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Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning., , , , , , , , and . MLMI@MICCAI, volume 13583 of Lecture Notes in Computer Science, page 11-20. Springer, (2022)Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations., , , , , , , , and . CoRR, (2023)Contrastive learning improves critical event prediction in COVID-19 patients., , , , , , , , , and 8 other author(s). Patterns, 2 (12): 100389 (2021)Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction., , , , , , , , , and 2 other author(s). BCB, page 9:1-9:9. ACM, (2022)Biomedical Knowledge Graph Refinement and Completion Using Graph Representation Learning and Top-K Similarity Measure., , , , , and . iConference (1), volume 12645 of Lecture Notes in Computer Science, page 112-123. Springer, (2021)Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN., , , , , and . CoRR, (2020)Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction., , , , , and . ICHI, page 101-110. IEEE, (2023)Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions., , , , , , , , , and 5 other author(s). AIME, volume 12299 of Lecture Notes in Computer Science, page 14-25. Springer, (2020)Addressing supply chain risks of microelectronic devices through computer vision., , , , , , and . AIPR, page 1-8. IEEE Computer Society, (2017)Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records., , , , and . CoRR, (2020)