ProfessorsProfessors of Korea UniversityKwanseok Oh

Kwanseok Oh

Korea University

H-index: 3

Asia-South Korea

About Kwanseok Oh

Kwanseok Oh, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at Korea University, specializes in the field of Machine/Deep Learning, Explainable AI, Computer Vision, Medical Image Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification

Age-aware guidance via masking-based attention in face aging

Domain Generalization for Medical Image Analysis: A Survey

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

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

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

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

Kwanseok Oh Information

University	Korea University
Position	Department of Artificial Intelligence
Citations(all)	70
Citations(since 2020)	70
Cited By	6
hIndex(all)	3
hIndex(since 2020)	3
i10Index(all)	2
i10Index(since 2020)	2
Email	Access Email
University Profile Page	Korea University
Google Scholar	View Google Scholar Profile

Kwanseok Oh Skills & Research Interests

Machine/Deep Learning

Explainable AI

Computer Vision

Medical Image Analysis

Top articles of Kwanseok Oh

Title	Journal	Author(s)	Publication Date
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging	arXiv preprint arXiv:2402.08409	Kwanseok Oh Jieun Lee Da-Woon Heo Dinggang Shen Heung-Il Suk	2024/2/13
Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification		Yooseung Shin Junyeong Maeng Kwanseok Oh Heung-Il Suk	2023/11/5
Age-aware guidance via masking-based attention in face aging		Junyeong Maeng Kwanseok Oh Heung-Il Suk	2023/10/21
Domain Generalization for Medical Image Analysis: A Survey		Jee Seok Yoon Kwanseok Oh Yooseung Shin Maciej A Mazurowski Heung-Il Suk	2023/10/5
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals	arXiv preprint arXiv:2310.03457	Kwanseok Oh Da-Woon Heo Ahmad Wisnu Mulyadi Wonsik Jung Eunsong Kang ...	2023/10/5
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 ...	2023/6/1
A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation		Jieun Lee Kwanseok Oh Dinggang Shen Heung-Il Suk	2022/9/16
Deep Counterfactual-Guided MRI Feature Representation and Quantitatively Interpretable Alzheimer’s Disease Prediction		Kwanseok Oh Da-Woon Heo Ahmad Wisnu Mulyadi Wonsik Jung Eunsong Kang ...	2022/8/25
Learn-explain-reinforce: counterfactual reasoning and its guidance to reinforce an Alzheimer's Disease diagnosis model	IEEE Transactions on Pattern Analysis and Machine Intelligence	Kwanseok Oh Jee Seok Yoon Heung-Il Suk	2022/8/10
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision	arXiv preprint arXiv:2011.10381	Kwanseok Oh Jee Seok Yoon Heung-Il Suk	2020/11/20
Vignet: A deep convolutional neural network for eeg-based driver vigilance estimation		Wonjun Ko Kwanseok Oh Eunjin Jeon Heung-Il Suk	2020/2/26