Yassin Khalifa

15 papers Journal 11Unranked 4
YearRankTypeTitle / 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
Transformers in biosignal analysis: A review.
Inf. Fusion
Ayman Anwar, Yassin Khalifa, 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 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 — conf
AI-Powered Toolkit for Automated Swallowing Kinematics Analysis in X-Ray Videofluoroscopy.
NILES
Mohamed A. Abdelaziz, Mohamed K. Galloul, Mohamed A. Seyam, Ahmed M. Mohamed, Tamer Basha, Ervin Sejdic, Yassin Khalifa
2021 J jnl
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals.
Inf. Fusion
Yassin Khalifa, Danilo P. Mandic, 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 J jnl
A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals.
CoRR
Yassin Khalifa, Danilo P. Mandic, 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 — conf
Silent Aspiration Detection in High Resolution Cervical Auscultations.
BHI
Caroline Yu, Yassin Khalifa, Ervin Sejdic
2019 J jnl
Single neuron-based neural networks are as efficient as dense deep neural networks in binary and multi-class recognition problems.
CoRR
Yassin Khalifa, Justin Hawks, Ervin Sejdic
2017 — conf
Sparse recovery of time-frequency representations via recurrent neural networks.
DSP
Yassin Khalifa, Zhenwei Zhang, Ervin Sejdic