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Eptehal Nashnoush
Eptehal Nashnoush
University of Toronto
Verified email at mail.utoronto.ca - Homepage
Title
Cited by
Cited by
Year
Can Self Reported Symptoms Predict Daily COVID-19 Cases?
P Patwa, V Reddy, R Sukumaran, S TV, E Nashnoush, S Shankar, R Kaur, ...
arXiv preprint arXiv:2105.08321, 2021
62021
Machine-learning assisted swallowing assessment: a deep learning-based quality improvement tool to screen for post-stroke dysphagia
R Saab, A Balachandar, H Mahdi, E Nashnoush, LX Perri, AL Waldron, ...
Frontiers in Neuroscience 17, 1302132, 2023
22023
A High-Performance 3D Imaging Technique Using Simultaneous Azimuth and Elevation Compounding
NA Campbell, N MacMullin, E Nashnoush, R Kiefl, K Latham, C Emery, ...
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2022
12022
Machine-learning Assisted Swallowing Assessment: A Deep Learning-based Quality Improvement Tool to Screen for Post-stroke Dysphagia (S6. 004)
A Balachandar, R Saab, H Mahdi, E Nashnoush, H Khosravani
Neurology 102 (17_supplement_1), 6913, 2024
2024
Tuning In: Analysis of Audio Classifier Performance in Clinical Settings with Limited Data
H Mahdi, E Nashnoush, R Saab, A Balachandar, R Dagli, LX Perri, ...
arXiv preprint arXiv:2402.10100, 2024
2024
Machine-learning assisted swallowing assessment: a deep learning-based quality improvement tool to screen for post-stroke dysphagia
R Saab, A Balachandar, H Mahdi, E Nashnoush, LX Perri, AL Waldron, ...
Frontiers in Neuroscience 17, 1302132, 2023
2023
S1196 Disparities in Performance of the Model for End-Stage Liver Disease Score Across Different Races and Ethnicities
M Mironova, E Nashnoush, IYG Puentes, LA Celi, DJ Stein
Official journal of the American College of Gastroenterology| ACG 116, S555, 2021
2021
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