Trevor Back
Trevor Back
DeepMind
Verified email at deepmind.com
TitleCited byYear
The kinetics human action video dataset
W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ...
arXiv preprint arXiv:1705.06950, 2017
5782017
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
3832018
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
462019
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
332018
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
292016
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
142016
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
122017
The kinetics human action video dataset (2017)
W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ...
arXiv preprint arXiv:1705.06950, 2017
92017
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
52020
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
52019
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
42019
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
32019
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
32019
International evaluation of an AI system for breast cancer screening
F Gilbert, S Mayer Mckinney, M Sieniek, V Godbole, J Godwin, ...
Springer Nature, 2019
2019
Diagnostic accuracy and interobserver variability of macular disease evaluation using optical coherence tomography
SK Wagner, R Chopra, JR Ledsam, H Askham, S Blackwell, L Faes, ...
Investigative Ophthalmology & Visual Science 60 (9), 1849-1849, 2019
2019
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, ...
2019
Generalizable medical image analysis using segmentation and classification neural networks
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...
US Patent 10,198,832, 2019
2019
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