| Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations CH Sudre, W Li, T Vercauteren, S Ourselin, M Jorge Cardoso Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 2761 | 2017 |
| Attributes and predictors of long COVID CH Sudre, B Murray, T Varsavsky, MS Graham, RS Penfold, RC Bowyer, ... Nature medicine 27 (4), 626-631, 2021 | 2732 | 2021 |
| Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study LH Nguyen, DA Drew, MS Graham, AD Joshi, CG Guo, W Ma, RS Mehta, ... The Lancet Public Health 5 (9), e475-e483, 2020 | 2637 | 2020 |
| Real-time tracking of self-reported symptoms to predict potential COVID-19 C Menni, AM Valdes, MB Freidin, CH Sudre, LH Nguyen, DA Drew, ... Nature medicine 26 (7), 1037-1040, 2020 | 1557 | 2020 |
| Vaccine side-effects and SARS-CoV-2 infection after vaccination in users of the COVID Symptom Study app in the UK: a prospective observational study C Menni, K Klaser, A May, L Polidori, J Capdevila, P Louca, CH Sudre, ... The Lancet Infectious Diseases 21 (7), 939-949, 2021 | 1167 | 2021 |
| Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based, nested, case-control study M Antonelli, RS Penfold, J Merino, CH Sudre, E Molteni, S Berry, ... The Lancet Infectious Diseases 22 (1), 43-55, 2022 | 913 | 2022 |
| Symptom prevalence, duration, and risk of hospital admission in individuals infected with SARS-CoV-2 during periods of omicron and delta variant dominance: a prospective … C Menni, AM Valdes, L Polidori, M Antonelli, S Penamakuri, A Nogal, ... The Lancet 399 (10335), 1618-1624, 2022 | 883 | 2022 |
| NiftyNet: a deep-learning platform for medical imaging E Gibson, W Li, C Sudre, L Fidon, DI Shakir, G Wang, Z Eaton-Rosen, ... Computer methods and programs in biomedicine 158, 113-122, 2018 | 699 | 2018 |
| Illness duration and symptom profile in symptomatic UK school-aged children tested for SARS-CoV-2 E Molteni, CH Sudre, LS Canas, SS Bhopal, RC Hughes, M Antonelli, ... The Lancet Child & Adolescent Health 5 (10), 708-718, 2021 | 472 | 2021 |
| Rapid implementation of mobile technology for real-time epidemiology of COVID-19 DA Drew, LH Nguyen, CJ Steves, C Menni, M Freydin, T Varsavsky, ... Science 368 (6497), 1362-1367, 2020 | 424 | 2020 |
| Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B. 1.1. 7: an ecological study MS Graham, CH Sudre, A May, M Antonelli, B Murray, T Varsavsky, ... The Lancet Public Health 6 (5), e335-e345, 2021 | 369 | 2021 |
| Longitudinal multiple sclerosis lesion segmentation: resource and challenge A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ... NeuroImage 148, 77-102, 2017 | 344 | 2017 |
| Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ... IEEE transactions on medical imaging 38 (11), 2556-2568, 2019 | 306 | 2019 |
| Metrics reloaded: recommendations for image analysis validation L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ... Nature methods 21 (2), 195-212, 2024 | 250* | 2024 |
| Associations between blood pressure across adulthood and late-life brain structure and pathology in the neuroscience substudy of the 1946 British birth cohort (Insight 46): an … CA Lane, J Barnes, JM Nicholas, CH Sudre, DM Cash, TD Parker, ... The Lancet Neurology 18 (10), 942-952, 2019 | 234 | 2019 |
| Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app CH Sudre, KA Lee, M Ni Lochlainn, T Varsavsky, B Murray, MS Graham, ... Science advances 7 (12), eabd4177, 2021 | 218 | 2021 |
| Diet quality and risk and severity of COVID-19: a prospective cohort study J Merino, AD Joshi, LH Nguyen, ER Leeming, M Mazidi, DA Drew, ... Gut 70 (11), 2096-2104, 2021 | 209 | 2021 |
| Bayesian model selection for pathological neuroimaging data applied to white matter lesion segmentation CH Sudre, MJ Cardoso, WH Bouvy, GJ Biessels, J Barnes, S Ourselin IEEE transactions on medical imaging 34 (10), 2079-2102, 2015 | 188 | 2015 |
| Self-reported COVID-19 vaccine hesitancy and uptake among participants from different racial and ethnic groups in the United States and United Kingdom LH Nguyen, AD Joshi, DA Drew, J Merino, W Ma, CH Lo, S Kwon, K Wang, ... Nature communications 13 (1), 636, 2022 | 186 | 2022 |
| Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 185 | 2021 |
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonEmail verificata su kcl.ac.uk