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Cited by in F6Publishing
For: Chiu FY, Yen Y. Efficient Radiomics-Based Classification of Multi-Parametric MR Images to Identify Volumetric Habitats and Signatures in Glioblastoma: A Machine Learning Approach. Cancers (Basel) 2022;14:1475. [PMID: 35326626 DOI: 10.3390/cancers14061475] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Martin P, Holloway L, Metcalfe P, Koh ES, Brighi C. Challenges in Glioblastoma Radiomics and the Path to Clinical Implementation. Cancers (Basel) 2022;14:3897. [PMID: 36010891 DOI: 10.3390/cancers14163897] [Reference Citation Analysis]
2 Tharmaseelan H, Hertel A, Rennebaum S, Nörenberg D, Haselmann V, Schoenberg SO, Froelich MF. The Potential and Emerging Role of Quantitative Imaging Biomarkers for Cancer Characterization. Cancers (Basel) 2022;14:3349. [PMID: 35884409 DOI: 10.3390/cancers14143349] [Reference Citation Analysis]
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