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Cited by in F6Publishing
For: Wesdorp NJ, Hellingman T, Jansma EP, van Waesberghe JTM, Boellaard R, Punt CJA, Huiskens J, Kazemier G. Advanced analytics and artificial intelligence in gastrointestinal cancer: a systematic review of radiomics predicting response to treatment. Eur J Nucl Med Mol Imaging 2021;48:1785-94. [PMID: 33326049 DOI: 10.1007/s00259-020-05142-w] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Chuanji Z, Zheng W, Shaolv L, Linghou M, Yixin L, Xinhui L, Ling L, Yunjing T, Shilai Z, Shaozhou M, Boyang Z. Comparative study of radiomics, tumor morphology, and clinicopathological factors in predicting overall survival of patients with rectal cancer before surgery. Translational Oncology 2022;18:101352. [DOI: 10.1016/j.tranon.2022.101352] [Reference Citation Analysis]
2 Cutaia G, La Tona G, Comelli A, Vernuccio F, Agnello F, Gagliardo C, Salvaggio L, Quartuccio N, Sturiale L, Stefano A, Calamia M, Arnone G, Midiri M, Salvaggio G. Radiomics and Prostate MRI: Current Role and Future Applications. J Imaging 2021;7:34. [PMID: 34460633 DOI: 10.3390/jimaging7020034] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
3 Jiang J, Teng L. Letter to the editor: new response evaluation criteria using early morphological change in imatinib treatment for patients with gastrointestinal stromal tumor. Gastric Cancer 2021;24:1374-5. [PMID: 34482433 DOI: 10.1007/s10120-021-01246-w] [Reference Citation Analysis]
4 Kao YS, Hsu Y. A Meta-Analysis for Using Radiomics to Predict Complete Pathological Response in Esophageal Cancer Patients Receiving Neoadjuvant Chemoradiation. In Vivo 2021;35:1857-63. [PMID: 33910873 DOI: 10.21873/invivo.12448] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Miranda J, Tan GXV, Fernandes MC, Yildirim O, Sims JA, Araujo-Filho JAB, de M Machado FA, Assuncao-Jr AN, Nomura CH, Horvat N. Rectal MRI radiomics for predicting pathological complete response: Where we are. Clin Imaging 2021;82:141-9. [PMID: 34826772 DOI: 10.1016/j.clinimag.2021.10.005] [Reference Citation Analysis]