VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation. - Wonjun Ko; Kwanseok Oh; Eunjin Jeon; Heung-Il Suk (BCI, 2020)

Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision. - Kwanseok Oh; Jee Seok Yoon; Heung-Il Suk (CoRR, 2020)

A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation. - Jieun Lee; Kwanseok Oh; Dinggang Shen; Heung-Il Suk (MICCAI (5), 2022)

XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning. - Ahmad Wisnu Mulyadi; Wonsik Jung; Kwanseok Oh; Jee Seok Yoon; Heung-Il Suk (CoRR, 2022)

Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification. - Yooseung Shin; Junyeong Maeng; Kwanseok Oh; Heung-Il Suk (ACPR (3), 2023)

Age-Aware Guidance via Masking-Based Attention in Face Aging. - Junyeong Maeng; Kwanseok Oh; Heung-Il Suk (CIKM, 2023)

Domain Generalization for Medical Image Analysis: A Survey. - Jee Seok Yoon; Kwanseok Oh; Yooseung Shin; Maciej A. Mazurowski; Heung-Il Suk (CoRR, 2023)

Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model. - Kwanseok Oh; Jee Seok Yoon; Heung-Il Suk (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning. - Ahmad Wisnu Mulyadi; Wonsik Jung; Kwanseok Oh; Jee Seok Yoon; Kun Ho Lee; Heung-Il Suk (NeuroImage, 2023)

Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging. - Kwanseok Oh; Jieun Lee; Da-Woon Heo; Dinggang Shen; Heung-Il Suk (CoRR, 2024)

FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation. - Kwanseok Oh; Eunjin Jeon; Da-Woon Heo; Yooseung Shin; Heung-Il Suk (CoRR, 2024)

DyMix: Dynamic Frequency Mixup Scheduler based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Identification. - Yooseung Shin; Kwanseok Oh; Heung-Il Suk (CoRR, 2024)

Domain Generalization for Medical Image Analysis: A Review. - Jee Seok Yoon; Kwanseok Oh; Yooseung Shin; Maciej A. Mazurowski; Heung-Il Suk (Proc. IEEE, 2024)

IdenBAT: Disentangled representation learning for identity-preserved brain age transformation. - Junyeong Maeng; Kwanseok Oh; Wonsik Jung; Heung-Il Suk (Artif. Intell. Medicine, 2025)

A quantitatively interpretable model for Alzheimer's disease prediction using deep counterfactuals. - Kwanseok Oh; Da-Woon Heo; Ahmad Wisnu Mulyadi; Wonsik Jung; Eunsong Kang; Kun Ho Lee; Heung-Il Suk (NeuroImage, 2025)