Luke Oakden-Rayner
Luke Oakden-Rayner
Australian Institute for Machine Learning. University of Adelaide. Royal Adelaide Hospital.
Verified email at adelaide.edu.au - Homepage
TitleCited byYear
Precision radiology: predicting longevity using feature engineering and deep learning methods in a radiomics framework
L Oakden-Rayner, G Carneiro, T Bessen, JC Nascimento, AP Bradley, ...
Scientific reports 7 (1), 1648, 2017
542017
Detecting hip fractures with radiologist-level performance using deep neural networks
W Gale, L Oakden-Rayner, G Carneiro, AP Bradley, LJ Palmer
arXiv preprint arXiv:1711.06504, 2017
212017
Exploring the ChestXray14 dataset: problems
L Oakden-Rayner
Wordpress: Luke Oakden Rayner, 2017
152017
Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography
G Carneiro, L Oakden-Rayner, AP Bradley, J Nascimento, L Palmer
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
102017
Producing radiologist-quality reports for interpretable artificial intelligence
W Gale, L Oakden-Rayner, G Carneiro, AP Bradley, LJ Palmer
arXiv preprint arXiv:1806.00340, 2018
62018
Medical journals should embrace preprints to address the reproducibility crisis
L Oakden-Rayner, AL Beam, LJ Palmer
International journal of epidemiology 47 (5), 1363-1365, 2018
52018
Towards generative adversarial networks as a new paradigm for radiology education
SG Finlayson, H Lee, IS Kohane, L Oakden-Rayner
arXiv preprint arXiv:1812.01547, 2018
42018
CheXNet: an in-depth review
L Oakden-Rayner
URL: https://lukeoakdenrayner. wordpress. com/2018/01/24/chexnetan-in-depth …, 2018
42018
Exploring large scale public medical image datasets
L Oakden-Rayner
arXiv preprint arXiv:1907.12720, 2019
22019
Reply to the letter to the editor'Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison …
HA Haenssle, C Fink, A Rosenberger, L Uhlmann
Annals of oncology: official journal of the European Society for Medical …, 2019
22019
Deep learning predicts hip fracture using confounding patient and healthcare variables
MA Badgeley, JR Zech, L Oakden-Rayner, BS Glicksberg, M Liu, W Gale, ...
npj Digital Medicine 2 (1), 31, 2019
22019
Artificial Intelligence in Medicine: Validation and Study Design
L Oakden-Rayner, LJ Palmer
Artificial Intelligence in Medical Imaging, 83-104, 2019
22019
Intelligent Augmented Reality Tutoring for Physical Tasks with Medical Professionals
MA Almiyad, L Oakden-Rayner, A Weerasinghe, M Billinghurst
International Conference on Artificial Intelligence in Education, 450-454, 2017
22017
The Rebirth of CAD: How Is Modern AI Different from the CAD We Know?
L Oakden-Rayner
Radiology: Artificial Intelligence 1 (3), e180089, 2019
12019
Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations
S Bacchi, L Oakden-Rayner, T Zerner, T Kleinig, S Patel, J Jannes
Stroke 50 (3), 758-760, 2019
12019
CRISTAL: adapting workplace training to the real world context with an intelligent simulator for radiology trainees
H Lee, A Weerasinghe, J Barnes, L Oakden-Rayner, W Gale, G Carneiro
International Conference on Intelligent Tutoring Systems, 430-435, 2016
12016
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging
L Oakden-Rayner, J Dunnmon, G Carneiro, C Ré
arXiv preprint arXiv:1909.12475, 2019
2019
Deep Learning in the Prediction of Ischaemic Stroke Thrombolysis Functional Outcomes: A Pilot Study
S Bacchi, T Zerner, L Oakden-Rayner, T Kleinig, S Patel, J Jannes
Academic radiology, 2019
2019
Producing Radiologist-Quality Reports for Interpretable Deep Learning.
W Gale, L Oakden-Rayner, G Carneiro, LJ Palmer, AP Bradley
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
2019
8.1 The Validation of AI Technologies in Medicine
L Oakden-Rayner, LJ Palmer
Artificial Intelligence in Medical Imaging: Opportunities, Applications and …, 2018
2018
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Articles 1–20