Luke Oakden-Rayner

According to our database, Luke Oakden-Rayner authored at least 11 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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

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

CoRR, 2021

2020

Hidden stratification causes clinically meaningful failures in machine learning for medical imaging.

Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019

Deep learning predicts hip fracture using confounding patient and healthcare variables.

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

npj Digit. Medicine, 2019

Exploring large scale public medical image datasets.

Luke Oakden-Rayner

CoRR, 2019

Producing Radiologist-Quality Reports for Interpretable Deep Learning.

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Towards generative adversarial networks as a new paradigm for radiology education.

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

CoRR, 2018

Producing radiologist-quality reports for interpretable artificial intelligence.

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

CoRR, 2018

2017

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

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

CoRR, 2017

Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography.

Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Intelligent Augmented Reality Tutoring for Physical Tasks with Medical Professionals.

Mohammed A. Almiyad, Luke Oakden-Rayner, Amali Weerasinghe, Mark Billinghurst

Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016

CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees.

Hope Lee, Amali Weerasinghe, Jayden Barnes, Luke Oakden-Rayner, William Gale, Gustavo Carneiro

Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016