Author

Kwanseok Oh

Observed name: Oh, Kwanseok

Institution: Korea University

Observed institution: Korea University

ORCID: 0000-0002-7378-4569

Observed ORCID: 0000-0002-7378-4569

OpenAlex ID: A5067722957

Domain Generalization for Medical Image Analysis: A Review

2024 · Jee Seok Yoon, Kwanseok Oh, et al. · Proceedings of the IEEE · 104

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

2020 · Wonjun Ko, Kwanseok Oh, et al. · International Winter Conference on Brain-Computer Interface (BCI) · 62

Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model

2022 · Kwanseok Oh, Jee Seok Yoon, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 48

Estimating explainable Alzheimer’s disease likelihood map via clinically-guided prototype learning

2023 · Ahmad Wisnu Mulyadi, Wonsik Jung, et al. · NeuroImage · 35

A quantitatively interpretable model for Alzheimer’s disease prediction using deep counterfactuals

2025 · Kwanseok Oh, Da-Woon Heo, et al. · NeuroImage · 11

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

2023 · Junyeong Maeng, Kwanseok Oh, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 8

FIESTA: Fourier-Based Semantic Augmentation With Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation

2025 · Kwanseok Oh, Eunjin Jeon, et al. · IEEE Transactions on Neural Networks and Learning Systems · 4

XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning

2022 · Mulyadi, Ahmad Wisnu, Jung, Wonsik, et al. · arXiv (Cornell University) · 3

Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision

2020 · Oh, Kwanseok, Yoon, Jee Seok, et al. · arXiv (Cornell University) · 3

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

2025 · Junyeong Maeng, Kwanseok Oh, et al. · Artificial Intelligence in Medicine · 2

TopBrain Segmentation Challenge for Whole Brain Vessel Anatomy

2026 · Kaiyuan Yang, Pengcheng Shi, et al. · medRxiv · 1

Transferring ultrahigh-field representations for intensity-guided brain segmentation of low-field magnetic resonance imaging

2026 · Kwanseok Oh, Jieun Lee, et al. · Pattern Recognition · 1

Deep Counterfactual-Guided MRI Feature Representation and Quantitatively Interpretable Alzheimer’s Disease Prediction

2022 · Kwanseok Oh, Da-Woon Heo, et al. · Research Square · 1

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

2022 · Jieun Lee, Kwanseok Oh, et al. · Lecture notes in computer science · 1

Hierarchical Region-Aware Multi-granularity Mamba for White Matter Lesion Segmentation

2026 · Dahye Lee, Kwanseok Oh · Lecture notes in computer science

DyMix: Dynamic frequency Mixup scheduler based unsupervised domain adaptation for enhancing Alzheimer’s disease prediction

2026 · Kwanseok Oh, Yooseung Shin, et al. · Pattern Recognition

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

2026 · Seunghee Yoo, Junghyo Sohn, et al. · IEEE International Symposium on Biomedical Imaging (ISBI)

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

2026 · Ha-Eun Kim, Kwanseok Oh, et al. · IEEE International Symposium on Biomedical Imaging (ISBI)

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

2025 · Jo, Sangmin, Yoon, Jee Seok, et al. · arXiv (Cornell University)

Linear Fusion-Based Dual-MR Contrast Enhancement for Improved Choroid Plexus Segmentation

2025 · Kwanseok Oh, Dahye Lee, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

Dymix: Dynamic Frequency Mixup Scheduler Based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Prediction

2025 · Yooseung Shin, Kwanseok Oh, et al. · SSRN Electronic Journal

Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging

2024 · Oh, Kwanseok, Lee, Jieun, et al. · arXiv (Cornell University)

A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals

2023 · Oh, Kwanseok, Heo, Da-Woon, et al. · arXiv (Cornell University)

Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification

2023 · Yooseung Shin, Junyeong Maeng, et al. · Lecture notes in computer science

Works count: 27

Citation count: 287

H-index: 6

I10-index: 5