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Cited by in F6Publishing
For: Placidi L, Gioscio E, Garibaldi C, Rancati T, Fanizzi A, Maestri D, Massafra R, Menghi E, Mirandola A, Reggiori G, Sghedoni R, Tamborra P, Comi S, Lenkowicz J, Boldrini L, Avanzo M. A Multicentre Evaluation of Dosiomics Features Reproducibility, Stability and Sensitivity. Cancers (Basel) 2021;13:3835. [PMID: 34359737 DOI: 10.3390/cancers13153835] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 7.0] [Reference Citation Analysis]
Number Citing Articles
1 Zanca F, Brusasco C, Pesapane F, Kwade Z, Beckers R, Avanzo M. Regulatory Aspects of the Use of Artificial Intelligence Medical Software. Seminars in Radiation Oncology 2022;32:432-441. [DOI: 10.1016/j.semradonc.2022.06.012] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Sheen H, Shin H, Kim H, Kim C, Kim J, Kim JS, Hong C. Investigation of the characteristics of multileaf collimator position errors: dose distribution- based error classification.. [DOI: 10.21203/rs.3.rs-1987884/v1] [Reference Citation Analysis]
3 Puttanawarut C, Sirirutbunkajorn N, Tawong N, Khachonkham S, Pattaranutaporn P, Wongsawat Y. Impact of Interfractional Error on Dosiomic Features. Front Oncol 2022;12:726896. [PMID: 35756677 DOI: 10.3389/fonc.2022.726896] [Reference Citation Analysis]
4 Miserocchi G, Spadazzi C, Calpona S, De Rosa F, Usai A, De Vita A, Liverani C, Cocchi C, Vanni S, Calabrese C, Bassi M, De Luca G, Meccariello G, Ibrahim T, Schiavone M, Mercatali L. Precision Medicine in Head and Neck Cancers: Genomic and Preclinical Approaches. J Pers Med 2022;12:854. [PMID: 35743639 DOI: 10.3390/jpm12060854] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
5 Bonomo P, Socarras Fernandez J, Thorwarth D, Casati M, Livi L, Zips D, Gani C. Simulation CT-based radiomics for prediction of response after neoadjuvant chemo-radiotherapy in patients with locally advanced rectal cancer. Radiat Oncol 2022;17:84. [PMID: 35484597 DOI: 10.1186/s13014-022-02053-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
6 Chen J, Bermejo I, Dekker A, Wee L. Generative models improve radiomics performance in different tasks and different datasets: An experimental study. Phys Med 2022;98:11-7. [PMID: 35468494 DOI: 10.1016/j.ejmp.2022.04.008] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
7 Zhang X, Zhang Y, Zhang G, Qiu X, Tan W, Yin X, Liao L. Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential. Front Oncol 2022;12:773840. [DOI: 10.3389/fonc.2022.773840] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]