| Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series AW Mulyadi, E Jun, HI Suk IEEE Transactions on Cybernetics 52 (9), 11, 2022 | 51 | 2022 |
| Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction E Jun, AW Mulyadi, J Choi, HI Suk IEEE Transactions on Neural Networks and Learning Systems 32 (9), 4052-4062, 2020 | 27 | 2020 |
| Stochastic Imputation and Uncertainty-Aware Attention to EHR for Mortality Prediction E Jun*, AW Mulyadi*, HI Suk 2019 International Joint Conference on Neural Networks (IJCNN), 2019 | 20 | 2019 |
| Unified modeling of imputation, forecasting, and prediction for ad progression W Jung, AW Mulyadi, HI Suk Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 19 | 2019 |
| 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 | 16* | 2023 |
| Deep efficient continuous manifold learning for time series modeling S Jeong, W Ko, AW Mulyadi, HI Suk IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 9* | 2023 |
| ENGINE: Enhancing neuroimaging and genetic information by neural embedding W Ko, W Jung, E Jeon, AW Mulyadi, HI Suk 2021 IEEE International Conference on Data Mining (ICDM), 1162-1167, 2021 | 2 | 2021 |
| ProtoBrainMaps: Prototypical Brain Maps for Alzheimer's Disease Progression Modeling AW Mulyadi, HI Suk Medical Imaging with Deep Learning (MIDL), Short Paper, 2021 | 2 | 2021 |
| Continuous Riemannian Geometric Learning for Sleep Staging Classification S Jeong, W Ko, AW Mulyadi, HI Suk 2022 10th International Winter Conference on Brain-Computer Interface (BCI), 1-2, 2022 | 1 | 2022 |
| An introduction to neural networks and deep learning AW Mulyadi, JS Yoon, E Jeon, W Ko, HI Suk Deep Learning for Medical Image Analysis, Second Edition, 3-31, 2023 | | 2023 |
| KindMed: Knowledge-Induced Medicine Prescribing Network for Medication Recommendation AW Mulyadi, HI Suk arXiv preprint arXiv:2310.14552, 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 |
| Clinically-guided Prototype Learning and Its Use for Explanation in Alzheimer's Disease Identification AW Mulyadi, W Jung, K Oh, JS Yoon, HI Suk Medical Imaging Meets NeurIPS (MedNeurIPS) Workshop, 2022 | | 2022 |
| Method and Apparatus for Predicting and Explaining Diagnosis of Alzheimer's Disease HI Suk, AW Mulyadi KR Patent App. 10-2022-0,143,264, 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 |
| Quantifying Explainability of Counterfactual-Guided MRI Feature for Alzheimer’s Disease Prediction K Oh, DW Heo, AW Mulyadi, W Jung, E Kang, HI Suk | | |
Heung-Il SukDepartment of Artificial Intelligence, Korea University在 korea.ac.kr 的电子邮件经过验证
