James L. Coyle

27 papers Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Non-invasive integrated swallowing kinematic analysis framework leveraging transformer-based multi-task neural networks. Comput. Biol. Medicine Ayman Anwar, Yassin Khalifa, Erin Lucatorto, James L. Coyle, Ervin Sejdic
2025	J	`jnl`	Novel Videographic-Free Framework for Tracking Anatomical Structures Using Swallowing Accelerometer Signals and Multi-task Transformers. J. Heal. Informatics Res. Ayman Anwar, Wuqi Li, Amanda S. Mahoney, Yassin Khalifa, James L. Coyle, Ervin Sejdic
2025	J	`jnl`	Recent advancements and future directions in automatic swallowing analysis via videofluoroscopy: A review. Comput. Methods Programs Biomed. Kechen Shu, Shitong Mao, Zhenwei Zhang, James L. Coyle, Ervin Sejdic
2025	J	`jnl`	Transformers in biosignal analysis: A review. Inf. Fusion Ayman Anwar, Yassin Khalifa, James L. Coyle, Ervin Sejdic
2025	J	`jnl`	Unsupervised Segmentation of Bolus and Residue in Videofluoroscopy Swallowing Studies. J. Imaging Farnaz Khodami, Mehdy Dousty, James L. Coyle, Ervin Sejdic
2024	J	`jnl`	Automatic Tracking of Hyoid Bone Displacement and Rotation Relative to Cervical Vertebrae in Videofluoroscopic Swallow Studies Using Deep Learning. J. Imaging Inform. Medicine Wuqi Li, Shitong Mao, Amanda S. Mahoney, James L. Coyle, Ervin Sejdic
2024	J	`jnl`	Deep learning models for bolus segmentation in videofluoroscopic swallow studies. J. Real Time Image Process. Wuqi Li, Shitong Mao, Amanda S. Mahoney, Sandra Petkovic, James L. Coyle, Ervin Sejdic
2024	—	`conf`	Swallowing Assessment using High-Resolution Cervical Auscultations and Transformer-based Neural Networks. EMBC Ayman Anwar, Yassin Khalifa, Erin Lucatorto, James L. Coyle, Ervin Sejdic
2024	—	`conf`	Towards Non-Invasive Swallowing Assessment: an AI-Powered Interface for Swallowing Kinematic Analysis using High-Resolution Cervical Auscultation. EMBC Yuewen Luo, Ayman Anwar, Siyi Ren, James L. Coyle, Ervin Sejdic
2024	J	`jnl`	Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation. Artif. Intell. Medicine Ayman Anwar, Yassin Khalifa, Erin Lucatorto, James L. Coyle, Ervin Sejdic
2023	J	`jnl`	Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia. IEEE J. Biomed. Health Informatics Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic
2022	J	`jnl`	Improving Non-Invasive Aspiration Detection With Auxiliary Classifier Wasserstein Generative Adversarial Networks. IEEE J. Biomed. Health Informatics Kechen Shu, Shitong Mao, James L. Coyle, Ervin Sejdic
2021	J	`jnl`	Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning. Medical Image Anal. Zhenwei Zhang, Shitong Mao, James L. Coyle, Ervin Sejdic
2021	J	`jnl`	Estimation of laryngeal closure duration during swallowing without invasive X-rays. Future Gener. Comput. Syst. Shitong Mao, Aliaa Sabry, Yassin Khalifa, James L. Coyle, Ervin Sejdic
2021	J	`jnl`	Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation. IEEE J. Biomed. Health Informatics Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic
2020	—	`conf`	Automated Bolus Detection in Videofluoroscopic Images of Swallowing Using Mask-RCNN. EMBC Handenur Caliskan, Amanda S. Mahoney, James L. Coyle, Ervin Sejdic
2020	J	`jnl`	Upper Esophageal Sphincter Opening Segmentation with Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation. CoRR Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic
2019	J	`jnl`	Computational Deglutition: Using Signal- and Image-Processing Methods to Understand Swallowing and Associated Disorders [Life Sciences]. IEEE Signal Process. Mag. Ervin Sejdic, Georgia A. Malandraki, James L. Coyle
2018	J	`jnl`	Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks. IEEE J. Biomed. Health Informatics Faezeh Movahedi, James L. Coyle, Ervin Sejdic
2018	J	`jnl`	Deep learning for classification of normal swallows in adults. Neurocomputing Joshua M. Dudik, James L. Coyle, Amro El-Jaroudi, Zhi-Hong Mao, Mingui Sun, Ervin Sejdic
2017	J	`jnl`	A comparison between swallowing sounds and vibrations in patients with dysphagia. Comput. Methods Programs Biomed. Faezeh Movahedi, Atsuko Kurosu, James L. Coyle, Subashan Perera, Ervin Sejdic
2017	J	`jnl`	A fast algorithm for vertex-frequency representations of signals on graphs. Signal Process. Iva Jestrovic, James L. Coyle, Ervin Sejdic
2016	J	`jnl`	A matched dual-tree wavelet denoising for tri-axial swallowing vibrations. Biomed. Signal Process. Control. Joshua M. Dudik, James L. Coyle, Amro El-Jaroudi, Mingui Sun, Ervin Sejdic
2015	J	`jnl`	A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals. Comput. Biol. Medicine Joshua M. Dudik, Atsuko Kurosu, James L. Coyle, Ervin Sejdic
2015	J	`jnl`	Characteristics of Dry Chin-Tuck Swallowing Vibrations and Sounds. IEEE Trans. Biomed. Eng. Joshua M. Dudik, Iva Jestrovic, Bo Luan, James L. Coyle, Ervin Sejdic
2015	J	`jnl`	Dysphagia Screening: Contributions of Cervical Auscultation Signals and Modern Signal-Processing Techniques. IEEE Trans. Hum. Mach. Syst. Joshua M. Dudik, James L. Coyle, Ervin Sejdic
2013	J	`jnl`	Baseline characteristics of cervical auscultation signals during various head maneuvers. Comput. Biol. Medicine Iva Jestrovic, Joshua M. Dudik, Bo Luan, James L. Coyle, Ervin Sejdic