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Ahmad Wisnu Mulyadi
Ahmad Wisnu Mulyadi
Dept. of Brain and Cognitive Engineering, Korea University
korea.ac.kr의 이메일 확인됨
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Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series
AW Mulyadi, E Jun, HI Suk
IEEE Transactions on Cybernetics 52 (9), 11, 2022
382022
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
272020
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
202019
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
162019
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
8*2023
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
8*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
22021
ProtoBrainMaps: Prototypical Brain Maps for Alzheimer's Disease Progression Modeling
AW Mulyadi, HI Suk
Medical Imaging with Deep Learning (MIDL), Short Paper, 2021
22021
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
12022
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
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