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Marc Modat
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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
26642021
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
12502010
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
11482021
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
8942022
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
8542022
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
6892018
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
5222011
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
4672021
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
4512018
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
4252015
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
4202014
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
4152022
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
3662021
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
3632014
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
3362011
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
3072009
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
2962013
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
293*2007
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
2812013
An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease
HM Fonteijn, M Modat, MJ Clarkson, J Barnes, M Lehmann, NZ Hobbs, ...
NeuroImage 60 (3), 1880-1889, 2012
2612012
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Articles 1–20