BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: He Q, Perera S, Khalifa Y, Zhang Z, Mahoney AS, Sabry A, Donohue C, Coyle JL, Sejdic E. The Association of High Resolution Cervical Auscultation Signal Features With Hyoid Bone Displacement During Swallowing. IEEE Trans Neural Syst Rehabil Eng 2019;27:1810-6. [PMID: 31443032 DOI: 10.1109/TNSRE.2019.2935302] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 4.3] [Reference Citation Analysis]
Number Citing Articles
1 Frakking TT, Chang AB, Carty C, Newing J, Weir KA, Schwerin B, So S. Using an Automated Speech Recognition Approach to Differentiate Between Normal and Aspirating Swallowing Sounds Recorded from Digital Cervical Auscultation in Children. Dysphagia. [DOI: 10.1007/s00455-022-10410-y] [Reference Citation Analysis]
2 Zhang Z, Mao S, Coyle J, Sejdić E. Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning. Med Image Anal 2021;74:102218. [PMID: 34487983 DOI: 10.1016/j.media.2021.102218] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
3 Rahmani MH, Berkvens R, Weyn M. Chest-Worn Inertial Sensors: A Survey of Applications and Methods. Sensors (Basel) 2021;21:2875. [PMID: 33921900 DOI: 10.3390/s21082875] [Cited by in Crossref: 2] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
4 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]
5 Sabry A, Mahoney AS, Mao S, Khalifa Y, Sejdić E, Coyle JL. Automatic Estimation of Laryngeal Vestibule Closure Duration Using High-Resolution Cervical Auscultation Signals. Perspect ASHA SIGs 2020;5:1647-56. [DOI: 10.1044/2020_persp-20-00073] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
6 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]
7 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: 6] [Article Influence: 2.5] [Reference Citation Analysis]
8 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]
9 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]
10 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: 9] [Article Influence: 2.0] [Reference Citation Analysis]
11 Fujinaka A, Mekata K, Takizawa H, Kudo H. Segmentation of cervical intervertebral disks in videofluorography by CNN, multi-channelization and feature selection. Int J Comput Assist Radiol Surg 2020;15:901-8. [PMID: 32306186 DOI: 10.1007/s11548-020-02145-8] [Reference Citation Analysis]