Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast
Cancer Risk Models

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Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models

11 July 2020

Hossein Azizpour

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Papers citing "Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models"

8 / 8 papers shown

Title
Group Normalization Yuxin Wu Kaiming He 247 3,676 0 22 Mar 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks D. Weinshall Gad Cohen Dan Amir ODL 60 245 0 11 Feb 2018
Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography Li Shen L. Margolies J. Rothstein Eugene Fluder R. McBride W. Sieh MedIm 71 767 0 30 Aug 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,877 0 14 Jun 2017
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks Krzysztof J. Geras Stacey Wolfson Yiqiu Shen Nan Wu S. G. Kim Eric Kim Laura Heacock Ujas N Parikh Linda Moy Kyunghyun Cho 70 225 0 21 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 335 20,110 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 465 7,667 0 03 Jul 2012