James L. Coyle

Orcid: 0000-0002-5627-5623

According to our database1, James L. Coyle authored at least 20 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Transformers in biosignal analysis: A review.
Inf. Fusion, 2025

Recent advancements and future directions in automatic swallowing analysis via videofluoroscopy: A review.
Comput. Methods Programs Biomed., 2025

2024
Deep learning models for bolus segmentation in videofluoroscopic swallow studies.
J. Real Time Image Process., February, 2024

Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation.
Artif. Intell. Medicine, 2024

2023
Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia.
IEEE J. Biomed. Health Informatics, February, 2023

2022
Improving Non-Invasive Aspiration Detection With Auxiliary Classifier Wasserstein Generative Adversarial Networks.
IEEE J. Biomed. Health Informatics, 2022

2021
Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation.
IEEE J. Biomed. Health Informatics, 2021

Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning.
Medical Image Anal., 2021

Estimation of laryngeal closure duration during swallowing without invasive X-rays.
Future Gener. Comput. Syst., 2021

2020
Automated Bolus Detection in Videofluoroscopic Images of Swallowing Using Mask-RCNN.
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].
IEEE Signal Process. Mag., 2019

2018
Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks.
IEEE J. Biomed. Health Informatics, 2018

Deep learning for classification of normal swallows in adults.
Neurocomputing, 2018

2017
A fast algorithm for vertex-frequency representations of signals on graphs.
Signal Process., 2017

A comparison between swallowing sounds and vibrations in patients with dysphagia.
Comput. Methods Programs Biomed., 2017

2016
A matched dual-tree wavelet denoising for tri-axial swallowing vibrations.
Biomed. Signal Process. Control., 2016

2015
Dysphagia Screening: Contributions of Cervical Auscultation Signals and Modern Signal-Processing Techniques.
IEEE Trans. Hum. Mach. Syst., 2015

Characteristics of Dry Chin-Tuck Swallowing Vibrations and Sounds.
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.
Comput. Biol. Medicine, 2015

2013
Baseline characteristics of cervical auscultation signals during various head maneuvers.
Comput. Biol. Medicine, 2013


  Loading...