Luke Oakden-Rayner

Identifiers

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Papers (5)

1. Towards generative adversarial networks as a new paradigm for radiology education cs.CV · 2018 · author #4
2. Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables cs.CV · 2018 · author #3
3. Producing radiologist-quality reports for interpretable artificial intelligence cs.AI · 2018 · author #2
4. Detecting hip fractures with radiologist-level performance using deep neural networks cs.CV · 2017 · author #2
5. Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography cs.CV · 2016 · author #2

Mentions

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Frequent Coauthors

• Gustavo Carneiro 3 shared papers
• William Gale 3 shared papers
• Andrew P. Bradley 2 shared papers
• Andrew P Bradley 1 shared papers
• Benjamin S. Glicksberg 1 shared papers
• Beth Percha 1 shared papers
• Hyunkwang Lee 1 shared papers
• Isaac S. Kohane 1 shared papers
• Jacinto Nascimento 1 shared papers
• Joel T. Dudley 1 shared papers
• John R. Zech 1 shared papers
• Lyle J Palmer 1 shared papers
• Lyle J. Palmer 1 shared papers
• Lyle Palmer 1 shared papers
• Manway Liu 1 shared papers
• Marcus A. Badgeley 1 shared papers
• Michael V. McConnell 1 shared papers
• Samuel G. Finlayson 1 shared papers
• Thomas M. Snyder 1 shared papers