Yassin Khalifa

Orcid: 0000-0001-8017-5959

According to our database1, Yassin Khalifa authored at least 11 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
2025
0
1
2
3
4
1
1
1
3
1
1
1
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Transformers in biosignal analysis: A review.
Inf. Fusion, 2025

2024
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation.
Artif. Intell. Medicine, 2024

Swallowing Assessment using High-Resolution Cervical Auscultations and Transformer-based Neural Networks.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia.
IEEE J. Biomed. Health Informatics, February, 2023

2022
AI-Powered Toolkit for Automated Swallowing Kinematics Analysis in X-Ray Videofluoroscopy.
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.
IEEE J. Biomed. Health Informatics, 2021

A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals.
Inf. Fusion, 2021

Estimation of laryngeal closure duration during swallowing without invasive X-rays.
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.
CoRR, 2019

Silent Aspiration Detection in High Resolution Cervical Auscultations.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2017
Sparse recovery of time-frequency representations via recurrent neural networks.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017


  Loading...