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Trevor Back
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Zitiert von
Jahr
The kinetics human action video dataset
W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ...
arXiv preprint arXiv:1705.06950, 2017
10042017
The kinetics human action video dataset
W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ...
arXiv preprint arXiv:1705.06950, 2017
10042017
Clinically applicable deep learning for diagnosis and referral in retinal disease
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...
Nature medicine 24 (9), 1342-1350, 2018
7552018
International evaluation of an AI system for breast cancer screening
SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ...
Nature 577 (7788), 89-94, 2020
2912020
A clinically applicable approach to continuous prediction of future acute kidney injury
N Tomašev, X Glorot, JW Rae, M Zielinski, H Askham, A Saraiva, ...
Nature 572 (7767), 116-119, 2019
2142019
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
S Nikolov, S Blackwell, R Mendes, J De Fauw, C Meyer, C Hughes, ...
arXiv preprint arXiv:1809.04430, 2018
792018
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study
L Faes, SK Wagner, DJ Fu, X Liu, E Korot, JR Ledsam, T Back, R Chopra, ...
The Lancet Digital Health 1 (5), e232-e242, 2019
382019
Automated analysis of retinal imaging using machine learning techniques for computer vision
J De Fauw, P Keane, N Tomasev, D Visentin, G van den Driessche, ...
F1000Research 5, 2016
372016
Unveiling the predictive power of static structure in glassy systems
V Bapst, T Keck, A Grabska-Barwińska, C Donner, ED Cubuk, ...
Nature Physics 16 (4), 448-454, 2020
222020
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans
C Chu, J De Fauw, N Tomasev, BR Paredes, C Hughes, J Ledsam, ...
F1000Research 5 (2104), 2104, 2016
202016
Service evaluation of the implementation of a digitally-enabled care pathway for the recognition and management of acute kidney injury
A Connell, H Montgomery, S Morris, C Nightingale, S Stanley, M Emerson, ...
F1000Research 6, 2017
132017
Predicting conversion to wet age-related macular degeneration using deep learning
J Yim, R Chopra, T Spitz, J Winkens, A Obika, C Kelly, H Askham, M Lukic, ...
Nature Medicine, 1-8, 2020
112020
Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions
A Connell, H Montgomery, P Martin, C Nightingale, O Sadeghi-Alavijeh, ...
NPJ digital medicine 2 (1), 1-9, 2019
102019
Implementation of a digitally enabled care pathway (part 1): impact on clinical outcomes and associated health care costs
A Connell, R Raine, P Martin, EC Barbosa, S Morris, C Nightingale, ...
Journal of medical Internet research 21 (7), e13147, 2019
62019
Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Healthcare Professionals
A Connell, G Black, H Montgomery, P Martin, C Nightingale, D King, ...
Journal of medical Internet research 21 (7), e13143, 2019
52019
Addendum: International evaluation of an AI system for breast cancer screening
SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ...
Nature 586 (7829), E19-E19, 2020
22020
Unveiling the predictive power of static structure in glassy systems (vol 16, pg 448, 2020)
V Bapst, T Keck, A Grabska-Barwinska, C Donner, ED Cubuk, ...
NATURE PHYSICS 16 (6), 702-702, 2020
12020
Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case Study
N Tomašev, X Glorot, JW Rae, M Zielinski, H Askham, A Saraiva, ...
12019
Feasibility of Automated Deep Learning Design for Medical Image Classification by Healthcare Professionals with Limited Coding Experience
L Faes, SK Wagner, DJ Fu, X Liu, E Korot, JRE Ledsam, T Back, ...
12019
Game Plan: What AI can do for Football, and What Football can do for AI
K Tuyls, S Omidshafiei, P Muller, Z Wang, J Connor, D Hennes, I Graham, ...
arXiv preprint arXiv:2011.09192, 2020
2020
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