] [Cited by in Crossref: 11] [Cited by in F6Publishing: 7] [Article Influence: 3.7] [Reference Citation Analysis]
6 Zeng H, Chen L, Huang Y, Luo Y, Ma X. Integrative Models of Histopathological Image Features and Omics Data Predict Survival in Head and Neck Squamous Cell Carcinoma. Front Cell Dev Biol 2020;8:553099. [PMID: 33195188 DOI: 10.3389/fcell.2020.553099] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
7 Xu Y, Zhong T, Wu M, Ma S. Histopathological Imaging⁻Environment Interactions in Cancer Modeling. Cancers (Basel) 2019;11:E579. [PMID: 31022926 DOI: 10.3390/cancers11040579] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 1.7] [Reference Citation Analysis]
8 Chen L, Zeng H, Zhang M, Luo Y, Ma X. Histopathological image and gene expression pattern analysis for predicting molecular features and prognosis of head and neck squamous cell carcinoma. Cancer Med 2021;10:4615-28. [PMID: 33987946 DOI: 10.1002/cam4.3965] [Reference Citation Analysis]
9 Ren M, Zhang Q, Zhang S, Zhong T, Huang J, Ma S. Hierarchical cancer heterogeneity analysis based on histopathological imaging features. Biometrics 2021. [PMID: 34390584 DOI: 10.1111/biom.13544] [Reference Citation Analysis]