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Cited by in F6Publishing
For: Cozzi A, Schiaffino S, Giorgi Rossi P, Sardanelli F. Breast cancer screening: in the era of personalized medicine, age is just a number. Quant Imaging Med Surg 2020;10:2401-7. [PMID: 33269240 DOI: 10.21037/qims-2020-26] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Tang Y, Liang M, Tao L, Deng M, Li T. Machine learning-based diagnostic evaluation of shear-wave elastography in BI-RADS category 4 breast cancer screening: a multicenter, retrospective study. Quant Imaging Med Surg 2022;12:1223-34. [PMID: 35111618 DOI: 10.21037/qims-21-341] [Reference Citation Analysis]
2 Bonelli LA, Calabrese M, Belli P, Corcione S, Losio C, Montemezzi S, Pediconi F, Petrillo A, Zuiani C, Camera L, Carbonaro LA, Cozzi A, De Falco Alfano D, Gristina L, Panzeri M, Poirè I, Schiaffino S, Tosto S, Trecate G, Trimboli RM, Valdora F, Viganò S, Sardanelli F. MRI versus Mammography plus Ultrasound in Women at Intermediate Breast Cancer Risk: Study Design and Protocol of the MRIB Multicenter, Randomized, Controlled Trial. Diagnostics (Basel) 2021;11:1635. [PMID: 34573983 DOI: 10.3390/diagnostics11091635] [Reference Citation Analysis]
3 Xu W, Zheng B, Chen W, Wen C, Zeng H, He Z, Qin G, Li Y. Can the delayed phase of quantitative contrast-enhanced mammography improve the diagnostic performance on breast masses? Quant Imaging Med Surg 2021;11:3684-97. [PMID: 34341742 DOI: 10.21037/qims-20-1092] [Reference Citation Analysis]
4 Gao Y, Liu B, Zhu Y, Chen L, Tan M, Xiao X, Yu G, Guo Y. Detection and recognition of ultrasound breast nodules based on semi-supervised deep learning: a powerful alternative strategy. Quant Imaging Med Surg 2021;11:2265-78. [PMID: 34079700 DOI: 10.21037/qims-20-12b] [Reference Citation Analysis]