Yassin Khalifa

According to our database, Yassin Khalifa authored at least 10 papers between 2017 and 2025.

Collaborative distances:

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

2025

Transformers in biosignal analysis: A review.

Ayman Anwar, Yassin Khalifa, James L. Coyle, Ervin Sejdic

Inf. Fusion, 2025

2024

Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation.

Ayman Anwar, Yassin Khalifa, Erin Lucatorto, James L. Coyle, Ervin Sejdic

Artif. Intell. Medicine, 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

AI-Powered Toolkit for Automated Swallowing Kinematics Analysis in X-Ray Videofluoroscopy.

Mohamed A. Abdelaziz, Mohamed K. Galloul, Mohamed A. Seyam, Ahmed M. Mohamed, Tamer Basha, Ervin Sejdic, Yassin Khalifa

Proceedings of the 4th Novel Intelligent and Leading Emerging Sciences Conference, 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

A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals.

Yassin Khalifa, Danilo P. Mandic, Ervin Sejdic

Inf. Fusion, 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

2019

Single neuron-based neural networks are as efficient as dense deep neural networks in binary and multi-class recognition problems.

Yassin Khalifa, Justin Hawks, Ervin Sejdic

CoRR, 2019

Silent Aspiration Detection in High Resolution Cervical Auscultations.

Caroline Yu, Yassin Khalifa, Ervin Sejdic

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2017

Sparse recovery of time-frequency representations via recurrent neural networks.

Yassin Khalifa, Zhenwei Zhang, Ervin Sejdic

Proceedings of the 22nd International Conference on Digital Signal Processing, 2017