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A survey on medical image analysis in diabetic retinopathy., and . Medical Image Anal., (2020)Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods., , , , , , and . ICHI, page 499-500. IEEE, (2021)DOMINO: Domain-aware loss for deep learning calibration., , , , , , , and . Softw. Impacts, (March 2023)Domain-invariant interpretable fundus image quality assessment., , , , , , , , and . Medical Image Anal., (2020)Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods., , , , , , and . BMC Medical Informatics Decis. Mak., 22-S (3): 255 (2022)Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration., , , , , , , and . Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation., , , , , , , and . MICCAI (5), volume 13435 of Lecture Notes in Computer Science, page 454-463. Springer, (2022)DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability., , , , , , , and . MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 713-723. Springer, (2023)