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Iterative Quality Control Strategies for Expert Medical Image Labeling., , , , , , , , , and . HCOMP, page 60-71. AAAI Press, (2021)Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images., , , , , , , , , and 10 other author(s). CoRR, (2018)Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program., , , , , , , , , and 22 other author(s). npj Digit. Medicine, (2019)Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program., , , , , , , , , and 22 other author(s). npj Digit. Medicine, (2019)Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program., , , , , , , , , and 22 other author(s). CoRR, (2018)Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation., , , , , , and . CoRR, (2020)