10 citations · 10 across the 9 of their papers we have counts for
3 papers · 1 filter
Laryngeal Structure Segmentation in High-Speed Videoendoscopy Using Deep Learning
Sardar Nafis Bin Ali, Mohsen Zayernouri, Dimitar D. Deliyski +1
Laryngeal high-speed videoendoscopy (HSV) offers an effective means of observing the motion of different laryngeal structures along with vibratory behaviors of the vocal folds unde…
An Optimal Contact-Mechanically Consistent and Flow-Separation Adapted Modeling of Vocal Fold Dynamics
Sardar Nafis Bin Ali, Maryam Naghibolhosseini, Mohsen Zayernouri
Single mass-spring-damper models of vocal folds have been effective in simulating vocal fold vibrations without added complexity. However, single-degree-of-freedom models cannot su…
AI-Driven Lumped-Element Modeling of Human Respiratory System for Studying Voice Mechanics
Maruf Md Ikram, Maryam Naghibolhosseini, Mohsen Zayernouri
A predictive physics-based model of human respiratory, phonatory, and articulatory subsystems is developed to simulate voice production. Representing lungs, compressible airways, a…