Luke Oakden-Rayner

According to our database1, Luke Oakden-Rayner authored at least 11 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Reading Race: AI Recognises Patient's Racial Identity In Medical Images.
CoRR, 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

Exploring large scale public medical image datasets.
CoRR, 2019

Producing Radiologist-Quality Reports for Interpretable Deep Learning.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Towards generative adversarial networks as a new paradigm for radiology education.
CoRR, 2018

Producing radiologist-quality reports for interpretable artificial intelligence.
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


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