Visual Intelligence LAB at KOREATECH

Research

All

2025

Expert-level differentiation of incomplete Kawasaki disease and pneumonia from echocardiography via multiple large receptive attention mechanisms
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
Computers in Biology and Medicine (SCIE)  ·  Sep 01 2025  ·  doi:10.1016/j.compbiomed.2025.110478
*Equally contributed
medical-image-analysis attention-mechanism
SoN: Selective Optimal Network for smartphone-based indoor localization in real-time
SoN: Selective Optimal Network for smartphone-based indoor localization in real-time
Kyungsu Lee*, Haeyun Lee*, Jae Youn Hwang
Expert Systems with Applications (SCIE)  ·  May 01 2025  ·  doi:10.1016/j.eswa.2025.126639
*Equally contributed
indoor-localization optimization
Real-Time Self-Supervised Ultrasound Image Enhancement Using Test-Time Adaptation for Sophisticated Rotator Cuff Tear Diagnosis
Real-Time Self-Supervised Ultrasound Image Enhancement Using Test-Time Adaptation for Sophisticated Rotator Cuff Tear Diagnosis
Haeyun Lee*, Kyungsu Lee*, Jong Pil Yoon, Jihun Kim, Jun-Young Kim
IEEE Signal Processing Letters (SCIE)  ·  Apr 03 2025  ·  doi:10.1109/LSP.2025.3557754
*Equally contributed
medical-image-analysis image-restoration

2024

Fine-Grained Binary Object Segmentation in Remote Sensing Imagery via Path-Selective Test-Time Adaptation
Fine-Grained Binary Object Segmentation in Remote Sensing Imagery via Path-Selective Test-Time Adaptation
Kyungsu Lee, Haeyun Lee, Juhum Park, Jae Youn Hwang
IEEE Transactions on Geoscience and Remote Sensing  ·  Mar 25 2024  ·  doi:10.1109/TGRS.2024.3378311
remote-sensing test-time-adaptation
Multi-Scale Self-Attention Network for Denoising Medical Images
Multi-Scale Self-Attention Network for Denoising Medical Images
Kyungsu Lee*, Haeyun Lee*, Moon Hwan Lee, C-C Jay Kuo, Seung-June Oh, Jonghye Woo, Jae Youn Hwang
APSIPA Transactions on Signal and Information Processing (SCOPUS)  ·  Jan 22 2024  ·  doi:10.1561/116.00000169
*Equally contributed
medical-image-analysis image-restoration

2023

Deep Learning Based Diagnostic System for Velopharyngeal Insufficiency Based on Videofluoroscopy in Patients With Repaired Cleft Palates
Deep Learning–Based Diagnostic System for Velopharyngeal Insufficiency Based on Videofluoroscopy in Patients With Repaired Cleft Palates
Jeong Hyun Ha*, Haeyun Lee*, Seok Min Kwon*, Hyunjin Joo, Guang Lin, Deok-Yeol Kim, Sukwha Kim, Jae Youn Hwang, Jee-Hyeok Chung, Hyoun-Joong Kong
Journal of Craniofacial Surgery (SCIE)  ·  Nov 01 2023  ·  doi:10.1097/scs.0000000000009560
*Equally contributed
medical-image-analysis classification
Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning
Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning
Kyungsu Lee, Haeyun Lee, Georges El Fakhri, Jonghye Woo, Jae Youn Hwang
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023) (AI Top Conference)  ·  Oct 01 2023  ·  doi:10.1007/978-3-031-43907-0_52
medical-image-analysis domain-adaptation
Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis
Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis
Kyungsu Lee*, Haeyun Lee*, Thiago Coutinho Cavalcanti, Sewoong Kim, Georges El Fakhri, Dong Hun Lee, Jonghye Woo, Jae Youn Hwang
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023) (AI Top Conference)  ·  Oct 01 2023  ·  doi:10.1007/978-3-031-43898-1_37
*Equally contributed
medical-image-analysis federated-learning
USIM Gate: UpSampling Module for Segmenting Precise Boundaries concerning Entropy
USIM Gate: UpSampling Module for Segmenting Precise Boundaries concerning Entropy
Kyungsu Lee, Haeyun Lee, Jae Youn Hwang
International Conference on Artificial Intelligence and Statistics (AISTAT 2023) (AI Top Conference)  ·  Apr 26 2023  ·  [no id info]
remote-sensing segmentation
Outlier Robust Disease Classification via Stochastic Confidence Network
Outlier Robust Disease Classification via Stochastic Confidence Network
Kyungsu Lee, Haeyun Lee, Georges El Fakhri, Jorge Sepulcre, Xiaofeng Liu, Fangxu Xing, Jae Youn Hwang, Jonghye Woo
Lecture Notes in Computer Science  ·  Jan 01 2023  ·  doi:10.1007/978-3-031-47425-5_8

