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For: Chiu FY, Le NQK, Chen CY. A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine Learning. J Clin Med 2021;10:2030. [PMID: 34068528 DOI: 10.3390/jcm10092030] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Fan Y, He L, Yang H, Wang Y, Su J, Hou S, Luo Y, Jiang X. Preoperative MRI-Based Radiomics of Brain Metastasis to Assess T790M Resistance Mutation After EGFR-TKI Treatment in NSCLC. J Magn Reson Imaging 2022. [PMID: 36165534 DOI: 10.1002/jmri.28441] [Reference Citation Analysis]
2 Jiang X, Song J, Duan S, Cheng W, Chen T, Liu X. MRI radiomics combined with clinicopathologic features to predict disease-free survival in patients with early-stage cervical cancer. Br J Radiol 2022;95:20211229. [PMID: 35604668 DOI: 10.1259/bjr.20211229] [Reference Citation Analysis]
3 Cao R, Pang Z, Wang X, Du Z, Chen H, Liu J, Yue Z, Wang H, Luo Y, Jiang X. Radiomics evaluates the EGFR mutation status from the brain metastasis: a multi-center study. Phys Med Biol 2022;67:125003. [DOI: 10.1088/1361-6560/ac7192] [Reference Citation Analysis]
4 Ari AP, Akkurt BH, Musigmann M, Mammadov O, Blömer DA, Kasap DNG, Henssen DJHA, Nacul NG, Sartoretti E, Sartoretti T, Backhaus P, Thomas C, Stummer W, Heindel W, Mannil M. Pseudoprogression prediction in high grade primary CNS tumors by use of radiomics. Sci Rep 2022;12:5915. [PMID: 35396525 DOI: 10.1038/s41598-022-09945-9] [Reference Citation Analysis]
5 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]