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Reading Race: AI Recognises Patient's Racial Identity In Medical Images


Jul 21, 2021
Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P Lungren, Lyle Palmer, Brandon J Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W Gichoya

* Submitted to the Lancet 

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Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging


Sep 27, 2019
Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré


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Exploring large scale public medical image datasets


Jul 30, 2019
Luke Oakden-Rayner

* 9 pages, 5 tables 

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Towards generative adversarial networks as a new paradigm for radiology education


Dec 04, 2018
Samuel G. Finlayson, Hyunkwang Lee, Isaac S. Kohane, Luke Oakden-Rayner

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:cs/0101200 

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Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables


Nov 08, 2018
Marcus A. Badgeley, John R. Zech, Luke Oakden-Rayner, Benjamin S. Glicksberg, Manway Liu, William Gale, Michael V. McConnell, Beth Percha, Thomas M. Snyder, Joel T. Dudley


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Producing radiologist-quality reports for interpretable artificial intelligence


Jun 01, 2018
William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P Bradley, Lyle J Palmer


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Detecting hip fractures with radiologist-level performance using deep neural networks


Nov 17, 2017
William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer

* 6 pages 

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Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography


Jul 01, 2016
Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto Nascimento, Lyle Palmer

* 9 pages 

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