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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 | 340 | 2018 |
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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 | 65 | 2021 |
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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, ... | 2 | 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 11,954,902, 2024 | 1 | 2024 |
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Prediction of future adverse health events using neural networks by pre-processing input sequences to include presence features N Tomasev, X Glorot, JW Rae, M Zielinski, A Mottram, H Askham, ... US Patent 11,302,446, 2022 | | 2022 |
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