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Cited by in F6Publishing
For: Wang L, Wang H, Huang Y, Yan B, Chang Z, Liu Z, Zhao M, Cui L, Song J, Li F. Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 2020. Eur J Radiol 2022;146:110069. [PMID: 34847395 DOI: 10.1016/j.ejrad.2021.110069] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
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1 Siriapisith T, Kusakunniran W, Haddawy P. A retrospective study of 3D deep learning approach incorporating coordinate information to improve the segmentation of pre- and post-operative abdominal aortic aneurysm. PeerJ Computer Science 2022;8:e1033. [DOI: 10.7717/peerj-cs.1033] [Reference Citation Analysis]
2 Negrini D, Danese E, Henry BM, Lippi G, Montagnana M. Artificial intelligence at the time of COVID-19: who does the lion's share? Clin Chem Lab Med 2022. [PMID: 35470639 DOI: 10.1515/cclm-2022-0306] [Reference Citation Analysis]
3 Krauze AV, Zhuge Y, Zhao R, Tasci E, Camphausen K. AI-Driven Image Analysis in Central Nervous System Tumors-Traditional Machine Learning, Deep Learning and Hybrid Models. J Biotechnol Biomed 2022;5:1-19. [PMID: 35106480 DOI: 10.26502/jbb.2642-91280046] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Arsalan M, Haider A, Koo JH, Park KR. Segmenting Retinal Vessels Using a Shallow Segmentation Network to Aid Ophthalmic Analysis. Mathematics 2022;10:1536. [DOI: 10.3390/math10091536] [Reference Citation Analysis]