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, Springer, pages 1--21, 2021.

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.

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), pages 2167-2172, July 2020.

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, Frontiers, pages 4, 2020.

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, Wiley Online Library, volume 528, issue 4, pages 574--596, 2020.

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), pages 300-304, 2020.

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, Springer, volume 78, issue 22, pages 31581-31603, July 2019.

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, Wiley Online Library, volume 129, issue 7, pages E247--E254, 2019.

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), pages 140--148, 2019.

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), pages 1--4, 2019.

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), pages 580-583, July 2018.

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) , pages 1652-1657, November 2017.