| Highly accurate protein structure prediction with AlphaFold J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ... nature 596 (7873), 583-589, 2021 | 35783 | 2021 |
| Highly accurate protein structure prediction for the human proteome K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ... Nature 596 (7873), 590-596, 2021 | 2729 | 2021 |
| 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 | 2718 | 2018 |
| Applying and improving AlphaFold at CASP14 J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ... Proteins: Structure, Function, and Bioinformatics 89 (12), 1711-1721, 2021 | 399 | 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 | 380 | 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 | 245 | 2021 |
| High accuracy protein structure prediction using deep learning J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ... Fourteenth critical assessment of techniques for protein structure …, 2020 | 167 | 2020 |
| A latent source model for nonparametric time series classification GH Chen, S Nikolov, D Shah Advances in neural information processing systems 26, 2013 | 89 | 2013 |
| Computational predictions of protein structures associated with COVID-19 AFT J Jumper, Kathryn Tunyasuvunakool, P Kohli, D Hassabis DeepMind Website, 2020 | 73* | 2020 |
| Trend or no trend: a novel nonparametric method for classifying time series S Nikolov Massachusetts Institute of Technology, 2012 | 60 | 2012 |
| AlphaFold 2 Fourteenth Critical Assessment of Techniques for Protein Structure Prediction, 2020 | 46* | 2020 |
| A nonparametric method for early detection of trending topics S Nikolov, D Shah Proceedings of the Interdisciplinary Workshop on Information and Decision in …, 2012 | 17 | 2012 |
| 3-D convolutional neural networks for organ segmentation in medical images for radiotherapy planning S Nikolov, S Blackwell, J De Fauw, B Romera-Paredes, CL Meyer, ... US Patent 11,100,647, 2021 | 11 | 2021 |
| Generalizable medical image analysis using segmentation and classification neural networks J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ... US Patent 10,878,601, 2020 | 10 | 2020 |
| Probabilistic model of onset detection explains paradoxes in human time perception S Nikolov, DA Rahnev, HC Lau Frontiers in Psychology 1, 37, 2010 | 8 | 2010 |
| From language games to drawing games C Fernando, D Zenkova, S Nikolov, S Osindero arXiv preprint arXiv:2010.02820, 2020 | 5 | 2020 |
| 3-D convolutional neural networks for organ segmentation in medical images for radiotherapy planning S Nikolov, S Blackwell, J De Fauw, B Romera-Paredes, CL Meyer, ... US Patent 11,676,281, 2023 | 3 | 2023 |
| 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 |
| 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 |
| Control of Underactuated Vehicular Traffic S Nikolov | | 2012 |
