has been cited by the following article(s):
[1]
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Analysis of Laryngeal High-Speed Videoendoscopy recordings – ROI detection
Biomedical Signal Processing and Control,
2022
DOI:10.1016/j.bspc.2022.103854
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[2]
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Analysis of Laryngeal High-Speed Videoendoscopy recordings – ROI detection
Biomedical Signal Processing and Control,
2022
DOI:10.1016/j.bspc.2022.103854
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[3]
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Laryngeal Image Processing of Vocal Folds Motion
Applied Sciences,
2020
DOI:10.3390/app10051556
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[4]
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Using Cluster Analysis for Image Processing in High Speed Video Laryngoscopy
2020 International Conference on Applied Electronics (AE),
2020
DOI:10.23919/AE49394.2020.9232826
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[5]
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Classification of laryngeal disorders based on shape and vascular defects of vocal folds
Computers in Biology and Medicine,
2015
DOI:10.1016/j.compbiomed.2015.02.001
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[6]
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An automatic method to detect and track the glottal gap from high speed videoendoscopic images
BioMedical Engineering OnLine,
2015
DOI:10.1186/s12938-015-0096-3
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