Yassin Khalifa

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Recurrent Neural Networks

Quantitative Measurements

High Resolution

Confocal Images

Top Venues

IEEE J. Biomed. Health Informatics

Artif. Intell. Medicine

Publications

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 (2024)
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) (2023)
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)
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) (2021)
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 (2021)
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 (2021)
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 (2020)
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 (2020)
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 (2019)
Caroline Yu, Yassin Khalifa, Ervin Sejdic
Silent Aspiration Detection in High Resolution Cervical Auscultations. BHI (2019)
Yassin Khalifa, Zhenwei Zhang, Ervin Sejdic
Sparse recovery of time-frequency representations via recurrent neural networks. DSP (2017)