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Proceedings of Spie--The International Society for Optical Engineering|October 4, 2016
The effects of compressive sensing on extracted features from tri-axial swallowing accelerometry signalsErvin Sejdić, Faezeh Movahedi, Zhenwei Zhang, et al.
Behavioural Brain Research|January 26, 2023
Investigation of neurobiological responses to theta burst stimulation during recovery from mild traumatic brain injury (mTBI)Hannah L Coyle, Neil W Bailey, Jennie Ponsford, et al.
Dysphagia|September 21, 2020
How Closely do Machine Ratings of Duration of UES Opening During Videofluoroscopy Approximate Clinician Ratings Using Temporal Kinematic Analyses and the MBSImP?Cara Donohue, Yassin Khalifa, Subashan Perera, et al.
Computers in Biology and Medicine|August 20, 2025
Non-invasive integrated swallowing kinematic analysis framework leveraging transformer-based multi-task neural networksAyman Anwar, Yassin Khalifa, Erin Lucatorto, et al.
Computer Methods and Programs in Biomedicine|November 23, 2024
Recent advancements and future directions in automatic swallowing analysis via videofluoroscopy: A reviewKechen Shu, Shitong Mao, Zhenwei Zhang, et al.
Future Generations Computer Systems : FGCS|October 26, 2020
Estimation of laryngeal closure duration during swallowing without invasive X-raysShitong Mao, Aliaa Sabry, Yassin Khalifa, et al.
Dysphagia|September 5, 2020
A Preliminary Investigation of Whether HRCA Signals Can Differentiate Between Swallows from Healthy People and Swallows from People with Neurodegenerative DiseasesCara Donohue, Yassin Khalifa, Subashan Perera, et al.
Dysphagia|September 19, 2021
Characterizing Effortful Swallows from Healthy Community Dwelling Adults Across the Lifespan Using High-Resolution Cervical Auscultation Signals and MBSImP Scores: A Preliminary StudyCara Donohue, Yassin Khalifa, Subashan Perera, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Towards Non-Invasive Swallowing Assessment: an AI-Powered Interface for Swallowing Kinematic Analysis using High-Resolution Cervical AuscultationYuewen Luo, Ayman Anwar, Siyi Ren, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Swallowing Assessment using High-Resolution Cervical Auscultations and Transformer-based Neural NetworksAyman Anwar, Yassin Khalifa, Erin Lucatorto, et al.
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