13 citations · 16 across the 5 of their papers we have counts for
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cs.CV2018
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★ 13 cited
Wide and deep volumetric residual networks for volumetric image classification
Varun Arvind, Anthony Costa, Marcus Badgeley +2
3D shape models that directly classify objects from 3D information have become more widely implementable. Current state of the art models rely on deep convolutional and inception m…