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ORCIDYassin Khalifa
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2020 – today
- 2025
[j6]Ayman Anwar, Yassin Khalifa, James L. Coyle, Ervin Sejdic
:
Transformers in biosignal analysis: A review. Inf. Fusion 114: 102697 (2025)- 2024
- [j5]Ayman Anwar, Yassin Khalifa, Erin Lucatorto, James L. Coyle, Ervin Sejdic:
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation. Artif. Intell. Medicine 154: 102921 (2024) - [c4]Ayman Anwar, Yassin Khalifa, Erin Lucatorto, James L. Coyle, Ervin Sejdic:
Swallowing Assessment using High-Resolution Cervical Auscultations and Transformer-based Neural Networks. EMBC 2024: 1-5 - 2023
- [j4]Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic:
Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia. IEEE J. Biomed. Health Informatics 27(2): 956-967 (2023) - 2022
- [c3]Mohamed A. Abdelaziz, Mohamed K. Galloul, Mohamed A. Seyam, Ahmed M. Mohamed, Tamer Basha, Ervin Sejdic, Yassin Khalifa:
AI-Powered Toolkit for Automated Swallowing Kinematics Analysis in X-Ray Videofluoroscopy. NILES 2022: 71-74 - 2021
- [j3]Shitong Mao, Aliaa Sabry, Yassin Khalifa, James L. Coyle, Ervin Sejdic:
Estimation of laryngeal closure duration during swallowing without invasive X-rays. Future Gener. Comput. Syst. 115: 610-618 (2021) - [j2]Yassin Khalifa, Danilo P. Mandic, Ervin Sejdic:
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals. Inf. Fusion 69: 52-72 (2021) - [j1]Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic:
Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation. IEEE J. Biomed. Health Informatics 25(2): 493-503 (2021) - 2020
- [i3]Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic:
Upper Esophageal Sphincter Opening Segmentation with Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation. CoRR abs/2010.04541 (2020) - [i2]Yassin Khalifa, Danilo P. Mandic, Ervin Sejdic:
A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals. CoRR abs/2012.06104 (2020)
2010 – 2019
- 2019
- [c2]Caroline Yu, Yassin Khalifa, Ervin Sejdic:
Silent Aspiration Detection in High Resolution Cervical Auscultations. BHI 2019: 1-4 - [i1]Yassin Khalifa, Justin Hawks, Ervin Sejdic:
Single neuron-based neural networks are as efficient as dense deep neural networks in binary and multi-class recognition problems. CoRR abs/1905.12135 (2019) - 2017
- [c1]Yassin Khalifa, Zhenwei Zhang, Ervin Sejdic:
Sparse recovery of time-frequency representations via recurrent neural networks. DSP 2017: 1-5
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