| Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations CH Sudre, W Li, T Vercauteren, S Ourselin, MJ Cardoso Deep learning in medical image analysis and multimodal learning for clinical …, 2017 | 243 | 2017 |
| 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 | 169 | 2018 |
| 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 | 87 | 2017 |
| 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 | 62 | 2015 |
| Template-based multimodal joint generative model of brain data MJ Cardoso, CH Sudre, M Modat, S Ourselin International conference on information processing in medical imaging, 17-29, 2015 | 27 | 2015 |
| White matter hyperintensities are associated with disproportionate progressive hippocampal atrophy CM Fiford, EN Manning, JW Bartlett, DM Cash, IB Malone, GR Ridgway, ... Hippocampus 27 (3), 249-262, 2017 | 24 | 2017 |
| White matter hyperintensities are seen only in GRN mutation carriers in the GENFI cohort CH Sudre, M Bocchetta, D Cash, DL Thomas, I Woollacott, KM Dick, ... NeuroImage: Clinical 15, 171-180, 2017 | 23 | 2017 |
| Study protocol: Insight 46–a neuroscience sub-study of the MRC National Survey of Health and Development CA Lane, TD Parker, DM Cash, K Macpherson, E Donnachie, ... BMC neurology 17 (1), 75, 2017 | 22 | 2017 |
| Relationship of grey and white matter abnormalities with distance from the surface of the brain in multiple sclerosis M Pardini, CH Sudre, F Prados, Ö Yaldizli, V Sethi, N Muhlert, RS Samson, ... Journal of Neurology, Neurosurgery & Psychiatry 87 (11), 1212-1217, 2016 | 20 | 2016 |
| 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 | 19 | 2019 |
| Bullseye's representation of cerebral white matter hyperintensities CH Sudre, BG Anson, I Davagnanam, A Schmitt, AF Mendelson, F Prados, ... Journal of Neuroradiology 45 (2), 114-122, 2018 | 12 | 2018 |
| APOE ε4 status is associated with white matter hyperintensities volume accumulation rate independent of AD diagnosis CH Sudre, MJ Cardoso, C Frost, J Barnes, F Barkhof, N Fox, S Ourselin, ... Neurobiology of aging 53, 67-75, 2017 | 9 | 2017 |
| 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 | 8 | 2019 |
| Longitudinal segmentation of age-related white matter hyperintensities CH Sudre, MJ Cardoso, S Ourselin, ... Medical image analysis 38, 50-64, 2017 | 8 | 2017 |
| 3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects CH Sudre, BG Anson, S Ingala, CD Lane, D Jimenez, L Haider, ... arXiv preprint arXiv:1812.09046, 2018 | 7 | 2018 |
| Clinical phenotype, atrophy, and small vessel disease in APOEε2 carriers with Alzheimer disease C Groot, CH Sudre, F Barkhof, CE Teunissen, BNM van Berckel, SW Seo, ... Neurology 91 (20), e1851-e1859, 2018 | 7 | 2018 |
| Pathological correlates of white matter hyperintensities in a case of progranulin mutation associated frontotemporal dementia IOC Woollacott, M Bocchetta, CH Sudre, BH Ridha, C Strand, R Courtney, ... Neurocase 24 (3), 166-174, 2018 | 7 | 2018 |
| Cardiovascular risk factors and white matter hyperintensities: Difference in susceptibility in South Asians compared with europeans CH Sudre, L Smith, D Atkinson, N Chaturvedi, S Ourselin, F Barkhof, ... Journal of the American Heart Association 7 (21), e010533, 2018 | 6 | 2018 |
| Bayesian model selection for pathological data CH Sudre, MJ Cardoso, W Bouvy, GJ Biessels, J Barnes, S Ourselin International Conference on Medical Image Computing and Computer-Assisted …, 2014 | 6 | 2014 |
| The Meta VCI Map consortium for meta‐analyses on strategic lesion locations for vascular cognitive impairment using lesion‐symptom mapping: Design and multicenter pilot study NA Weaver, L Zhao, JM Biesbroek, HJ Kuijf, HP Aben, HJ Bae, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 11 (C …, 2019 | 5 | 2019 |
M. Jorge CardosoAssociate Professor (Senior Lecturer), King's College LondonVerified email at kcl.ac.uk
