Anne Schutzenberger
Department Of Otorhinolaryngology Head & Neck Surgery
Erlangen, BY, Germany
Erlangen, BY, Germany
Last Updated: 09/26/2026
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Found 43 publications
Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy.
Journal: Frontiers in artificial intelligence
Published: March 28, 2025
Predicting semantic segmentation quality in laryngeal endoscopy images.
Journal: PloS one
Published: November 08, 2024
Machine Learning-Based Estimation of Hoarseness Severity Using Acoustic Signals Recorded During High-Speed Videoendoscopy.
Journal: Journal of voice : official journal of the Voice Foundation
Published: October 23, 2024
Influence of flow rate and fiber tension on dynamical, mechanical and acoustical parameters in a synthetic larynx model with integrated fibers.
Journal: Frontiers in physiology
Published: July 12, 2024
The Effects of a "New Generation" of Heat and Moisture Exchangers in Laryngectomized Patients with Previous Heat and Moisture Changer Experience.
Journal: Ear, nose, & throat journal
Published: September 30, 2023
Re-Training of Convolutional Neural Networks for Glottis Segmentation in Endoscopic High-Speed Videos.
Journal: Applied sciences (Basel, Switzerland)
Published: August 16, 2023
Machine learning based estimation of hoarseness severity using sustained vowelsa).
Journal: The Journal of the Acoustical Society of America
Published: August 08, 2023
Extent and Effect of Covering Laryngeal Structures with Synthetic Laryngeal Mucus via Two Different Administration Techniques.
Journal: Journal of voice : official journal of the Voice Foundation
Published: June 06, 2023
Mechanical Parameters Based on High-Speed Videoendoscopy of the Vocal Folds in Patients With Ectodermal Dysplasia.
Journal: Journal of voice : official journal of the Voice Foundation
Published: January 11, 2023
Nyquist Plot Parametrization for Quantitative Analysis of Vibration of the Vocal Folds.
Journal: Journal of voice : official journal of the Voice Foundation
Published: December 13, 2022
GlottisNetV2: Temporal Glottal Midline Detection Using Deep Convolutional Neural Networks.
Journal: IEEE journal of translational engineering in health and medicine
Published: August 01, 2022
Last Updated: 09/26/2026