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| 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 | 2211 | 2020 |
| A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis X Liu, L Faes, AU Kale, SK Wagner, DJ Fu, A Bruynseels, T Mahendiran, ... The lancet digital health 1 (6), e271-e297, 2019 | 1373 | 2019 |
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| A probabilistic u-net for segmentation of ambiguous images S Kohl, B Romera-Paredes, C Meyer, J De Fauw, JR Ledsam, ... Advances in neural information processing systems 31, 2018 | 551 | 2018 |
| Effective gene expression prediction from sequence by integrating long-range interactions Ž Avsec, V Agarwal, D Visentin, JR Ledsam, A Grabska-Barwinska, ... Nature methods 18 (10), 1196-1203, 2021 | 508 | 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 | 317 | 2018 |
| Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study L Faes, SK Wagner, DJ Fu, X Liu, E Korot, JR Ledsam, T Back, R Chopra, ... The Lancet Digital Health 1 (5), e232-e242, 2019 | 246 | 2019 |
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| Rapid advances in auto-segmentation of organs at risk and target volumes in head and neck cancer M Kosmin, J Ledsam, B Romera-Paredes, R Mendes, S Moinuddin, ... Radiotherapy and Oncology 135, 130-140, 2019 | 111 | 2019 |
| Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning AV Varadarajan, P Bavishi, P Ruamviboonsuk, P Chotcomwongse, ... Nature communications 11 (1), 130, 2020 | 105 | 2020 |
| Assessing liver function using dynamic Gd‐EOB‐DTPA‐enhanced MRI with a standard 5‐phase imaging protocol K Saito, J Ledsam, S Sourbron, J Otaka, Y Araki, S Akata, K Tokuuye Journal of Magnetic Resonance Imaging 37 (5), 1109-1114, 2013 | 78 | 2013 |
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| Service evaluation of the implementation of a digitally-enabled care pathway for the recognition and management of acute kidney injury A Connell, H Montgomery, S Morris, C Nightingale, S Stanley, M Emerson, ... F1000Research 6, 2017 | 20 | 2017 |
