Moon Hwan Lee

According to our database, Moon Hwan Lee authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Bridging the numerical-physical gap in acoustic holography via end-to-end differentiable structural optimization.

Moon Hwan Lee, Mohd. Afzal Khan, Akm Ashiquzzaman, Eunbin Lee, Jonghun Lee, Euiheon Chung, Hyuk-Sang Kwon, Jae Youn Hwang

CoRR, March, 2026

2025

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

2023

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

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

2020

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