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Computational Deglutition: Using Signal- and Image-Processing Methods to Understand Swallowing and Associated Disorders Life Sciences., , and . IEEE Signal Process. Mag., 36 (1): 138-146 (2019)Characteristics of Dry Chin-Tuck Swallowing Vibrations and Sounds., , , , and . IEEE Trans. Biomed. Eng., 62 (10): 2456-2464 (2015)A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals., , , and . Comput. Biol. Medicine, (2015)Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks., , and . IEEE J. Biomed. Health Informatics, 22 (3): 642-652 (2018)Deep learning for classification of normal swallows in adults., , , , , and . Neurocomputing, (2018)Deep learning models for bolus segmentation in videofluoroscopic swallow studies., , , , , and . J. Real Time Image Process., 21 (1): 18 (February 2024)Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia., , , and . IEEE J. Biomed. Health Informatics, 27 (2): 956-967 (February 2023)Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation., , , and . IEEE J. Biomed. Health Informatics, 25 (2): 493-503 (2021)A comparison between swallowing sounds and vibrations in patients with dysphagia., , , , and . Comput. Methods Programs Biomed., (2017)A matched dual-tree wavelet denoising for tri-axial swallowing vibrations., , , , and . Biomed. Signal Process. Control., (2016)