| 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 | 2907 | 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 | 2872 | 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 | 2702 | 2020 |
| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge arXiv preprint arXiv:1811.02629, 2018 | 2166 | 2018 |
| The future of digital health with federated learning N Rieke, J Hancox, W Li, F Milletari, HR Roth, S Albarqouni, S Bakas, ... NPJ digital medicine 3 (1), 1-7, 2020 | 2019 | 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 | 1574 | 2020 |
| Fast free-form deformation using graphics processing units M Modat, GR Ridgway, ZA Taylor, M Lehmann, J Barnes, DJ Hawkes, ... Computer methods and programs in biomedicine 98 (3), 278-284, 2010 | 1291 | 2010 |
| 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 | 1193 | 2021 |
| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022 | 1089 | 2022 |
| Interactive medical image segmentation using deep learning with image-specific fine tuning G Wang, W Li, MA Zuluaga, R Pratt, PA Patel, M Aertsen, T Doel, ... IEEE transactions on medical imaging 37 (7), 1562-1573, 2018 | 941 | 2018 |
| 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 | 938 | 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 | 919 | 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 | 714 | 2018 |
| Reconstructing a 3D structure from serial histological sections S Ourselin, A Roche, G Subsol, X Pennec, N Ayache Image and vision computing 19 (1-2), 25-31, 2001 | 698 | 2001 |
| Automatic brain tumor segmentation using cascaded anisotropic convolutional neural networks G Wang, W Li, S Ourselin, T Vercauteren Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 684 | 2018 |
| Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks G Wang, W Li, M Aertsen, J Deprest, S Ourselin, T Vercauteren Neurocomputing 338, 34-45, 2019 | 668 | 2019 |
| Privacy-preserving federated brain tumour segmentation W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 626 | 2019 |
| Head size, age and gender adjustment in MRI studies: a necessary nuisance? J Barnes, GR Ridgway, J Bartlett, SMD Henley, M Lehmann, N Hobbs, ... Neuroimage 53 (4), 1244-1255, 2010 | 592 | 2010 |
| Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis JD Rohrer, JM Nicholas, DM Cash, J Van Swieten, E Dopper, L Jiskoot, ... The Lancet Neurology 14 (3), 253-262, 2015 | 591 | 2015 |
| Risk of long COVID associated with delta versus omicron variants of SARS-CoV-2 M Antonelli, JC Pujol, TD Spector, S Ourselin, CJ Steves The Lancet 399 (10343), 2263-2264, 2022 | 583 | 2022 |
M. Jorge CardosoReader, King's College Londonkcl.ac.uk의 이메일 확인됨
