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Cited by in F6Publishing
For: Mao S, Zhang Z, Khalifa Y, Donohue C, Coyle JL, Sejdic E. Neck sensor-supported hyoid bone movement tracking during swallowing. R Soc Open Sci 2019;6:181982. [PMID: 31417694 DOI: 10.1098/rsos.181982] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Wei KC, Cheng SH, Hsiao MY, Wang YC, Weng CH, Chen JY, Wang TG. Swallowing kinematic analysis might be helpful in predicting aspiration and pyriform sinus stasis. Sci Rep 2022;12:1354. [PMID: 35079109 DOI: 10.1038/s41598-022-05441-2] [Reference Citation Analysis]
2 Kumar KVR, Elias S. Real-Time Tracking of Human Neck Postures and Movements. Healthcare (Basel) 2021;9:1755. [PMID: 34946481 DOI: 10.3390/healthcare9121755] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
3 Donohue C, Khalifa Y, Perera S, Sejdić E, Coyle JL. Characterizing Effortful Swallows from Healthy Community Dwelling Adults Across the Lifespan Using High-Resolution Cervical Auscultation Signals and MBSImP Scores: A Preliminary Study. Dysphagia 2021. [PMID: 34537905 DOI: 10.1007/s00455-021-10368-3] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Donohue C, Khalifa Y, Mao S, Perera S, Sejdić E, Coyle JL. Characterizing Swallows From People With Neurodegenerative Diseases Using High-Resolution Cervical Auscultation Signals and Temporal and Spatial Swallow Kinematic Measurements. J Speech Lang Hear Res 2021;64:3416-31. [PMID: 34428093 DOI: 10.1044/2021_JSLHR-21-00134] [Reference Citation Analysis]
5 Donohue C, Khalifa Y, Mao S, Perera S, Sejdić E, Coyle JL. Establishing Reference Values for Temporal Kinematic Swallow Events Across the Lifespan in Healthy Community Dwelling Adults Using High-Resolution Cervical Auscultation. Dysphagia 2021. [PMID: 34018024 DOI: 10.1007/s00455-021-10317-0] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Khalifa Y, Mandic D, Sejdić E. A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals. Information Fusion 2021;69:52-72. [DOI: 10.1016/j.inffus.2020.11.008] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
7 Shu K, Coyle JL, Perera S, Khalifa Y, Sabry A, Sejdić E. Anterior-posterior distension of maximal upper esophageal sphincter opening is correlated with high-resolution cervical auscultation signal features. Physiol Meas 2021;42. [PMID: 33601360 DOI: 10.1088/1361-6579/abe7cb] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 Khalifa Y, Donohue C, Coyle JL, Sejdic E. Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation. IEEE J Biomed Health Inform 2021;25:493-503. [PMID: 32750928 DOI: 10.1109/JBHI.2020.3000057] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 6.0] [Reference Citation Analysis]
9 Mao S, Sabry A, Khalifa Y, Coyle JL, Sejdic E. Estimation of laryngeal closure duration during swallowing without invasive X-rays. Future Gener Comput Syst 2021;115:610-8. [PMID: 33100445 DOI: 10.1016/j.future.2020.09.040] [Cited by in Crossref: 2] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
10 Donohue C, Khalifa Y, Perera S, Sejdić E, Coyle JL. How Closely do Machine Ratings of Duration of UES Opening During Videofluoroscopy Approximate Clinician Ratings Using Temporal Kinematic Analyses and the MBSImP? Dysphagia 2021;36:707-18. [PMID: 32955619 DOI: 10.1007/s00455-020-10191-2] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
11 Donohue C, Khalifa Y, Perera S, Sejdić E, Coyle JL. A Preliminary Investigation of Whether HRCA Signals Can Differentiate Between Swallows from Healthy People and Swallows from People with Neurodegenerative Diseases. Dysphagia 2021;36:635-43. [PMID: 32889627 DOI: 10.1007/s00455-020-10177-0] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
12 SejdiĆ E, Khalifa Y, Mahoney AS, Coyle JL. ARTIFICIAL INTELLIGENCE AND DYSPHAGIA: NOVEL SOLUTIONS TO OLD PROBLEMS. Arq Gastroenterol 2020;57:343-6. [PMID: 33331470 DOI: 10.1590/S0004-2803.202000000-66] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
13 Coyle JL, Sejdić E. High-Resolution Cervical Auscultation and Data Science: New Tools to Address an Old Problem. Am J Speech Lang Pathol 2020;29:992-1000. [PMID: 32650655 DOI: 10.1044/2020_AJSLP-19-00155] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
14 Donohue C, Mao S, Sejdić E, Coyle JL. Tracking Hyoid Bone Displacement During Swallowing Without Videofluoroscopy Using Machine Learning of Vibratory Signals. Dysphagia 2021;36:259-69. [PMID: 32419103 DOI: 10.1007/s00455-020-10124-z] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]