| Uncertainty-aware variational-recurrent imputation network for clinical time series AW Mulyadi, E Jun, HI Suk IEEE Transactions on Cybernetics 52 (9), 9684-9694, 2021 | 56 | 2021 |
| Deep recurrent model for individualized prediction of Alzheimer’s disease progression W Jung, E Jun, HI Suk, Alzheimer’s Disease Neuroimaging Initiative NeuroImage 237, 118143, 2021 | 45 | 2021 |
| Medical transformer: Universal brain encoder for 3D MRI analysis E Jun, S Jeong, DW Heo, HI Suk arXiv preprint arXiv:2104.13633, 2021 | 43 | 2021 |
| Deep recurrent spatio-temporal neural network for motor imagery based BCI W Ko, J Yoon, E Kang, E Jun, JS Choi, HI Suk 2018 6th International Conference on Brain-Computer Interface (BCI), 1-3, 2018 | 42 | 2018 |
| Identifying resting‐state effective connectivity abnormalities in drug‐naïve major depressive disorder diagnosis via graph convolutional networks E Jun, KS Na, W Kang, J Lee, HI Suk, BJ Ham Human Brain Mapping 41 (17), 4997-5014, 2020 | 29 | 2020 |
| 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 |
| Modeling regional dynamics in low-frequency fluctuation and its application to autism spectrum disorder diagnosis E Jun, E Kang, J Choi, HI Suk NeuroImage 184, 669-686, 2019 | 26 | 2019 |
| 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), 1-7, 2019 | 21 | 2019 |
| Multi-view integrative attention-based deep representation learning for irregular clinical time-series data Y Lee, E Jun, J Choi, HI Suk IEEE Journal of Biomedical and Health Informatics 26 (8), 4270-4280, 2022 | 19 | 2022 |
| Mutual Learning for Long-Tailed Recognition C Park, J Yim, E Jun Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 6 | 2023 |
| Region-wise stochastic pattern modeling for autism spectrum disorder identification and temporal dynamics analysis E Jun, HI Suk Connectomics in NeuroImaging: First International Workshop, CNI 2017, Held …, 2017 | 4 | 2017 |
| Medical Transformer: Universal Encoder for 3-D Brain MRI Analysis E Jun, S Jeong, DW Heo, HI Suk IEEE Transactions on Neural Networks and Learning Systems, 2023 | 3 | 2023 |
| Multi-view integration learning for irregularly-sampled clinical time series Y Lee, E Jun, HI Suk arXiv preprint arXiv:2101.09986, 2021 | 3 | 2021 |
| Deep recurrent disease progression model for conversion-time prediction of Alzheimer’s disease W Jung, E Jun, HI Suk arXiv preprint arXiv:2005.02643, 2020 | 3 | 2020 |
| Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series A Wisnu Mulyadi, E Jun, HI Suk arXiv e-prints, arXiv: 2003.00662, 2020 | | 2020 |
| Mutual Learning for Long-Tailed Recognition Supplementary Material C Park, J Yim, E Jun ACE 1 (54.7), 56.6, 0 | | |
Heung-Il SukDepartment of Artificial Intelligence, Korea University在 korea.ac.kr 的电子邮件经过验证
