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American Journal of Speech-Language Pathology
|
July 12, 2020
High-Resolution Cervical Auscultation and Data Science: New Tools to Address an Old Problem
James L Coyle, Ervin Sejdić
American Journal of Speech-Language Pathology
|
June 25, 2020
How Important Is Randomization of Swallows During Kinematic Analyses of Swallow Function?
Cara Donohue, James L Coyle
Signal Processing
|
May 9, 2017
A fast algorithm for vertex-frequency representations of signals on graphs
Iva Jestrović, James L Coyle, Ervin Sejdić
Scientific Reports
|
May 28, 2020
Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings
Yassin Khalifa, James L Coyle, Ervin Sejdić
Journal of Neural Engineering
|
September 16, 2015
Decoding human swallowing via electroencephalography: a state-of-the-art review
Iva Jestrović, James L Coyle, Ervin Sejdić
IEEE Journal of Biomedical and Health Informatics
|
July 18, 2017
Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks
Faezeh Movahedi, James L Coyle, Ervin Sejdic
Neuroscience
|
December 20, 2016
Differences in brain networks during consecutive swallows detected using an optimized vertex-frequency algorithm
Iva Jestrović, James L Coyle, Ervin Sejdić
Journal of Neuroengineering and Rehabilitation
|
July 25, 2015
Characterizing functional connectivity patterns during saliva swallows in different head positions
Iva Jestrović, James L Coyle, Ervin Sejdić
Scientific Reports
|
August 19, 2018
Automatic hyoid bone detection in fluoroscopic images using deep learning
Zhenwei Zhang, James L Coyle, Ervin Sejdić
IEEE Signal Processing Magazine
|
October 22, 2019
Computational deglutition: Signal and image processing methods to understand swallowing and associated disorders
Ervin Sejdić, Georgia A Malandraki, James L Coyle
Page
of 7
Search research articles
Search
Showing results (1-10 of 64) with videos related to
Sort By:
Page
of 7
American Journal of Speech-Language Pathology
|
July 12, 2020
High-Resolution Cervical Auscultation and Data Science: New Tools to Address an Old Problem
James L Coyle, Ervin Sejdić
American Journal of Speech-Language Pathology
|
June 25, 2020
How Important Is Randomization of Swallows During Kinematic Analyses of Swallow Function?
Cara Donohue, James L Coyle
Signal Processing
|
May 9, 2017
A fast algorithm for vertex-frequency representations of signals on graphs
Iva Jestrović, James L Coyle, Ervin Sejdić
Scientific Reports
|
May 28, 2020
Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings
Yassin Khalifa, James L Coyle, Ervin Sejdić
Journal of Neural Engineering
|
September 16, 2015
Decoding human swallowing via electroencephalography: a state-of-the-art review
Iva Jestrović, James L Coyle, Ervin Sejdić
IEEE Journal of Biomedical and Health Informatics
|
July 18, 2017
Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks
Faezeh Movahedi, James L Coyle, Ervin Sejdic
Neuroscience
|
December 20, 2016
Differences in brain networks during consecutive swallows detected using an optimized vertex-frequency algorithm
Iva Jestrović, James L Coyle, Ervin Sejdić
Journal of Neuroengineering and Rehabilitation
|
July 25, 2015
Characterizing functional connectivity patterns during saliva swallows in different head positions
Iva Jestrović, James L Coyle, Ervin Sejdić
Scientific Reports
|
August 19, 2018
Automatic hyoid bone detection in fluoroscopic images using deep learning
Zhenwei Zhang, James L Coyle, Ervin Sejdić
IEEE Signal Processing Magazine
|
October 22, 2019
Computational deglutition: Signal and image processing methods to understand swallowing and associated disorders
Ervin Sejdić, Georgia A Malandraki, James L Coyle
Page
of 7