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Cited by in F6Publishing
For: Alshazly H, Linse C, Abdalla M, Barth E, Martinetz T. COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans. PeerJ Comput Sci 2021;7:e655. [PMID: 34401477 DOI: 10.7717/peerj-cs.655] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Yang D, Martinez C, Visuña L, Khandhar H, Bhatt C, Carretero J. Detection and analysis of COVID-19 in medical images using deep learning techniques. Sci Rep 2021;11:19638. [PMID: 34608186 DOI: 10.1038/s41598-021-99015-3] [Reference Citation Analysis]
2 Saqib M, Anwar A, Anwar S, Petersson L, Sharma N, Blumenstein M. COVID-19 Detection from Radiographs: Is Deep Learning Able to Handle the Crisis? Signals 2022;3:296-312. [DOI: 10.3390/signals3020019] [Reference Citation Analysis]
3 Wu D, Chen S, Zhang Y, Zhang H, Wang Q, Li J, Fu Y, Wang S, Yang H, Du H, Zhu H, Pan H, Shen Z. Facial Recognition Intensity in Disease Diagnosis Using Automatic Facial Recognition. J Pers Med 2021;11:1172. [PMID: 34834524 DOI: 10.3390/jpm11111172] [Reference Citation Analysis]
4 Tazin T, Sarker S, Gupta P, Ayaz F, Islam S, Monirujjaman Khan M, Bourouis S, Idris SA, Alshazly H. A Robust and Novel Approach for Brain Tumor Classification Using Convolutional Neural Network. Comput Intell Neurosci 2021;2021:2392395. [PMID: 34970309 DOI: 10.1155/2021/2392395] [Reference Citation Analysis]