output
20172022
most citedPredicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning

1.9k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2018★ 1.7k cited

Confounding variables can degrade generalization performance of radiological deep learning models

John R. Zech, Marcus A. Badgeley, Manway Liu +3

Early results in using convolutional neural networks (CNNs) on x-rays to diagnose disease have been promising, but it has not yet been shown that models trained on x-rays from one…

cs.CV2017★ 1.9k cited

Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning

Ryan Poplin, Avinash V. Varadarajan, Katy Blumer +5

Traditionally, medical discoveries are made by observing associations and then designing experiments to test these hypotheses. However, observing and quantifying associations in im…