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Large AI Models in Health Informatics: Applications, Challenges, and the Future., , , , , , , , , and 4 other author(s). IEEE J. Biomed. Health Informatics, 27 (12): 6074-6087 (December 2023)A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis., , , , , , , , , and 6 other author(s). npj Digit. Medicine, (2021)Template-Based Conjecturing for Automated Induction in Isabelle/HOL., , , , and . FSEN, volume 14155 of Lecture Notes in Computer Science, page 112-125. Springer, (2023)Applications of Artificial Intelligence in the Screening of Glaucoma in China., , and . J. Medical Syst., 44 (7): 124 (2020)A deep network using coarse clinical prior for myopic maculopathy grading., , , , , , and . Comput. Biol. Medicine, (March 2023)AMD Classification Based on Adversarial Domain Adaptation with Center Loss., , , , , and . ISBI, page 1-5. IEEE, (2022)Joint Learning of Multi-Level Tasks for Diabetic Retinopathy Grading on Low-Resolution Fundus Images., , , , , , , , and . IEEE J. Biomed. Health Informatics, 26 (5): 2216-2227 (2022)Computerized detection of retina blood vessel using a piecewise line fitting approach., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86702I. SPIE, (2013)Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images., , , , , and . CoRR, (2024)Semi-Supervised Learning with Out-of-Distribution Unlabeled Samples for Retinal Image Classification., , , , , and . ISBI, page 1-5. IEEE, (2023)