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Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms

May 29, 2020
Eric Wu, Kevin Wu, William Lotter


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Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

Dec 27, 2019
William Lotter, Abdul Rahman Diab, Bryan Haslam, Jiye G. Kim, Giorgia Grisot, Eric Wu, Kevin Wu, Jorge Onieva Onieva, Jerrold L. Boxerman, Meiyun Wang, Mack Bandler, Gopal Vijayaraghavan, A. Gregory Sorensen


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Conditional Infilling GANs for Data Augmentation in Mammogram Classification

Aug 24, 2018
Eric Wu, Kevin Wu, David Cox, William Lotter

* To appear in MICCAI 2018, Breast Image Analysis Workshop 

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A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception

May 30, 2018
William Lotter, Gabriel Kreiman, David Cox


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A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification

Jul 21, 2017
William Lotter, Greg Sorensen, David Cox

* Accepted to MICCAI 2017 Workshop on Deep Learning in Medical Image Analysis 

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Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

Mar 01, 2017
William Lotter, Gabriel Kreiman, David Cox

* Code and example video clips can be found here: https://coxlab.github.io/prednet/ 

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Unsupervised Learning of Visual Structure using Predictive Generative Networks

Jan 20, 2016
William Lotter, Gabriel Kreiman, David Cox

* under review as conference paper at ICLR 2016 

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