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Cited by in F6Publishing
For: Xu X, Wang H, Guo Y, Zhang X, Li B, Du P, Liu Y, Lu H. Study Progress of Noninvasive Imaging and Radiomics for Decoding the Phenotypes and Recurrence Risk of Bladder Cancer. Front Oncol 2021;11:704039. [PMID: 34336691 DOI: 10.3389/fonc.2021.704039] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Wang Y, Zhang W, Xiao W, Chen S, Wei Y, Luo M. Feasibility of Early Evaluation for the Recurrence of Bladder Cancer after Trans-Urethral Resection: A Comparison between Magnetic Resonance Imaging and Multidetector Computed Tomography. Tomography 2022;9:25-35. [PMID: 36648990 DOI: 10.3390/tomography9010003] [Reference Citation Analysis]
2 Huang X, Wang X, Lan X, Deng J, Lei Y, Lin F. The role of radiomics with machine learning in the prediction of muscle-invasive bladder cancer: A mini review. Front Oncol 2022;12:990176. [DOI: 10.3389/fonc.2022.990176] [Reference Citation Analysis]
3 Ye F, Hu Y, Gao J, Liang Y, Liu Y, Ou Y, Cheng Z, Jiang H. Radiogenomics Map Reveals the Landscape of m6A Methylation Modification Pattern in Bladder Cancer. Front Immunol 2021;12:722642. [PMID: 34733275 DOI: 10.3389/fimmu.2021.722642] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]