James L. Coyle

According to our database, James L. Coyle authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep learning models for bolus segmentation in videofluoroscopic swallow studies.

Wuqi Li, Shitong Mao, Amanda S. Mahoney, Sandra Petkovic, James L. Coyle, Ervin Sejdic

J. Real Time Image Process., February, 2024

2023

Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia.

Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic

IEEE J. Biomed. Health Informatics, February, 2023

2022

Improving Non-Invasive Aspiration Detection With Auxiliary Classifier Wasserstein Generative Adversarial Networks.

Kechen Shu, Shitong Mao, James L. Coyle, Ervin Sejdic

IEEE J. Biomed. Health Informatics, 2022

2021

Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation.

Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic

IEEE J. Biomed. Health Informatics, 2021

Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning.

Zhenwei Zhang, Shitong Mao, James L. Coyle, Ervin Sejdic

Medical Image Anal., 2021

Estimation of laryngeal closure duration during swallowing without invasive X-rays.

Shitong Mao, Aliaa Sabry, Yassin Khalifa, James L. Coyle, Ervin Sejdic

Future Gener. Comput. Syst., 2021

2020

Automated Bolus Detection in Videofluoroscopic Images of Swallowing Using Mask-RCNN.

Handenur Caliskan, Amanda S. Mahoney, James L. Coyle, Ervin Sejdic

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Computational Deglutition: Using Signal- and Image-Processing Methods to Understand Swallowing and Associated Disorders [Life Sciences].

Ervin Sejdic, Georgia A. Malandraki, James L. Coyle

IEEE Signal Process. Mag., 2019

2018

Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks.

Faezeh Movahedi, James L. Coyle, Ervin Sejdic

IEEE J. Biomed. Health Informatics, 2018

Deep learning for classification of normal swallows in adults.

Joshua M. Dudik, James L. Coyle, Amro El-Jaroudi, Zhi-Hong Mao, Mingui Sun, Ervin Sejdic

Neurocomputing, 2018

2017

A fast algorithm for vertex-frequency representations of signals on graphs.

Iva Jestrovic, James L. Coyle, Ervin Sejdic

Signal Process., 2017

A comparison between swallowing sounds and vibrations in patients with dysphagia.

Faezeh Movahedi, Atsuko Kurosu, James L. Coyle, Subashan Perera, Ervin Sejdic

Comput. Methods Programs Biomed., 2017

2016

A matched dual-tree wavelet denoising for tri-axial swallowing vibrations.

Joshua M. Dudik, James L. Coyle, Amro El-Jaroudi, Mingui Sun, Ervin Sejdic

Biomed. Signal Process. Control., 2016

2015

Dysphagia Screening: Contributions of Cervical Auscultation Signals and Modern Signal-Processing Techniques.

Joshua M. Dudik, James L. Coyle, Ervin Sejdic

IEEE Trans. Hum. Mach. Syst., 2015

Characteristics of Dry Chin-Tuck Swallowing Vibrations and Sounds.

Joshua M. Dudik, Iva Jestrovic, Bo Luan, James L. Coyle, Ervin Sejdic

IEEE Trans. Biomed. Eng., 2015

A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals.

Joshua M. Dudik, Atsuko Kurosu, James L. Coyle, Ervin Sejdic

Comput. Biol. Medicine, 2015

2013

Baseline characteristics of cervical auscultation signals during various head maneuvers.

Iva Jestrovic, Joshua M. Dudik, Bo Luan, James L. Coyle, Ervin Sejdic

Comput. Biol. Medicine, 2013