Kwanseok Oh

According to our database, Kwanseok Oh authored at least 18 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

IEEE Trans. Neural Networks Learn. Syst., March, 2026

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

Pattern Recognit., 2026

SAM-TXD: SAM with Text-Guided Diffusion for Refined Medical Image Segmentation.

Seunghee Yoo, Junghyo Sohn, Kwanseok Oh, Heung-Il Suk

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

PAT-DIFF: Pathology-Aware Residual Diffusion Framework for MRI-to-PET Translation in Alzheimer's Disease.

Ha-Eun Kim, Kwanseok Oh, Heung-Il Suk

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

MEASURE: Multi-scale Minimal Sufficient Representation Learning for Domain Generalization in Sleep Staging.

Sangmin Jo, Jee Seok Yoon, Wootaek Jeong, Kwanseok Oh, Heung-Il Suk

CoRR, October, 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

IdenBAT: Disentangled representation learning for identity-preserved brain age transformation.

Junyeong Maeng, Kwanseok Oh, Wonsik Jung, Heung-Il Suk

Artif. Intell. Medicine, 2025

2024

Domain Generalization for Medical Image Analysis: A Review.

Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk

Proc. IEEE, October, 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

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, June, 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., April, 2023

Domain Generalization for Medical Image Analysis: A Survey.

Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk

CoRR, 2023

Age-Aware Guidance via Masking-Based Attention in Face Aging.

Junyeong Maeng, Kwanseok Oh, Heung-Il Suk

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification.

Yooseung Shin, Junyeong Maeng, Kwanseok Oh, Heung-Il Suk

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

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

A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation.

Jieun Lee, Kwanseok Oh, Dinggang Shen, Heung-Il Suk

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation.

Wonjun Ko, Kwanseok Oh, Eunjin Jeon, Heung-Il Suk

Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020