Luke Oakden-Rayner

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 14

Top Topics

Computed Tomography

Medical Image Segmentation

Top Venues

Publications

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 J. 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
Reading Race: AI Recognises Patient's Racial Identity In Medical Images. CoRR (2021)
Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. CHIL (2020)
Marcus A. Badgeley, John R. Zech, Luke Oakden-Rayner, Benjamin S. Glicksberg, Manway Liu, William Gale, Michael V. McConnell, Bethany Percha, Thomas M. Snyder, Joel T. Dudley
Deep learning predicts hip fracture using confounding patient and healthcare variables. npj Digit. Medicine 2 (2019)
William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Lyle J. Palmer, Andrew P. Bradley
Producing Radiologist-Quality Reports for Interpretable Deep Learning. ISBI (2019)
Luke Oakden-Rayner
Exploring large scale public medical image datasets. CoRR (2019)
Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR (2019)
Samuel G. Finlayson, Hyunkwang Lee, Isaac S. Kohane, Luke Oakden-Rayner
Towards generative adversarial networks as a new paradigm for radiology education. CoRR (2018)
William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer
Producing radiologist-quality reports for interpretable artificial intelligence. CoRR (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
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables. CoRR (2018)
William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer
Detecting hip fractures with radiologist-level performance using deep neural networks. CoRR (2017)
Mohammed A. Almiyad, Luke Oakden-Rayner, Amali Weerasinghe, Mark Billinghurst
Intelligent Augmented Reality Tutoring for Physical Tasks with Medical Professionals. AIED (2017)
Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer
Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. ISBI (2017)
Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer
Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography. CoRR (2016)
Hope Lee, Amali Weerasinghe, Jayden Barnes, Luke Oakden-Rayner, William Gale, Gustavo Carneiro
CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees. ITS (2016)