Luke Oakden-Rayner

14 papers A 1B 1Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Reading Race: AI Recognises Patient's Racial Identity In Medical Images. CoRR 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
2020	—	`conf`	Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. CHIL Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
2019	J	`jnl`	Deep learning predicts hip fracture using confounding patient and healthcare variables. npj Digit. Medicine 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
2019	J	`jnl`	Exploring large scale public medical image datasets. CoRR Luke Oakden-Rayner
2019	J	`jnl`	Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré
2019	—	`conf`	Producing Radiologist-Quality Reports for Interpretable Deep Learning. ISBI William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Lyle J. Palmer, Andrew P. Bradley
2018	J	`jnl`	Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables. CoRR 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
2018	J	`jnl`	Producing radiologist-quality reports for interpretable artificial intelligence. CoRR William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer
2018	J	`jnl`	Towards generative adversarial networks as a new paradigm for radiology education. CoRR Samuel G. Finlayson, Hyunkwang Lee, Isaac S. Kohane, Luke Oakden-Rayner
2017	—	`conf`	Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. ISBI Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer
2017	J	`jnl`	Detecting hip fractures with radiologist-level performance using deep neural networks. CoRR William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer
2017	A	`conf`	Intelligent Augmented Reality Tutoring for Physical Tasks with Medical Professionals. AIED Mohammed A. Almiyad, Luke Oakden-Rayner, Amali Weerasinghe, Mark Billinghurst
2016	J	`jnl`	Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography. CoRR Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer
2016	B	`conf`	CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees. ITS Hope Lee, Amali Weerasinghe, Jayden Barnes, Luke Oakden-Rayner, William Gale, Gustavo Carneiro