2022

Stochastic Adaptive Activation Function
Stochastic Adaptive Activation Function
Kyungsu Lee, Jaeseung Yang, Haeyun Lee, Jae Youn Hwang
The Thirty-sixth Annual Conference on Neural Information Processing Systems (Neurips 2022) (AI Top Conference)  ·  Dec 02 2022  ·  doi:10.48550/arXiv.2210.11672
machine-learning activation-function
Explainable deep learning algorithm for distinguishing incomplete Kawasaki disease by coronary artery lesions on echocardiographic imaging
Explainable deep learning algorithm for distinguishing incomplete Kawasaki disease by coronary artery lesions on echocardiographic imaging
Haeyun Lee, Yongsoon Eun, Jae Youn Hwang, Lucy Youngmin Eun
Computer Methods and Programs in Biomedicine (SCIE)  ·  Aug 01 2022  ·  doi:10.1016/j.cmpb.2022.106970
medical-image-analysis classification
Speckle Reduction via Deep Content-Aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image
Speckle Reduction via Deep Content-Aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image
Haeyun Lee*, Moon Hwan Lee*, Sangyeon Youn, Kyungsu Lee, Hah Min Lew, Jae Youn Hwang
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (SCIE)  ·  Jul 25 2022  ·  doi:10.1109/TUFFC.2022.3193640
*Equally contributed
medical-image-analysis image-restoration self-supervised-learning

2021

Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images
Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images
Kyungsu Lee, Haeyun Lee, Jae Youn Hwang
International Conference on Computer Vision (ICCV 2021) (AI Top Conference)  ·  Oct 14 2021  ·  doi:10.1109/ICCV48922.2021.00698
remote-sensing domain-adaptation
Boundary-Oriented Binary Building Segmentation Model With Two Scheme Learning for Aerial Images
Boundary-Oriented Binary Building Segmentation Model With Two Scheme Learning for Aerial Images
Kyungsu Lee, Jun Hee Kim, Haeyun Lee, Juhum Park, Jihwan P. Choi, Jae Youn Hwang
IEEE Transactions on Geoscience and Remote Sensing (SCIE)  ·  Jul 26 2021  ·  doi:10.1109/TGRS.2021.3089623
remote-sensing segmentation
Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment
Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment
Haeyun Lee*, Young Jun Chai*, Hyunjin Joo, Kyungsu Lee, Jae Youn Hwang, …, Hiroo Masuoka, Akira Miyauchi, Kyu Eun Lee, Sungwan Kim, Hyoun-Joong Kong
JMIR Medical Informatics (SCIE)  ·  Apr 03 2021  ·  doi:10.2196/25869
*Equally contributed
medical-image-analysis federated-learning
Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images
Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images
Haeyun Lee, Kyungsu Lee, Jun Hee Kim, Younghwan Na, Juhum Park, Jihwan P. Choi, Jae Youn Hwang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote (SCIE) Sensing  ·  Mar 26 2021  ·  doi:10.1109/JSTARS.2021.3069242
remote-sensing change-detection

2020

Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms
Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms
Jaesung Rim, Haeyun Lee, Jucheol Won, Sunghyun Cho
European Conference on Computer Vision (ECCV 2020) (AI Top Conference)  ·  Aug 25 2020  ·  doi:10.1007/978-3-030-58595-2_12
image-restoration dataset
Locally Adaptive Channel Attention-Based Network for Denoising Images
Locally Adaptive Channel Attention-Based Network for Denoising Images
Haeyun Lee, Sunghyun Cho
IEEE ACCESS (SCIE)  ·  Feb 14 2020  ·  doi:10.1109/ACCESS.2020.2974001
image-restoration attention
Channel Attention Module with Multi-scale Grid Average Pooling for Breast Cancer Segmentation in an Ultrasound Image
Channel Attention Module with Multi-scale Grid Average Pooling for Breast Cancer Segmentation in an Ultrasound Image
Haeyun Lee, Jinhyoung Park, Jae Youn Hwang
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (SCIE)  ·  Feb 10 2020  ·  doi:10.1109/tuffc.2020.2972573
medical-image-analysis attention

2019

Image Restoration Network with Adaptive Channel Attention Modules for Combined Distortions
Image Restoration Network with Adaptive Channel Attention Modules for Combined Distortions
Haeyun Lee, Sunghyun Cho
Journal of the Korea Computer Graphics Society (KCI)  ·  Jul 01 2019  ·  doi:10.15701/kcgs.2019.25.3.1
image-restoration attention

2018

Objects Segmentation From High-Resolution Aerial Images Using U-Net With Pyramid Pooling Layers
Objects Segmentation From High-Resolution Aerial Images Using U-Net With Pyramid Pooling Layers
Jun Hee Kim*, Haeyun Lee*, Seonghwan J. Hong, Sewoong Kim, Juhum Park, Jae Youn Hwang, Jihwan P. Choi
IEEE Geoscience and Remote Sensing Letters (SCIE)  ·  Sep 27 2018  ·  doi:10.1109/lgrs.2018.2868880
*Equally contributed
remote-sensing segmentation