| Faciobrachial dystonic seizures: the influence of immunotherapy on seizure control and prevention of cognitive impairment in a broadening phenotype SR Irani, CJ Stagg, JM Schott, CR Rosenthal, SA Schneider, P Pettingill, ... Brain 136 (10), 3151-3162, 2013 | 282 | 2013 |
| 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 | 259 | 2017 |
| 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 | 255 | 2015 |
| 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 | 193 | 2013 |
| 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 | 187 | 2014 |
| 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 | 177 | 2018 |
| 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 | 173 | 2013 |
| Serum neurofilament light chain protein is a measure of disease intensity in frontotemporal dementia JD Rohrer, IOC Woollacott, KM Dick, E Brotherhood, E Gordon, A Fellows, ... Neurology 87 (13), 1329-1336, 2016 | 159 | 2016 |
| 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 | 152 | 2015 |
| A comparison of voxel and surface based cortical thickness estimation methods MJ Clarkson, MJ Cardoso, GR Ridgway, M Modat, KK Leung, JD Rohrer, ... Neuroimage 57 (3), 856-865, 2011 | 133 | 2011 |
| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 120 | 2018 |
| On the compactness, efficiency, and representation of 3D convolutional networks: brain parcellation as a pretext task W Li, G Wang, L Fidon, S Ourselin, MJ Cardoso, T Vercauteren International conference on information processing in medical imaging, 348-360, 2017 | 109 | 2017 |
| Right ventricle segmentation from cardiac MRI: a collation study C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ... Medical image analysis 19 (1), 187-202, 2015 | 109 | 2015 |
| LoAd: A locally adaptive cortical segmentation algorithm MJ Cardoso, MJ Clarkson, GR Ridgway, M Modat, NC Fox, S Ourselin NeuroImage 56 (3), 1386-97, 2011 | 103 | 2011 |
| A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients CN Ladefoged, I Law, U Anazodo, KS Lawrence, D Izquierdo-Garcia, ... Neuroimage 147, 346-359, 2017 | 95 | 2017 |
| 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 | 90 | 2017 |
| Development of patient-specific biomechanical models for predicting large breast deformation L Han, JH Hipwell, C Tanner, Z Taylor, T Mertzanidou, J Cardoso, ... Physics in Medicine & Biology 57 (2), 455, 2011 | 86 | 2011 |
| An unbiased longitudinal analysis framework for tracking white matter changes using diffusion tensor imaging with application to Alzheimer's disease S Keihaninejad, H Zhang, NS Ryan, IB Malone, M Modat, MJ Cardoso, ... Neuroimage 72, 153-163, 2013 | 83 | 2013 |
| AdaPT: an adaptive preterm segmentation algorithm for neonatal brain MRI MJ Cardoso, A Melbourne, GS Kendall, M Modat, NJ Robertson, ... NeuroImage 65, 97-108, 2013 | 75 | 2013 |
| Multi-atlas propagation whole heart segmentation from MRI and CTA using a local normalised correlation coefficient criterion MA Zuluaga, MJ Cardoso, M Modat, S Ourselin International Conference on Functional Imaging and Modeling of the Heart …, 2013 | 72 | 2013 |
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonVerified email at kcl.ac.uk
