Luke Oakden-Rayner
According to our database1,
Luke Oakden-Rayner
authored at least 11 papers
between 2016 and 2021.
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Bibliography
2021
2020
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020
2019
Deep learning predicts hip fracture using confounding patient and healthcare variables.
npj Digit. Medicine, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
CoRR, 2018
CoRR, 2018
2017
Detecting hip fractures with radiologist-level performance using deep neural networks.
CoRR, 2017
Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Intelligent Augmented Reality Tutoring for Physical Tasks with Medical Professionals.
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.
Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016