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), 1-13, 2017
592017
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
322017
Exploring the ChestXray14 dataset: problems
L Oakden-Rayner
Wordpress: Luke Oakden Rayner, 2017
172017
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
122017
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
9*2019
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
72018
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), 1-10, 2019
52019
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
CheXNet: an in-depth review
L Oakden-Rayner
URL: https://lukeoakdenrayner. wordpress. com/2018/01/24/chexnetan-in-depth …, 2018
52018
Exploring Large-scale Public Medical Image Datasets
L Oakden-Rayner
Academic radiology 27 (1), 106-112, 2020
42020
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
42019
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
32019
The rebirth of CAD: how is modern AI different from the CAD we know?
L Oakden-Rayner
Radiology: artificial intelligence 1 (3), e180089, 2019
32019
Reply to ‘Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists …
L Oakden-Rayner
Annals of Oncology 30 (5), 854, 2019
32019
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
32017
Artificial intelligence in medicine: validation and study design
L Oakden-Rayner, LJ Palmer
Artificial Intelligence in Medical Imaging, 83-104, 2019
22019
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
Deep learning in the detection of high-grade glioma recurrence using multiple MRI sequences: A pilot study
S Bacchi, T Zerner, J Dongas, AT Asahina, A Abou-Hamden, S Otto, ...
Journal of Clinical Neuroscience 70, 11-13, 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
Thank you for the opportunity to describe in more detail the methodology of our study [1]. First, Dr Oakden-Rayner mentioned that a comparison of the CNN ROC-AUC with the …
L Oakden-Rayner
Ann Oncol 29, 1836-1842, 2018
2018
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