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Cited by in F6Publishing
Number |
Citing Articles |
1 |
Pahar M, Klopper M, Warren R, Niesler T. COVID-19 cough classification using machine learning and global smartphone recordings. Comput Biol Med 2021;135:104572. [PMID: 34182331 DOI: 10.1016/j.compbiomed.2021.104572] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
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2 |
Pahar M, Klopper M, Reeve B, Warren R, Theron G, Niesler T. Automatic cough classification for tuberculosis screening in a real-world environment. Physiol Meas 2021;42. [PMID: 34649231 DOI: 10.1088/1361-6579/ac2fb8] [Reference Citation Analysis]
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3 |
Son M, Lee S. COVID-19 Diagnosis from Crowdsourced Cough Sound Data. Applied Sciences 2022;12:1795. [DOI: 10.3390/app12041795] [Reference Citation Analysis]
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4 |
Pahar M, Klopper M, Warren R, Niesler T. COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features. Comput Biol Med 2021;141:105153. [PMID: 34954610 DOI: 10.1016/j.compbiomed.2021.105153] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 8.0] [Reference Citation Analysis]
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5 |
Machacado-rojas AM, Aparicio-pico LE. Técnicas de inteligencia artificial aplicadas al análisis de imágenes diagnóstico. ECOMATEMATICO 2021;12. [DOI: 10.22463/17948231.3237] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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6 |
Sarker S, Jamal L, Ahmed SF, Irtisam N. Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review. Rob Auton Syst 2021;146:103902. [PMID: 34629751 DOI: 10.1016/j.robot.2021.103902] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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