| 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 | 44 | 2020 |
| 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 | 13 | 2022 |
| 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 | 2 | 2020 |
| 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 |
Heung-Il SukDept. of Artificial Intelligence, Dept. of Brain and Cognitive Engineering, Koreakorea.ac.kr의 이메일 확인됨
