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 Geosci. Remote. Sens. Lett., 2019)

Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms. - Jaesung Rim; Haeyun Lee; Jucheol Won; Sunghyun Cho (ECCV (25), 2020)

Locally Adaptive Channel Attention-Based Network for Denoising Images. - Haeyun Lee; Sunghyun Cho (IEEE Access, 2020)

Self-Mutating Network for Domain Adaptive Segmentation of Aerial Images. - Kyungsu Lee; Haeyun Lee; Jae Youn Hwang (ICCV, 2021)

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 J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Stochastic Adaptive Activation Function. - Kyungsu Lee; Jaeseung Yang; Haeyun Lee; Jae Youn Hwang (NeurIPS, 2022)

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 (Comput. Methods Programs Biomed., 2022)

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 Trans. Geosci. Remote. Sens., 2022)

USIM Gate: UpSampling Module for Segmenting Precise Boundaries concerning Entropy. - Kyungsu Lee; Haeyun Lee; Jae Youn Hwang (AISTATS, 2023)

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 (MICCAI (3), 2023)

Outlier Robust Disease Classification via Stochastic Confidence Network. - Kyungsu Lee; Haeyun Lee; Georges El Fakhri; Jorge Sepulcre; Xiaofeng Liu 001; Fangxu Xing; Jae Youn Hwang; Jonghye Woo (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

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 (MICCAI (1), 2023)

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 Trans. Geosci. Remote. Sens., 2024)

Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information. - Kyungsu Lee; Haeyun Lee; Jae Youn Hwang (ICLR, 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)

SoN: Selective Optimal Network for smartphone-based indoor localization in real-time. - Kyungsu Lee; Haeyun Lee; Jae Youn Hwang (Expert Syst. Appl., 2025)

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 Process. Lett., 2025)