Re-Training of Convolutional Neural Networks for Glottis Segmentation in Endoscopic High-Speed Videos

A Deep Learning Approach for Quantifying Vocal Fold Dynamics During Connected Speech Using Laryngeal High-Speed Videoendoscopy

(2022) Ahmed M. Yousef et al.   JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH

Analysis of Laryngeal High-Speed Videoendoscopy recordings – ROI detection

(2022) Tomáš Ettler et al.   Biomedical Signal Processing and Control

Fluid-structure-acoustic interactions in an ex vivo porcine phonation model

(2021) Marion Semmler et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

3D-FV-FE Aeroacoustic Larynx Model for Investigation of Functional Based Voice Disorders

(2021) Sebastian Falk et al.   Frontiers in Physiology

A Hybrid Machine-Learning-Based Method for Analytic Representation of the Vocal Fold Edges during Connected Speech

(2021) Ahmed M. Yousef et al.   Applied Sciences-Basel

A Deep Learning Enhanced Novel Software Tool for Laryngeal Dynamics Analysis

(2021) Andreas M. Kist et al.   JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH

OpenHSV: an open platform for laryngeal high-speed videoendoscopy

(2021) Andreas M. Kist et al.   Scientific Reports

Multivariate Analysis of Vocal Fold Vibrations on Various Voice Disorders Using High-Speed Digital Imaging

(2021) Akihito Yamauchi et al.   Applied Sciences-Basel

Applications of Artificial Intelligence to Office Laryngoscopy: A Scoping Review

(2021) Peter Yao et al.   LARYNGOSCOPE

Fully automatic segmentation of glottis and vocal folds in endoscopic laryngeal high-speed videos using a deep Convolutional LSTM Network

(2020) Mona Kirstin Fehling et al.   PLoS One

Medical Image Segmentation based on U-Net: A Review

(2020) Getao Du et al.   JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY

BAGLS, a multihospital Benchmark for Automatic Glottis Segmentation

(2020) Pablo Gómez et al.   Scientific Data

Glottal Airflow and Glottal Area Waveform Characteristics of Flow Phonation in Untrained Vocally Healthy Adults

(2020) Rita R. Patel et al.   JOURNAL OF VOICE

Rethinking glottal midline detection

(2020) Andreas M. Kist et al.   Scientific Reports

Impact of Subharmonic and Aperiodic Laryngeal Dynamics on the Phonatory Process Analyzed in Ex Vivo Rabbit Models

(2019) Thornton et al.   Applied Sciences-Basel

Continuous learning in single-incremental-task scenarios

(2019) Davide Maltoni et al.   NEURAL NETWORKS

Intersegmenter Variability in High‐Speed Laryngoscopy‐Based Glottal Area Waveform Measures

(2019) Youri Maryn et al.   LARYNGOSCOPE

Quantification and Analysis of Laryngeal Closure from Endoscopic Videos

(2018) Jianyu Lin et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Influence of Analyzed Sequence Length on Parameters in Laryngeal High-Speed Videoendoscopy

(2018) Patrick Schlegel et al.   Applied Sciences-Basel

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

3D Reconstruction of Human Laryngeal Dynamics Based on Endoscopic High-Speed Recordings

(2016) Marion Semmler et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An automatic method to detect and track the glottal gap from high speed videoendoscopic images

(2015) Gustavo Andrade-Miranda et al.   Biomedical Engineering Online

Characterizing Vibratory Kinematics in Children and Adults With High-Speed Digital Imaging

(2014) Rita Patel et al.   JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH

Vocal fold vibrations at high soprano fundamental frequencies

(2013) Matthias Echternach et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Efficient and Effective Extraction of Vocal Fold Vibratory Patterns from High-Speed Digital Imaging

(2008) Yu Zhang et al.   JOURNAL OF VOICE