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06/01/2023
Using generative AI to investigate medical imagery models and datasets
AI models have shown promise in many medical imaging tasks. However, our...
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07/19/2022
Discovering novel systemic biomarkers in photos of the external eye
External eye photos were recently shown to reveal signs of diabetic reti...
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11/25/2020
Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology
Genome-wide association studies (GWAS) require accurate cohort phenotypi...
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11/23/2020
Detecting hidden signs of diabetes in external eye photographs
Diabetes-related retinal conditions can be detected by examining the pos...
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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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08/10/2020
Predicting Risk of Developing Diabetic Retinopathy using Deep Learning
Diabetic retinopathy (DR) screening is instrumental in preventing blindn...
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04/12/2019
Detecting Anemia from Retinal Fundus Images
Despite its high prevalence, anemia is often undetected due to the invas...
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04/10/2019
Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning
Background: Patients with neovascular age-related macular degeneration (...
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12/21/2018