Sejdić, Ervin
University of Toronto
12 papers on CoChatORCID 0000-0003-4987-8298
Most cited papers
- Verified
A Review of Recurrent Neural Network-Based Methods in Computational Physiology
Mao, S., & Sejdić, E. (2023) · IEEE Transactions on Neural Networks and Learning Systems
Machine Learning in HealthcareECG Monitoring and Analysis
Cited by 128
- Verified
Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings
Khalifa, Y., Coyle, J. L., & Sejdić, E. (2020) · Scientific Reports
Dysphagia Assessment and ManagementPhonocardiography and Auscultation Techniques
Cited by 82
- Verified
A comparative analysis of swallowing accelerometry and sounds during saliva swallows
Dudik, J. M., Jestrović, I., Luan, B., Coyle, J. L., & Sejdić, E. (2015) · BioMedical Engineering OnLine
Dysphagia Assessment and ManagementVoice and Speech Disorders
Cited by 72
- Verified
Effects of liquid stimuli on dual-axis swallowing accelerometry signals in a healthy population
Lee, J., Sejdić, E., Steele, C. M., & Chau, T. (2010) · BioMedical Engineering OnLine
Dysphagia Assessment and ManagementVoice and Speech Disorders
Cited by 68
- Verified
A statistical analysis of cervical auscultation signals from adults with unsafe airway protection
Dudik, J. M., Kurosu, A., Coyle, J. L., & Sejdić, E. (2016) · Journal of NeuroEngineering and Rehabilitation
Dysphagia Assessment and ManagementVoice and Speech Disorders
Cited by 42
- Verified
A preliminary investigation of whether HRCA signals can differentiate between swallows from healthy people and swallows from people with neurodegenerative diseases
Donohue, C., Khalifa, Y., Perera, S., Sejdić, E., & Coyle, J. L. (2021) · Dysphagia
Dysphagia Assessment and ManagementVoice and Speech Disorders
Cited by 41
- Verified
Quantitative classification of pediatric swallowing through accelerometry
Celeste, M., Azadeh, K., Sejdić, E., Berall, G., & Chau, T. (2012) · Journal of NeuroEngineering and Rehabilitation
Dysphagia Assessment and ManagementVoice and Speech Disorders
Cited by 37
- Verified
High-resolution cervical auscultation and data science: new tools to address an old problem
Coyle, J. L., & Sejdić, E. (2020) · American Journal of Speech-Language Pathology
Dysphagia Assessment and ManagementVoice and Speech Disorders
Cited by 28
- Verified
Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning
Zhang, Z., Mao, S., Coyle, J., & Sejdić, E. (2021) · Medical Image Analysis
Medical Imaging and AnalysisMedical Image Segmentation Techniques
Cited by 18
- Verified
Characterizing swallows from people with neurodegenerative diseases using high-resolution cervical auscultation signals and temporal and spatial swallow kinematic measurements
Donohue, C., Khalifa, Y., Mao, S., Perera, S., Sejdić, E., & Coyle, J. L. (2021) · Journal of Speech, Language, and Hearing Research
Dysphagia Assessment and ManagementVoice and Speech Disorders
Cited by 15
- Verified
Artificial intelligence and dysphagia: novel solutions to old problems
SEJDIĆ, E., KHALIFA, Y., MAHONEY, A. S., & COYLE, J. L. (2020) · Arquivos de Gastroenterologia
Dysphagia Assessment and ManagementArtificial Intelligence in Healthcare and Education
Cited by 15
- Verified
Establishing reference values for temporal kinematic swallow events across the lifespan in healthy community dwelling adults using high-resolution cervical auscultation
Donohue, C., Khalifa, Y., Mao, S., Perera, S., Sejdić, E., & Coyle, J. L. (2022) · Dysphagia
Dysphagia Assessment and ManagementVoice and Speech Disorders
Cited by 12
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