| 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 | 2554 | 2021 |
| 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 | 1222 | 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 | 1102 | 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 | 857 | 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 | 797 | 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 | 673 | 2018 |
| Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ... IEEE transactions on medical imaging 30 (11), 1901-1920, 2011 | 511 | 2011 |
| 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 | 457 | 2021 |
| Weakly-supervised convolutional neural networks for multimodal image registration Y Hu, M Modat, E Gibson, W Li, N Ghavami, E Bonmati, G Wang, ... Medical image analysis 49, 1-13, 2018 | 430 | 2018 |
| Geodesic information flows: spatially-variant graphs and their application to segmentation and fusion MJ Cardoso, M Modat, R Wolz, A Melbourne, D Cash, D Rueckert, ... IEEE transactions on medical imaging 34 (9), 1976-1988, 2015 | 415 | 2015 |
| Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies N Burgos, MJ Cardoso, K Thielemans, M Modat, S Pedemonte, J Dickson, ... IEEE transactions on medical imaging 33 (12), 2332-2341, 2014 | 409 | 2014 |
| 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 | 359 | 2021 |
| Global image registration using a symmetric block-matching approach M Modat, DM Cash, P Daga, GP Winston, JS Duncan, S Ourselin Journal of medical imaging 1 (2), 024003-024003, 2014 | 353 | 2014 |
| The importance of appropriate partial volume correction for PET quantification in Alzheimer’s disease BA Thomas, K Erlandsson, M Modat, L Thurfjell, R Vandenberghe, ... European journal of nuclear medicine and molecular imaging 38, 1104-1119, 2011 | 332 | 2011 |
| Monai: An open-source framework for deep learning in healthcare MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2022 | 313 | 2022 |
| Patterns of cortical thinning in the language variants of frontotemporal lobar degeneration JD Rohrer, JD Warren, M Modat, GR Ridgway, A Douiri, MN Rossor, ... Neurology 72 (18), 1562-1569, 2009 | 305 | 2009 |
| STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation MJ Cardoso, K Leung, M Modat, S Keihaninejad, D Cash, J Barnes, ... Medical image analysis 17 (6), 671-684, 2013 | 295 | 2013 |
| Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment J Young, M Modat, MJ Cardoso, A Mendelson, D Cash, S Ourselin, ... NeuroImage: Clinical 2, 735-745, 2013 | 276 | 2013 |
| Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): preface M Okada, I Satoh Lecture notes in computer science (including subseries lecture notes in …, 2007 | 261* | 2007 |
| Distinct profiles of brain atrophy in frontotemporal lobar degeneration caused by progranulin and tau mutations JD Rohrer, GR Ridgway, M Modat, S Ourselin, S Mead, NC Fox, ... Neuroimage 53 (3), 1070-1076, 2010 | 257 | 2010 |
Sebastien OurselinProfessor of Healthcare Engineering, King's College London在 kcl.ac.uk 的电子邮件经过验证
