Haeyun Lee

Assistant Professor

South Korea

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About

Haeyun Lee is an Assistant Professor at Koreatech, South Korea. Her research areas focus on advanced imaging techniques and machine learning applications in medical diagnostics, including ultrasound image analysis and remote sensing. Recent articles highlight her work on differentiating incomplete Kawasaki disease, smartphone-based localization systems, and enhancing diagnostic systems for complex medical conditions.

Articles (12)

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2025

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2025

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2025

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2024

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2023

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2022

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2022

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2021

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2021

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2020

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SOUTH KOREA

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Haeyun Lee

Research Interests

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Articles (12)

Real-Time Self-Supervised Ultrasound Image Enhancement Using Test-Time Adaptation for Sophisticated Rotator Cuff Tear Diagnosis

Expert-level differentiation of incomplete Kawasaki disease and pneumonia from echocardiography via multiple large receptive attention mechanisms

SoN: Selective Optimal Network for smartphone-based indoor localization in real-time

Fine-Grained Binary Object Segmentation in Remote Sensing Imagery via Path-Selective Test-Time Adaptation

Deep Learning–Based Diagnostic System for Velopharyngeal Insufficiency Based on Videofluoroscopy in Patients With Repaired Cleft Palates

Speckle Reduction via Deep Content-Aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image

Boundary-Oriented Binary Building Segmentation Model With Two Scheme Learning for Aerial Images

Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment

Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images

Locally Adaptive Channel Attention-Based Network for Denoising Images

Channel Attention Module with Multi-scale Grid Average Pooling for Breast Cancer Segmentation in an Ultrasound Image

Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms

Collaborators (5)

Jae Youn Hwang

Kyungsu Lee

Sunghyun Cho

Jun-Young Kim

Inn-Chul Nam

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