Regional Abnormality Representation Learning in Structural MRI for AD/MCI Diagnosis. - Jun-Sik Choi; Eunho Lee; Heung-Il Suk (MLMI@MICCAI, 2018)

Toward an interpretable Alzheimer's disease diagnostic model with regional abnormality representation via deep learning. - Eunho Lee; Jun-Sik Choi; Minjeong Kim; Heung-Il Suk; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2019)

One-to-many Approach for Improving Super-Resolution. - Sieun Park; Eunho Lee (CoRR, 2021)

ALiGN: Attention based Line Guided Network for Vertebral Comprssion Fracture Detection. - Yurim Lee 002; Eunho Lee; Il-tae Jang (EMBC, 2023)

NeuroFlow: Development of lightweight and efficient model integration scheduling strategy for autonomous driving system. - Eunbin Seo; Gwanjun Shin; Eunho Lee (CoRR, 2023)

Lossless Reconstruction of Convolutional Neural Network for Channel-Based Network Pruning. - Donghyeon Lee; Eunho Lee; Youngbae Hwang (Sensors, 2023)

Pruning from Scratch via Shared Pruning Module and Nuclear norm-based Regularization. - Donghyeon Lee; Eunho Lee; Youngbae Hwang (WACV, 2024)

Decomformer: Decompose Self-Attention of Transformer for Efficient Image Restoration. - Eunho Lee; Youngbae Hwang (IEEE Access, 2024)

Toward Robust LiDAR based 3D Object Detection via Density-Aware Adaptive Thresholding. - Eunho Lee; Minwoo Jung; Ayoung Kim (CoRR, 2024)

Automatic Channel Pruning for Multi-Head Attention. - Eunho Lee; Youngbae Hwang (CoRR, 2024)

Pruning networks at once via nuclear norm-based regularization and bi-level optimization. - Donghyeon Lee; Eunho Lee; Jaehyuk Kang; Youngbae Hwang (Comput. Vis. Image Underst., 2025)