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A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals., , , , , , and . CoRR, (2023)Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series., , and . CoRR, (2020)Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series., , and . IEEE Trans. Cybern., 52 (9): 9684-9694 (2022)ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding., , , , and . ICDM, page 1162-1167. IEEE, (2021)Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression., , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 168-176. Springer, (2019)Stochastic Imputation and Uncertainty-Aware Attention to EHR for Mortality Prediction., , and . IJCNN, page 1-7. IEEE, (2019)Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning., , , , , and . NeuroImage, (June 2023)Deep Efficient Continuous Manifold Learning for Time Series Modeling., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 46 (1): 171-184 (January 2024)KindMed: Knowledge-Induced Medicine Prescribing Network for Medication Recommendation., and . CoRR, (2023)Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction., , , and . IEEE Trans. Neural Networks Learn. Syst., 32 (9): 4052-4062 (2021)