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Emad M Grais

Showing results (1-10 of 6) with videos related to

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International Archives of Occupational and Environmental Health|January 25, 2021
Contributions and limitations of using machine learning to predict noise-induced hearing lossFeifan Chen, Zuwei Cao, Emad M Grais, et al.
Laryngoscope Investigative Otolaryngology|February 27, 2023
Three-dimensional wideband absorbance immittance findings in young adults with large vestibular aqueduct syndromeLifang Zhang, Jie Wang, Emad M Grais, et al.
The Laryngoscope|July 18, 2022
Machine Learning in Diagnosing Middle Ear Disorders Using Tympanic Membrane Images: A Meta-AnalysisZuwei Cao, Feifan Chen, Emad M Grais, et al.
Scientific Reports|May 21, 2021
Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learningEmad M Grais, Xiaoya Wang, Jie Wang, et al.
International Journal of Audiology|December 5, 2025
Age effect on wideband absorbance in people with normal middle ear function: a systematic reviewFei Zhao, Sandra Chulliparambil Suresh, Eirwen Jones, et al.
BMJ Open|January 22, 2021
Investigating the use of a two-stage attention-aware convolutional neural network for the automated diagnosis of otitis media from tympanic membrane images: a prediction model development and validation studyYuexin Cai, Jin-Gang Yu, Yuebo Chen, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
International Archives of Occupational and Environmental Health|January 25, 2021
Contributions and limitations of using machine learning to predict noise-induced hearing lossFeifan Chen, Zuwei Cao, Emad M Grais, et al.
Laryngoscope Investigative Otolaryngology|February 27, 2023
Three-dimensional wideband absorbance immittance findings in young adults with large vestibular aqueduct syndromeLifang Zhang, Jie Wang, Emad M Grais, et al.
The Laryngoscope|July 18, 2022
Machine Learning in Diagnosing Middle Ear Disorders Using Tympanic Membrane Images: A Meta-AnalysisZuwei Cao, Feifan Chen, Emad M Grais, et al.
Scientific Reports|May 21, 2021
Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learningEmad M Grais, Xiaoya Wang, Jie Wang, et al.
International Journal of Audiology|December 5, 2025
Age effect on wideband absorbance in people with normal middle ear function: a systematic reviewFei Zhao, Sandra Chulliparambil Suresh, Eirwen Jones, et al.
BMJ Open|January 22, 2021
Investigating the use of a two-stage attention-aware convolutional neural network for the automated diagnosis of otitis media from tympanic membrane images: a prediction model development and validation studyYuexin Cai, Jin-Gang Yu, Yuebo Chen, et al.
Pageof 1