Detection of the Pharyngeal Phase in the Videofluoroscopic Swallowing Study Using Inflated 3D Convolutional Networks. - Jong Taek Lee; Eunhee Park 002 (MLMI@MICCAI, 2018)

Automatic Detection of the Pharyngeal Phase in Raw Videos for the Videofluoroscopic Swallowing Study Using Efficient Data Collection and 3D Convolutional Networks. - Jong Taek Lee; Eunhee Park 002; Tae-Du Jung (Sensors, 2019)

Comparative Analysis of Deep Learning Architectures for Penetration and Aspiration Detection in Videofluoroscopic Swallowing Studies. - Chinthala Sreya Reddy; Eunhee Park 002; Jong Taek Lee (IEEE Access, 2023)

Deep Learning for Video Fluoroscopic Swallowing Study Analysis: A Survey on Classification, Detection, and Segmentation Techniques. - Ahmed Fakhry; Sarah Mary Antony; Eunhee Park 002; Jong Taek Lee (IEEE Access, 2025)