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Cited by in F6Publishing
For: Autorino R, Gui B, Panza G, Boldrini L, Cusumano D, Russo L, Nardangeli A, Persiani S, Campitelli M, Ferrandina G, Macchia G, Valentini V, Gambacorta MA, Manfredi R. Radiomics-based prediction of two-year clinical outcome in locally advanced cervical cancer patients undergoing neoadjuvant chemoradiotherapy. Radiol Med 2022. [PMID: 35325372 DOI: 10.1007/s11547-022-01482-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Conte C, Della Corte L, Pelligra S, Bifulco G, Abate B, Riemma G, Palumbo M, Cianci S, Ercoli A. Assessment of Salvage Surgery in Persistent Cervical Cancer after Definitive Radiochemotherapy: A Systematic Review. Medicina 2023;59:192. [DOI: 10.3390/medicina59020192] [Reference Citation Analysis]
2 Sansone M, Fusco R, Grassi F, Gatta G, Belfiore MP, Angelone F, Ricciardi C, Ponsiglione AM, Amato F, Galdiero R, Grassi R, Granata V, Grassi R. Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography. Curr Oncol 2023;30:839-53. [PMID: 36661713 DOI: 10.3390/curroncol30010064] [Reference Citation Analysis]
3 Wang F, Zheng H, Li J, Li P, Zheng C, Chen Q, Huang C, Xie J. Prediction of recurrence-free survival and adjuvant therapy benefit in patients with gastrointestinal stromal tumors based on radiomics features. Radiol med 2022;127:1085-1097. [DOI: 10.1007/s11547-022-01549-7] [Reference Citation Analysis]
4 Bicci E, Nardi C, Calamandrei L, Pietragalla M, Cavigli E, Mungai F, Bonasera L, Miele V. Role of Texture Analysis in Oropharyngeal Carcinoma: A Systematic Review of the Literature. Cancers (Basel) 2022;14:2445. [PMID: 35626048 DOI: 10.3390/cancers14102445] [Reference Citation Analysis]