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 | 2424 | 2018 |
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 | 2140 | 2021 |
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 | 642 | 2015 |
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 | 472 | 2021 |
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 | 355 | 2018 |
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 | 196 | 2021 |
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 | 55 | |
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 | 10 | 2024 |
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 | 8 | 2023 |
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 | 4 | 2023 |
A Deep Learning Approach for Characterizing Major Galaxy Mergers S Koppula, V Bapst, M Huertas-Company, S Blackwell, ... arXiv preprint arXiv:2102.05182, 2021 | 3 | 2021 |
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 | | 2024 |
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 |
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, ... | | |