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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
Importance Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing theExpand
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Geodesic star convexity for interactive image segmentation
TLDR
We introduce a new shape constraint for interactive image segmentation. Expand
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Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy
TLDR
We use adjudication to quantify errors in diabetic retinopathy (DR) grading based on individual graders and majority decision, and to train an improved automated algorithm for DR grading. Expand
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Who Said What: Modeling Individual Labelers Improves Classification
TLDR
Data are often labeled by many different experts with each expert only labeling a small fraction of the data and each data point being labeled by several experts. Expand
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Humanising GrabCut: Learning to segment humans using the Kinect
TLDR
The Kinect provides an opportunity to collect large quantities of training data for visual learning algorithms relatively effortlessly. Expand
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Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India.
Importance More than 60 million people in India have diabetes and are at risk for diabetic retinopathy (DR), a vision-threatening disease. Automated interpretation of retinal fundus photographs canExpand
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Inundation Modeling in Data Scarce Regions
TLDR
We present an operational system providing flood extent forecast maps covering several flood-prone regions in India, with the goal of being sufficiently scalable and cost-efficient to facilitate the establishment of effective flood forecasting systems globally. Expand
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Appreciation to IJCV Reviewers
Henrik Aanæs Surpreeth Achar Andrew Adams Lourdes Agapito Alexander Agathos Karteek Alahari Alexandre Alahi Andres Almansa Nicolas Alt Mohamed Aly Mohamed Amer Laurent Amsaleg Bjoern Andres MykhayloExpand