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Deep neural networks (DNNs) show promise in image-based medical diagnosis, but cannot be fully trusted since their performance can be severely degraded by dataset shifts to which human perception remains invariant.
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Alex Krizhevsky, Ilya Sutskever and Geoffrey. Hinton · 2012
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“ImageNet classification with deep convolutional neural networks”
Alex Krizhevsky, Ilya Sutskever and Geoffrey. Hinton · 2012
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Christian Szegedy et al · 2014
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Judea Pearl · 2014
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Jae Choi et al · 2014
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“Intriguing properties of neural networks”
Christian Szegedy et al · 2014
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“Comment: understanding Simpson’s paradox”
Judea Pearl · 2014
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“Breast cancer detected with screening US: reasons for nondetection at mammography”
Min Bae et al · 2014
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“Mammographic artifacts on full-field digital mammography”
Jae Choi et al · 2014
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Karen Simonyan and Andrew Zisserman · 2015
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Shaoqing Ren, Kaiming He, Ross. Girshick and Jian Sun · 2015
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Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman and David Blei · 2015
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“Very deep convolutional networks for large-scale image recognition”
Karen Simonyan and Andrew Zisserman · 2015
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“Faster R-CNN: towards real-time object detection with region proposal networks”
Shaoqing Ren, Kaiming He, Ross. Girshick and Jian Sun · 2015
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“Automatic variational inference in Stan”
Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman and David Blei · 2015
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“You only look once: unified, real-time object detection”
Joseph Redmon, Santosh Divvala, Ross. Girshick and Ali Farhadi · 2016
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Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun · 2016
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Joseph Redmon, Santosh Divvala, Ross. Girshick and Ali Farhadi · 2016
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Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun · 2016
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“Densely connected convolutional networks”
Gao Huang, Zhuang Liu, Laurens van Maaten and Kilian. Weinberger · 2017
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“Mask R-CNN”
Kaiming He, Georgia Gkioxari, Piotr Dollár and Ross. Girshick · 2017
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Andre Esteva et al · 2017
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Jason Jo and Yoshua Bengio · 2017
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Samuel Dodge and Lina Karam · 2017
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Ahmed Abdullah et al · 2017
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Krzysztof Geras et al · 2017
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“Stan: a probabilistic programming language”
Bob Carpenter et al · 2017
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“Densely connected convolutional networks”
Gao Huang, Zhuang Liu, Laurens van Maaten and Kilian. Weinberger · 2017
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“Mask R-CNN”
Kaiming He, Georgia Gkioxari, Piotr Dollár and Ross. Girshick · 2017
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“Dermatologist-level classification of skin cancer with deep neural networks”
Andre Esteva et al · 2017
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“Measuring the tendency of CNNs to learn surface statistical regularities”
Jason Jo and Yoshua Bengio · 2017
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Samuel Dodge and Lina Karam · 2017
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“The impact of simulated motion blur on lesion detection performance in full-field digital mammography”
Ahmed Abdullah et al · 2017
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“High-resolution breast cancer screening with multi-view deep convolutional neural networks”
Krzysztof Geras et al · 2017
“Globally-aware multiple instance classifier for breast cancer screening”
Yiqiu Shen et al · 2019
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“Stand-alone artificial intelligence for breast cancer detection in mammography: comparison with 101 radiologists”
Alejandro Rodriguez-Ruiz et al · 2019
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“End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography”
Diego Ardila et al · 2019
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“Association between surgical skin markings in dermoscopic images and diagnostic performance of a deep learning convolutional neural network for melanoma recognition”
Julia Winkler et al · 2019
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Dan Hendrycks and Thomas. Dietterich · 2019
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