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Mustafa Suleyman
Mustafa Suleyman
Co-founder & CEO, Inflection AI
Verified email at inflection.ai - Homepage
Title
Cited by
Cited by
Year
The kinetics human action video dataset
W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ...
arXiv preprint arXiv:1705.06950, 2017
39892017
Teaching machines to read and comprehend
KM Hermann, T Kocisky, E Grefenstette, L Espeholt, W Kay, M Suleyman, ...
Advances in neural information processing systems 28, 2015
38332015
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
22242018
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
21742020
Key challenges for delivering clinical impact with artificial intelligence
CJ Kelly, A Karthikesalingam, M Suleyman, G Corrado, D King
BMC medicine 17, 1-9, 2019
13932019
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
8252019
Massively parallel methods for deep reinforcement learning
A Nair, P Srinivasan, S Blackwell, C Alcicek, R Fearon, A De Maria, ...
arXiv preprint arXiv:1507.04296, 2015
6082015
Learning to transduce with unbounded memory
E Grefenstette, KM Hermann, M Suleyman, P Blunsom
Advances in neural information processing systems 28, 2015
3342015
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
S Nikolov, S Blackwell, A Zverovitch, R Mendes, M Livne, J De Fauw, ...
arXiv preprint arXiv:1809.04430, 2018
3142018
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 26 (6), 892-899, 2020
2232020
Clinically applicable segmentation of head and neck anatomy for radiotherapy: deep learning algorithm development and validation study
S Nikolov, S Blackwell, A Zverovitch, R Mendes, M Livne, J De Fauw, ...
Journal of medical Internet research 23 (7), e26151, 2021
1452021
The kinetics human action video dataset. arXiv 2017
W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ...
arXiv preprint arXiv:1705.06950, 2017
1272017
The kinetics human action video dataset (2017)
W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ...
arXiv preprint arXiv:1705.06950 420, 2017
632017
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records
N Tomašev, N Harris, S Baur, A Mottram, X Glorot, JW Rae, M Zielinski, ...
Nature Protocols 16 (6), 2765-2787, 2021
592021
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
442019
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), 67, 2019
372019
Distributed training of reinforcement learning systems
PD Srinivasan, R Fearon, C Alcicek, AS Nair, S Blackwell, ...
US Patent 10,445,641, 2019
342019
Research priorities for robust and beneficial artificial intelligence: an open letter
S Russell, T Dietterich, E Horvitz, B Selman, F Rossi, D Hassabis, S Legg, ...
AI Magazine 36 (4), 3-4, 2015
342015
Letter to the editor: Research priorities for robust and beneficial artificial intelligence: An open letter
S Russell, T Dietterich, E Horvitz, B Selman, F Rossi, D Hassabis, S Legg, ...
Ai Magazine 36 (4), 3-4, 2015
262015
Reading comprehension neural networks
KM Hermann, T Kocisky, ET Grefenstette, L Espeholt, WT Kay, ...
US Patent 10,628,735, 2020
252020
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