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 001 (ITS, 2016)

Intelligent Augmented Reality Tutoring for Physical Tasks with Medical Professionals. - Mohammed A. Almiyad; Luke Oakden-Rayner; Amali Weerasinghe; Mark Billinghurst (AIED, 2017)

Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. - Gustavo Carneiro 001; Luke Oakden-Rayner; Andrew P. Bradley; Jacinto C. Nascimento; Lyle J. Palmer (ISBI, 2017)

Detecting hip fractures with radiologist-level performance using deep neural networks. - William Gale; Luke Oakden-Rayner; Gustavo Carneiro 001; Andrew P. Bradley; Lyle J. Palmer (CoRR, 2017)

Producing radiologist-quality reports for interpretable artificial intelligence. - William Gale; Luke Oakden-Rayner; Gustavo Carneiro 001; Andrew P. Bradley; Lyle J. Palmer (CoRR, 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 Deep Learning. - William Gale; Luke Oakden-Rayner; Gustavo Carneiro 001; Lyle J. Palmer; Andrew P. Bradley (ISBI, 2019)

Exploring large scale public medical image datasets. - Luke Oakden-Rayner (CoRR, 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)

Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. - Luke Oakden-Rayner; Jared Dunnmon; Gustavo Carneiro 001; Christopher Ré (CHIL, 2020)

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; et al. (CoRR, 2021)