Kwanseok Oh

21 papers A 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
FIESTA: Fourier-Based Semantic Augmentation With Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Kwanseok Oh, Eunjin Jeon, Da-Woon Heo, Yooseung Shin, Heung-Il Suk
2026 J jnl
Transferring ultrahigh-field representations for intensity-guided brain segmentation of low-field magnetic resonance imaging.
Pattern Recognit.
Kwanseok Oh, Jieun Lee, Da-Woon Heo, Dinggang Shen, Heung-Il Suk
2025 J jnl
A quantitatively interpretable model for Alzheimer's disease prediction using deep counterfactuals.
NeuroImage
Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, Wonsik Jung, Eunsong Kang, Kun Ho Lee, Heung-Il Suk
2025 J jnl
IdenBAT: Disentangled representation learning for identity-preserved brain age transformation.
Artif. Intell. Medicine
Junyeong Maeng, Kwanseok Oh, Wonsik Jung, Heung-Il Suk
2025 J jnl
MEASURE: Multi-scale Minimal Sufficient Representation Learning for Domain Generalization in Sleep Staging.
CoRR
Sangmin Jo, Jee Seok Yoon, Wootaek Jeong, Kwanseok Oh, Heung-Il Suk
2024 J jnl
Domain Generalization for Medical Image Analysis: A Review.
Proc. IEEE
Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk
2024 J jnl
DyMix: Dynamic Frequency Mixup Scheduler based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Identification.
CoRR
Yooseung Shin, Kwanseok Oh, Heung-Il Suk
2024 J jnl
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation.
CoRR
Kwanseok Oh, Eunjin Jeon, Da-Woon Heo, Yooseung Shin, Heung-Il Suk
2024 J jnl
IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation.
CoRR
Junyeong Maeng, Kwanseok Oh, Wonsik Jung, Heung-Il Suk
2024 J jnl
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging.
CoRR
Kwanseok Oh, Jieun Lee, Da-Woon Heo, Dinggang Shen, Heung-Il Suk
2023 J jnl
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals.
CoRR
Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, Wonsik Jung, Eunsong Kang, Kun Ho Lee, Heung-Il Suk
2023 A conf
Age-Aware Guidance via Masking-Based Attention in Face Aging.
CIKM
Junyeong Maeng, Kwanseok Oh, Heung-Il Suk
2023 J jnl
Domain Generalization for Medical Image Analysis: A Survey.
CoRR
Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk
2023 J jnl
Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning.
NeuroImage
Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Kun Ho Lee, Heung-Il Suk
2023 — conf
Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification.
ACPR (3)
Yooseung Shin, Junyeong Maeng, Kwanseok Oh, Heung-Il Suk
2023 J jnl
Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model.
IEEE Trans. Pattern Anal. Mach. Intell.
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2022 — conf
A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation.
MICCAI (5)
Jieun Lee, Kwanseok Oh, Dinggang Shen, Heung-Il Suk
2022 J jnl
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning.
CoRR
Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2021 J jnl
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model.
CoRR
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2020 J jnl
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision.
CoRR
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2020 — conf
VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation.
BCI
Wonjun Ko, Kwanseok Oh, Eunjin Jeon, Heung-Il Suk