12 Publications by "T. Lever"


#353: T. E. Lever, A. M. Kloepper, I. Deninger, A. Hamad, B. L. Hopewell, A. K. Ovaitt, M. Szewczyk, F. Bunyak, B. Zitsch, B. Blake, and others

Advancing laryngeal adductor reflex testing beyond sensory threshold detection

Dysphagia, pgs. 1--21, 2021

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#346: Y. Y. Wang, K. Gao, A. Hamad, B. McCarthy, A. M. Kloepper, T. E. Lever, and F. Bunyak

Multi-Modal and Multi-Scale Oral Diadochokinesis Analysis using Deep Learning

5OTH ANNUAL APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, 2021

oral diadochokinesis, syllable detection, mouth/jaw motion, deep learning

Abstract, Bibtex, PlainText, PDF, Google Scholar
#330: Y. Y. Wang, A. S. Hamad, T. E. Lever, and F. Bunyak

Orthogonal Region Selection Network for Laryngeal Closure Detection in Laryngoscopy Videos

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pgs. 2167-2172, 2020

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#328: L. Welby, H. Caudill, G. Yitsege, A. Hamad, F. Bunyak, I. E. Zohn, T. Maynard, A.-S. LaMantia, D. Mendelowitz, and T. E. Lever

Persistent feeding and swallowing deficits in a mouse model of 22q11. 2 deletion syndrome

Frontiers in Neurology, pgs. 4, 2020

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#327: M. M. Haney, A. Hamad, H. G. Woldu, M. Ciucci, N. Nichols, F. Bunyak, and T. E. Lever

Recurrent laryngeal nerve transection in mice results in translational upper airway dysfunction

Journal of Comparative Neurology, Volume 528, pgs. 574--596, 2020

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#317: A. S. Hamad, Y. Y. Wang, T. E. Lever, and F. Bunyak

Ensemble of deep cascades for detection of laryngeal adductor reflex events in Endoscopy Videos

IEEE International Conference on Image Processing (ICIP), pgs. 300-304, 2020

deep learning, laryngeal adductor reflex, automated detection, endoscopy video analysis

Abstract, Bibtex, PlainText, DOI, Google Scholar
#305: G. Yolcu, I. Oztel, S. Kazan, C. Oz, K. Palaniappan, T. E. Lever, and F. Bunyak

Facial expression recognition for monitoring neurological disorders based on convolutional neural network

Multimedia Tools and Applications, Volume 78, pgs. 31581-31603, 2019

facial component segmentation, facial expression recognition, convolutional neural network, deep learning

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#300: M. M. Haney, A. Hamad, E. Leary, F. Bunyak, and T. E. Lever

Automated quantification of vocal fold motion in a recurrent laryngeal nerve injury mouse model

The Laryngoscope, Volume 129, pgs. E247--E254, 2019

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#298: A. Hamad, M. Haney, T. E. Lever, and F. Bunyak

Automated segmentation of the vocal folds in laryngeal endoscopy videos using deep convolutional regression networks

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pgs. 140--148, 2019

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#297: Y. Y. Wang, K. Gao, A. M. Kloepper, Y. Zhao, M. Kuruvilla-Dugdale, T. E. Lever, and F. Bunyak

DeepDDK: A deep learning based oral-diadochokinesis analysis software

IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), pgs. 1--4, 2019

diadochokinesis analysis, speech signal analysis, deep learning, event detection, event localization

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#289: F. Bunyak, N. Shiraishi, K. Palaniappan, T. E. Lever, L. Avivi-Arber, and K. Takahashi

Development of semi-automatic procedure for detection and tracking of fiducial markers for orofacial kinematics during natural feeding

In Engineering in Medicine and Biology Society (EMBC), pgs. 580-583, 2018

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#261: G. Yolcu, I. Oztel, S. Kazan, C. Oz, K. Palaniappan, T. Lever, and F. Bunyak

Deep learning-based facial expression recognition for monitoring neurological disorders

EEE International Conference on Bioinformatics and Biomedicine (BIBM) , pgs. 1652-1657, 2017

convolutional neural networks, deep learning, facial component segmentation, facial expression recognition

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