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Sara A. Charney

Potential Impact of the COVID‐19 Pandemic on Communication and Language Skills in Children
2020 · Sara A. Charney, Stephen M. Camarata, et al. · Otolaryngology · 97
Patterns of Recovery From Aphasia in the First 2 Weeks After Stroke
2019 · Stephen M. Wilson, Dana K. Eriksson, et al. · Journal of Speech Language and Hearing Research · 33
An Evaluation of Quality, Reliability, and Accuracy of Vocal Health Content on TikTok
2024 · Isaac L. Alter, Sara A. Charney, et al. · Journal of Voice · 14
The Role of Speech-Language Pathologists in Otolaryngology Resident Education
2020 · Yassmeen Abdel-Aty, Sara Charney, et al. · Annals of Otology Rhinology & Laryngology · 6
Dysphagia in Parkinson’s disease patients prior to deep brain stimulation: Is screening accurate?
2021 · Andrew D. Palmer, Sara Charney, et al. · Clinical Neurology and Neurosurgery · 5
Singing Voice Concern in Tertiary Laryngology Practice
2023 · Lauren Lu, Sara Charney, et al. · Journal of Voice · 3
Prediction of Aspiration Risk by Using Vocal Biomarkers: Machine Learning Development and Validation Study
2026 · Cyril Varghese, Jianwei Zhang, et al. · JMIR Formative Research · 1
360 Using machine learning to analyze voice and detect aspiration
2025 · Cyril Varghese, Jianwei Zhang, et al. · Journal of Clinical and Translational Science · 1
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Vocal Effort and Acoustic Analysis of Gargle Phonation Versus Water Swallow in Patients With Muscle Tension Dysphonia: A Clinical Trial
2024 · Diana M Orbelo, Sara A Charney, et al. · Journal of Voice · 1
Landmark-based analysis of speech differentiates conversational from clear speech in speakers with muscle tension dysphonia
2023 · Keiko Ishikawa, Mary Pietrowicz, et al. · JASA Express Letters · 1
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Feasibility of Laryngoscopy & Videostroboscopy Education Modules: Knowledge and Confidence Outcomes
2026 · Sara A. Charney, Stephanie R.C. Zacharias, et al. · Journal of Voice
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Development and Validation of a Machine Learning Model That Uses Voice to Predict Aspiration Risk
2025 · Cyril Varghese, Jianwei Zhang, et al. · medRxiv
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Developing a Machine Learning Algorithm That Analyzes Voice Patterns to Identify Risk of Aspiration
2024 · C. Varghese, J. Zhang, et al.
Developing a Machine-Learning Model for Detecting Intelligibility Differences in Individuals with Voice Disorders: A Feasibility Study
2024 · M. Pietrowicz, D. Orbelo, et al. · Convention of the European Acoustics Association Forum Acusticum
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The Impact of the COVID-19 Pandemic on Children's Speech and Language Development
2022 · Sara A. Charney, Stephen M. Camarata, et al. · Routledge eBooks
Works count: 15
Citation count: 162
H-index: 5
I10-index: 3
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