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11/06/2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning
ML models often exhibit unexpectedly poor behavior when they are deploye...
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09/22/2020
Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation
As machine learning has become increasingly applied to medical imaging d...
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12/21/2018
Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images
Glaucoma is the leading cause of preventable, irreversible blindness wor...
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10/18/2018
Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program
Deep learning algorithms have been used to detect diabetic retinopathy (...
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07/04/2018