Wide-Field 3D Ultrasound Imaging Platform With a Semi-Automatic 3D Segmentation Algorithm for Quantitative Analysis of Rotator Cuff Tears. - Moon Hwan Lee; Jun-Young Kim; Kyungsu Lee; Chang-Hyuk Choi; Jae Youn Hwang (IEEE Access, 2020)

Imbalanced Loss-Integrated Deep-Learning-Based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear. - Kyungsu Lee; Jun-Young Kim; Moon Hwan Lee; Chang-Hyuk Choi; Jae Youn Hwang (Sensors, 2021)

CSS-Net: Classification and Substitution for Segmentation of Rotator Cuff Tear. - Kyungsu Lee; Hah Min Lew; Moon Hwan Lee; Jun-Young Kim; Jae Youn Hwang (ACCV (6), 2022)

USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer. - Kyungsu Lee; Jaeseung Yang; Moon Hwan Lee; Jin Ho Chang; Jun-Young Kim; Jae Youn Hwang (MICCAI (8), 2022)

Deep Learning-based Synthetic High-Resolution In-Depth Imaging Using an Attachable Dual-element Endoscopic Ultrasound Probe. - Hah Min Lew; Jae Seong Kim; Moon Hwan Lee; Jaegeun Park; Sangyeon Youn; Hee Man Kim; Jihun Kim; Jae Youn Hwang (CoRR, 2023)

Expert-level differentiation of incomplete Kawasaki disease and pneumonia from echocardiography via multiple large receptive attention mechanisms. - Haeyun Lee; Kyungsu Lee; Moon Hwan Lee; Sewoong Kim; Yongsoon Eun; Lucy Youngmin Eun; Jae Youn Hwang (Comput. Biol. Medicine, 2025)