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Cited by in F6Publishing
For: Shen YT, Chen L, Yue WW, Xu HX. Artificial intelligence in ultrasound. Eur J Radiol 2021;139:109717. [PMID: 33962110 DOI: 10.1016/j.ejrad.2021.109717] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Kornblith AE, Addo N, Dong R, Rogers R, Grupp-Phelan J, Butte A, Gupta P, Callcut RA, Arnaout R. Development and Validation of a Deep Learning Strategy for Automated View Classification of Pediatric Focused Assessment With Sonography for Trauma. J Ultrasound Med 2021. [PMID: 34741469 DOI: 10.1002/jum.15868] [Reference Citation Analysis]
2 Jacobson JA, Middleton WD, Allison SJ, Dahiya N, Lee KS, Levine BD, Lucas DR, Murphey MD, Nazarian LN, Siegel GW, Wagner JM. Ultrasonography of Superficial Soft-Tissue Masses: Society of Radiologists in Ultrasound Consensus Conference Statement. Radiology 2022;:211101. [PMID: 35412355 DOI: 10.1148/radiol.211101] [Reference Citation Analysis]
3 Bini F, Pica A, Azzimonti L, Giusti A, Ruinelli L, Marinozzi F, Trimboli P. Artificial Intelligence in Thyroid Field-A Comprehensive Review. Cancers (Basel) 2021;13:4740. [PMID: 34638226 DOI: 10.3390/cancers13194740] [Reference Citation Analysis]