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Sam Blackwell
Sam Blackwell
Google DeepMind
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Title
Cited by
Cited by
Year
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
25762018
Protein complex prediction with AlphaFold-Multimer
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ...
biorxiv, 2021.10. 04.463034, 2021
25732021
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
6692015
Advancing mathematics by guiding human intuition with AI
A Davies, P Veličković, L Buesing, S Blackwell, D Zheng, N Tomašev, ...
Nature 600 (7887), 70-74, 2021
5422021
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
3692018
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
2242021
Protein complex prediction with AlphaFold-Multimer. 2022; bioRxiv doi: 10 March 2022, preprint: not peer reviewedhttps
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ...
doi. org/10.1101/2021.10 4, 0
82
Quantum error correction below the surface code threshold
R Acharya, L Aghababaie-Beni, I Aleiner, TI Andersen, M Ansmann, ...
arXiv preprint arXiv:2408.13687, 2024
792024
Learning to decode the surface code with a recurrent, transformer-based neural network
J Bausch, AW Senior, FJH Heras, T Edlich, A Davies, M Newman, ...
arXiv preprint arXiv:2310.05900, 2023
132023
Learning high-accuracy error decoding for quantum processors
J Bausch, AW Senior, FJH Heras, T Edlich, A Davies, M Newman, ...
Nature, 1-7, 2024
82024
Finding increasingly large extremal graphs with alphazero and tabu search
A Mehrabian, A Anand, H Kim, N Sonnerat, M Balog, G Comanici, ...
arXiv preprint arXiv:2311.03583, 2023
52023
A Deep Learning Approach for Characterizing Major Galaxy Mergers
S Koppula, V Bapst, M Huertas-Company, S Blackwell, ...
arXiv preprint arXiv:2102.05182, 2021
32021
Scaling and logic in the color code on a superconducting quantum processor
N Lacroix, A Bourassa, FJH Heras, LM Zhang, J Bausch, AW Senior, ...
arXiv preprint arXiv:2412.14256, 2024
22024
The unknotting number, hard unknot diagrams, and reinforcement learning
T Applebaum, S Blackwell, A Davies, T Edlich, A Juhász, M Lackenby, ...
arXiv preprint arXiv:2409.09032, 2024
22024
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
22019
Clinically applicable deep learning for diagnosis and referral in retinal optical coherence tomography
J De Fauw, J Ledsam, BR Paredes, SN Nikolov, N Tomašev, SJ Blackwell, ...
2018
HIGH VOLUME SYVA EMIT DRUG-TESTING ON MULTIPLE EPOS ANALYZERS INTERFACED TO A CENTRAL COMPUTER-SYSTEM
S LEEDER, S BLACKWELL, D LADD, F YEIN, J CARRICO, C JONES, ...
CLINICAL CHEMISTRY 35 (6), 1166-1166, 1989
1989
Clinically applicable deep learning for diagnosis and referral in retinal disease Mark
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...
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