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Isuru Dharmarathna

Showing results (1-10 of 9) with videos related to

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European Journal of Pediatrics|January 5, 2020
Twenty years of quantitative instrumental measures of swallowing in children: a systematic reviewIsuru Dharmarathna, Anna Miles, Jacqui Allen
American Journal of Speech-Language Pathology|March 19, 2021
Quantifying Bolus Residue and Its Risks in Children: A Videofluoroscopic StudyIsuru Dharmarathna, Anna Miles, Jacqui Allen
European Archives of Oto-Rhino-Laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery|February 10, 2021
Predicting penetration-aspiration through quantitative swallow measures of children: a videofluoroscopic studyIsuru Dharmarathna, Anna Miles, Jacqui Allen
Current Opinion in Otolaryngology & Head and Neck Surgery|October 17, 2018
Current approaches to instrumental assessment of swallowing in childrenIsuru Dharmarathna, Anna Miles, Jacqui E Allen
Dysphagia|March 17, 2022
Variability in Swallowing Biomechanics in Infants with Feeding Difficulties: A Videofluoroscopic AnalysisLaura Fuller, Anna Miles, Isuru Dharmarathna, et al.
International Journal of Pediatric Otorhinolaryngology|August 31, 2020
Quantitative video-fluoroscopic analysis of swallowing in infantsIsuru Dharmarathna, Anna Miles, Laura Fuller, et al.
American Journal of Speech-Language Pathology|March 18, 2022
Developing a Protocol for Quantitative Analysis of Liquid Swallowing in ChildrenAnna Miles, Isuru Dharmarathna, Laura Fuller, et al.
BMJ Open|January 8, 2022
Stakeholders' perspectives on the provision of vocational training for youth with disabilities in Sri Lanka: protocol for a mixed-methods studyUvini Tharumali Colonne, Isuru Dharmarathna, Dhammika Deepani Siriwardhana, et al.
Computers in Biology and Medicine|December 2, 2025
Automated detection of chewing movements in videofluoroscopic swallowing studies using deep learning for landmark detection and motion analysisAndrea Bandini, Angelo Lasala, Melanie Peladeau-Pigeon, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
European Journal of Pediatrics|January 5, 2020
Twenty years of quantitative instrumental measures of swallowing in children: a systematic reviewIsuru Dharmarathna, Anna Miles, Jacqui Allen
American Journal of Speech-Language Pathology|March 19, 2021
Quantifying Bolus Residue and Its Risks in Children: A Videofluoroscopic StudyIsuru Dharmarathna, Anna Miles, Jacqui Allen
European Archives of Oto-Rhino-Laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery|February 10, 2021
Predicting penetration-aspiration through quantitative swallow measures of children: a videofluoroscopic studyIsuru Dharmarathna, Anna Miles, Jacqui Allen
Current Opinion in Otolaryngology & Head and Neck Surgery|October 17, 2018
Current approaches to instrumental assessment of swallowing in childrenIsuru Dharmarathna, Anna Miles, Jacqui E Allen
Dysphagia|March 17, 2022
Variability in Swallowing Biomechanics in Infants with Feeding Difficulties: A Videofluoroscopic AnalysisLaura Fuller, Anna Miles, Isuru Dharmarathna, et al.
International Journal of Pediatric Otorhinolaryngology|August 31, 2020
Quantitative video-fluoroscopic analysis of swallowing in infantsIsuru Dharmarathna, Anna Miles, Laura Fuller, et al.
American Journal of Speech-Language Pathology|March 18, 2022
Developing a Protocol for Quantitative Analysis of Liquid Swallowing in ChildrenAnna Miles, Isuru Dharmarathna, Laura Fuller, et al.
BMJ Open|January 8, 2022
Stakeholders' perspectives on the provision of vocational training for youth with disabilities in Sri Lanka: protocol for a mixed-methods studyUvini Tharumali Colonne, Isuru Dharmarathna, Dhammika Deepani Siriwardhana, et al.
Computers in Biology and Medicine|December 2, 2025
Automated detection of chewing movements in videofluoroscopic swallowing studies using deep learning for landmark detection and motion analysisAndrea Bandini, Angelo Lasala, Melanie Peladeau-Pigeon, et al.
Pageof 1