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Kwanseok Oh
Kwanseok Oh
다른 이름Kwan Seok Oh
Department of Artificial Intelligence, Korea University
korea.ac.kr의 이메일 확인됨 - 홈페이지
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Vignet: A deep convolutional neural network for eeg-based driver vigilance estimation
W Ko, K Oh, E Jeon, HI Suk
2020 8th International Winter Conference on Brain-Computer Interface (BCI), 1-3, 2020
442020
Learn-explain-reinforce: counterfactual reasoning and its guidance to reinforce an Alzheimer's Disease diagnosis model
K Oh, JS Yoon, HI Suk
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4843-4857, 2022
132022
Estimating explainable Alzheimer’s disease likelihood map via clinically-guided prototype learning
AW Mulyadi, W Jung, K Oh, JS Yoon, KH Lee, HI Suk
NeuroImage 273, 120073, 2023
4*2023
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision
K Oh, JS Yoon, HI Suk
arXiv preprint arXiv:2011.10381, 2020
22020
Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification
Y Shin, J Maeng, K Oh, HI Suk
Asian Conference on Pattern Recognition, 123-135, 2023
2023
Age-Aware Guidance via Masking-Based Attention in Face Aging
J Maeng, K Oh, HI Suk
Proceedings of the 32nd ACM International Conference on Information and …, 2023
2023
Domain Generalization for Medical Image Analysis: A Survey
JS Yoon, K Oh, Y Shin, MA Mazurowski, HI Suk
arXiv preprint arXiv:2310.08598, 2023
2023
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals
K Oh, DW Heo, AW Mulyadi, W Jung, E Kang, KH Lee, HI Suk
arXiv preprint arXiv:2310.03457, 2023
2023
BRAIN IMAGE-BASED QUANTITATIVE BRAIN DISEASE PREDICTION METHOD AND APPARATUS
HI Suk, K Oh
US Patent App. 18/212,261, 2023
2023
간단한 피처 분리 기법을 사용한 독자성을 보존하는 나이 변환
맹준영, 오관석, 허다운, 석흥일
35th Workshop on Image Processing and Image Understanding (IPIU), 2023
2023
Method and Apparatus of Generating a Counterfactual Map to Explain the Decision of Classifier
HI Suk, K Oh
KR Patent 10-2,496,769, 2023
2023
Quantifying Explainability of Counterfactual-Guided MRI Feature for Alzheimer’s Disease Prediction
K Oh, DW Heo, AW Mulyadi, W Jung, E Kang, HI Suk
2022 NeurIPS Workshop: ‘Medical Imaging meets NeurIPS (MedNeurIPS), 1-5, 2022
2022
Clinically-guided Prototype Learning and Its Use for Explanation in Alzheimer’s Disease Identification
AW Mulyadi, W Jung, K Oh, JS Yoon, HI Suk
2022 NeurIPS Workshop: ‘Medical Imaging meets NeurIPS (MedNeurIPS), 1-5, 2022
2022
Brain Disease Prediction Method and Apparatus Based on Magnetic Resonance Imaging
HI Suk, K Oh
KR Patent App. 10-2022-0,127,951, 2022
2022
A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation
J Lee, K Oh, D Shen, HI Suk
International Conference on Medical Image Computing and Computer-Assisted …, 2022
2022
Deep Counterfactual-Guided MRI Feature Representation and Quantitatively Interpretable Alzheimer’s Disease Prediction
K Oh, DW Heo, AW Mulyadi, W Jung, E Kang, KH Lee, HI Suk
2022
METHOD AND APPARATUS FOR REASONING AND REINFORCING DECISION IN BRAIN DISEASE DIAGNOSIS MODEL
HI Suk, K Oh
US Patent App. 17/714,390, 2022
2022
Method and Apparatus for Reasoning and Reinforcing Decision in Alzheimer's Disease Diagnosis Model
HI Suk, K Oh
KR Patent App. 10-2021-0,163,276, 2021
2021
딥러닝 기반 에스컬레이터 사고 방지 시스템
오관석, 김현지, 박혜선, 허대호, 도태용
대한전자공학회, 2019
2019
System and Method for Managing Companion Animal
도태용, 김현지, 박혜선, 오관석
KR Patent 10-1,983,100, 2019
2019
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학술자료 1–20