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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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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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02/24/2018
Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks
Five billion people in the world lack access to quality surgical care. S...
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10/04/2017
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy
Diabetic retinopathy (DR) and diabetic macular edema are common complica...
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09/07/2017
Scalable Annotation of Fine-Grained Categories Without Experts
We present a crowdsourcing workflow to collect image annotations for vis...
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09/07/2017
Fine-Grained Car Detection for Visual Census Estimation
Targeted socioeconomic policies require an accurate understanding of a c...
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02/22/2017
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US
The United States spends more than 1B each year on initiatives such as t...
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11/20/2016
A Hierarchical Approach for Generating Descriptive Image Paragraphs
Recent progress on image captioning has made it possible to generate nov...
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11/20/2015
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
Current approaches for fine-grained recognition do the following: First,...
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09/01/2014
