Research graph
References from Real‐Time Classification of Functional Laryngeal Behaviors From Vocal Fold Kinematics. Local targets link to admitted publications; unresolved targets remain external evidence.
Diagnostic Accuracy of History, Laryngoscopy, and Stroboscopy
10.1002/lary.23630 · 2013 · External reference
Accuracy, Intra‐and Inter‐Rater Reliability of Three Scoring Systems for the Glottic View at Videolaryngoscopy
10.1111/anae.13837 · 2017 · External reference
OpenHSV: An Open Platform for Laryngeal High‐Speed Videoendoscopy
10.1038/s41598-021-93149-0 · 2021 · External reference
A Deep Learning Enhanced Novel Software Tool for Laryngeal Dynamics Analysis
10.1044/2021_jslhr-20-00498 · 2021 · External reference
A Deep Learning Approach for Quantifying Vocal Fold Dynamics During Connected Speech Using Laryngeal High‐Speed Videoendoscopy
10.1044/2022_jslhr-21-00540 · 2022 · External reference
Fully Automatic Segmentation of Glottis and Vocal Folds in Endoscopic Laryngeal High‐Speed Videos Using a Deep Convolutional LSTM Network
10.1371/journal.pone.0227791 · 2020 · External reference
Prediction of the Location of the Glottis in Laryngeal Images by Using a Novel Deep‐Learning Algorithm
10.1109/access.2019.2923002 · 2019 · External reference
Computer‐Aided Diagnosis of Laryngeal Cancer via Deep Learning Based on Laryngoscopic Images
10.1016/j.ebiom.2019.08.075 · 2019 · External reference
An Open‐Source Computer Vision Tool for Automated Vocal Fold Tracking From Videoendoscopy
10.1002/lary.28669 · 2021 · External reference
Predictive Outcomes of Deep Learning Measurement of the Anterior Glottic Angle in Bilateral Vocal Fold Immobility
10.1002/lary.30473 · 2023 · External reference
Feasibility of Real‐Time Automated Vocal Fold Motion Tracking for In‐Office Laryngoscopy
10.1002/lary.70104 · 2025 · External reference
Application of a Computer Vision Tool for Automated Glottic Tracking to Vocal Fold Paralysis Patients
10.1177/0194599821989608 · 2021 · External reference
Using Recurrent Neural Network Models for Early Detection of Heart Failure Onset
10.1093/jamia/ocw112 · 2017 · External reference
Recurrent Neural Networks for Multivariate Time Series With Missing Values
10.1038/s41598-018-24271-9 · 2018 · External reference
Unresolved reference
2016 · External reference
Unresolved reference
2019 · External reference
DeepLabCut: Markerless Pose Estimation of User‐Defined Body Parts With Deep Learning
10.1038/s41593-018-0209-y · 2018 · External reference
Unresolved reference
External reference
10.3115/v1/d14-1179
10.3115/v1/d14-1179 · External reference
Unresolved reference
External reference
Residual‐Time Gated Recurrent Unit
10.1016/j.neucom.2025.129396 · 2025 · External reference
Dropout: A Simple Way to Prevent Neural Networks From Overfitting
2014 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
2015 · External reference
Unresolved reference
2016 · External reference
Diagnostic Accuracy of History, Laryngoscopy, and Stroboscopy
10.1002/lary.23630 · ExternalCitation · doi-reference
An Open‐Source Computer Vision Tool for Automated Vocal Fold Tracking From Videoendoscopy
10.1002/lary.28669 · ExternalCitation · doi-reference
Predictive Outcomes of Deep Learning Measurement of the Anterior Glottic Angle in Bilateral Vocal Fold Immobility
10.1002/lary.30473 · ExternalCitation · doi-reference
Feasibility of Real‐Time Automated Vocal Fold Motion Tracking for In‐Office Laryngoscopy
10.1002/lary.70104 · ExternalCitation · doi-reference
Computer‐Aided Diagnosis of Laryngeal Cancer via Deep Learning Based on Laryngoscopic Images
10.1016/j.ebiom.2019.08.075 · ExternalCitation · doi-reference
Residual‐Time Gated Recurrent Unit
10.1016/j.neucom.2025.129396 · ExternalCitation · doi-reference
DeepLabCut: Markerless Pose Estimation of User‐Defined Body Parts With Deep Learning
10.1038/s41593-018-0209-y · ExternalCitation · doi-reference
Recurrent Neural Networks for Multivariate Time Series With Missing Values
10.1038/s41598-018-24271-9 · ExternalCitation · doi-reference
OpenHSV: An Open Platform for Laryngeal High‐Speed Videoendoscopy
10.1038/s41598-021-93149-0 · ExternalCitation · doi-reference
A Deep Learning Enhanced Novel Software Tool for Laryngeal Dynamics Analysis
10.1044/2021_jslhr-20-00498 · ExternalCitation · doi-reference
A Deep Learning Approach for Quantifying Vocal Fold Dynamics During Connected Speech Using Laryngeal High‐Speed Videoendoscopy
10.1044/2022_jslhr-21-00540 · ExternalCitation · doi-reference
Using Recurrent Neural Network Models for Early Detection of Heart Failure Onset
10.1093/jamia/ocw112 · ExternalCitation · doi-reference
Prediction of the Location of the Glottis in Laryngeal Images by Using a Novel Deep‐Learning Algorithm
10.1109/access.2019.2923002 · ExternalCitation · doi-reference
Accuracy, Intra‐and Inter‐Rater Reliability of Three Scoring Systems for the Glottic View at Videolaryngoscopy
10.1111/anae.13837 · ExternalCitation · doi-reference
Application of a Computer Vision Tool for Automated Glottic Tracking to Vocal Fold Paralysis Patients
10.1177/0194599821989608 · ExternalCitation · doi-reference
Fully Automatic Segmentation of Glottis and Vocal Folds in Endoscopic Laryngeal High‐Speed Videos Using a Deep Convolutional LSTM Network
10.1371/journal.pone.0227791 · ExternalCitation · doi-reference
10.3115/v1/d14-1179
10.3115/v1/d14-1179 · ExternalCitation · doi-reference
