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Shortage of labeled data has been holding the surge of deep learning in healthcare back, as sample sizes are often small, patient information cannot be shared openly, and multi-center collaborative studies are a burden to set up.
Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, and Andrew Y. Ng · 1901
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Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, and Andrew Y. Ng · 1901
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HIPAA regulations - A new era of medical-record privacy?
George J. Annas · 2003
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HIPAA regulations - A new era of medical-record privacy?
George J. Annas · 2003
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The HIPAA-potamus in Health Care Data Security
Rebecca T Mercuri · 2004
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The HIPAA-potamus in Health Care Data Security
Rebecca T Mercuri · 2004
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A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning
Ronan Collobert and Jason Weston · 2008
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A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning
Ronan Collobert and Jason Weston · 2008
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ImageNet: A large-scale hierarchical image database
J Deng, W Dong, R Socher, L Li, Kai Li, and Li Fei-Fei · 2009
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Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research
Sharyl J. Nass, Laura A. Levit, and Lawrence O. Gostin · 2009
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ImageNet: A large-scale hierarchical image database
J Deng, W Dong, R Socher, L Li, Kai Li, and Li Fei-Fei · 2009
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Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research
Sharyl J. Nass, Laura A. Levit, and Lawrence O. Gostin · 2009
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
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mHealth data security: the need for HIPAA-compliant standardization
David D Luxton, Robert A Kayl, and Matthew C Mishkind · 2011
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mHealth data security: the need for HIPAA-compliant standardization
David D Luxton, Robert A Kayl, and Matthew C Mishkind · 2011
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Diabetic Retinopathy Detection — Kaggle, 2015
Kaggle Inc · 2015
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Experiments on parallel training of deep neural network using model averaging
Hang Su and Haoyu Chen · 2015
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Diabetic Retinopathy Detection — Kaggle, 2015
Kaggle Inc · 2015
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Experiments on parallel training of deep neural network using model averaging
Hang Su and Haoyu Chen · 2015
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Multi-center machine learning in imaging psychiatry: A meta-model approach
Petr Dluhos, Daniel Schwarz, Wiepke Cahn, Neeltje van Haren, Rene Kahn, Filip Spaniel, Jiri Horacek, Tomas Kasparek, and Hugo Schnack · 2017
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Deep learning for healthcare: review, opportunities and challenges
Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, and Joel T Dudley · 2017
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Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, and Andrew Y. Ng · 2017
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Reducing leakage in distributed deep learning
Praneeth Vepakomma, Otkrist Gupta, Abhimanyu Dubey, and Ramesh Raskar · 2017
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Distributed deep learning networks among institutions for medical imaging
Ken Chang, Niranjan Balachandar, Carson Lam, Darvin Yi, James Brown, Andrew Beers, Bruce Rosen, Daniel L Rubin, and Jayashree Kalpathy-Cramer · 2018
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Jianmin Chen, Rajat Monga, Samy Bengio, and Rafal Józefowicz · 2016
Cited alongside, same era.
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, and Kilian Q Weinberger · 2016
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Federated learning of deep networks using model averaging
H. Brendan McMahan, Eider Moore, Daniel Ramage, and Blaise Agüera y Arcas · 2016
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Revisiting Distributed Synchronous {SGD}
Jianmin Chen, Rajat Monga, Samy Bengio, and Rafal Józefowicz · 2016
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, and Kilian Q Weinberger · 2016
Cited alongside, same era.
Later among the works it cites.
Distributed learning of deep neural network over multiple agents
Otkrist Gupta and Ramesh Raskar · 2018
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It’s all in the timing: calibrating temporal penalties for biomedical data sharing
Weiyi Xia, Zhiyu Wan, Zhijun Yin, James Gaupp, Yongtai Liu, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, and Bradley A Malin · 2018
Later among the works it cites.
Distributed deep learning networks among institutions for medical imaging
Ken Chang, Niranjan Balachandar, Carson Lam, Darvin Yi, James Brown, Andrew Beers, Bruce Rosen, Daniel L Rubin, and Jayashree Kalpathy-Cramer · 2018
Later among the works it cites.
Distributed learning of deep neural network over multiple agents
Otkrist Gupta and Ramesh Raskar · 2018
Later among the works it cites.
It’s all in the timing: calibrating temporal penalties for biomedical data sharing
Weiyi Xia, Zhiyu Wan, Zhijun Yin, James Gaupp, Yongtai Liu, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, and Bradley A Malin · 2018
Later among the works it cites.
Expertmatcher: Automating ml model selection for clients using hidden representations
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, and Ramesh Raskar · 2019
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Detailed comparison of communication efficiency of split learning and federated learning
Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta, and Ramesh Raskar · 2019
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Expertmatcher: Automating ml model selection for clients using hidden representations
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, and Ramesh Raskar · 2019
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Detailed comparison of communication efficiency of split learning and federated learning
Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta, and Ramesh Raskar · 2019
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Artificial intelligence, machine learning and health systems
Trishan Panch, Peter Szolovits, and Rifat Atun · 2047
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Artificial intelligence, machine learning and health systems
Trishan Panch, Peter Szolovits, and Rifat Atun · 2047
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