| 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 | 271 | 2013 |
| Validation of clinical acceptability of an atlas‐based segmentation algorithm for the delineation of organs at risk in head and neck cancer AK Hoang Duc, G Eminowicz, R Mendes, SL Wong, J McClelland, ... Medical physics 42 (9), 5027-5034, 2015 | 68 | 2015 |
| Selection bias in the reported performances of AD classification pipelines AF Mendelson, MA Zuluaga, M Lorenzi, BF Hutton, S Ourselin, ... NeuroImage: Clinical 14, 400-416, 2017 | 42 | 2017 |
| 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 | 35 | 2018 |
| Stability, structure and scale: improvements in multi-modal vessel extraction for SEEG trajectory planning MA Zuluaga, R Rodionov, M Nowell, S Achhala, G Zombori, ... International journal of computer assisted radiology and surgery 10, 1227-1237, 2015 | 32 | 2015 |
| Multimodal image analysis in Alzheimer’s disease via statistical modelling of non-local intensity correlations M Lorenzi, IJ Simpson, AF Mendelson, SB Vos, MJ Cardoso, M Modat, ... Scientific reports 6 (1), 22161, 2016 | 24 | 2016 |
| Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries MA Zuluaga, N Burgos, AF Mendelson, AM Taylor, S Ourselin Medical image analysis 26 (1), 185-194, 2015 | 20 | 2015 |
| Alzheimer’s Disease Neuroimaging I (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 Clin 2, 735-745, 0 | 18 | |
| What is the distribution of the number of unique original items in a bootstrap sample? AF Mendelson, MA Zuluaga, BF Hutton, S Ourselin arXiv preprint arXiv:1602.05822, 2016 | 8 | 2016 |
| Subject-specific models for the analysis of pathological FDG PET data N Burgos, M Jorge Cardoso, AF Mendelson, JM Schott, D Atkinson, ... Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 7 | 2015 |
| The empirical variance estimator for computer aided diagnosis: lessons for algorithm validation AF Mendelson, MA Zuluaga, L Thurfjell, BF Hutton, S Ourselin Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 5 | 2014 |
| Multi-atlas based pathological stratification of D-TGA congenital heart disease MA Zuluaga, A Mendelson, MJ Cardoso, AM Taylor, S Ourselin 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 109-112, 2014 | 4 | 2014 |
| S. Ourselin Multimodal Image Analysis in Alzheimer's Disease via Statistical Modelling of Non-local Intensity Correlations M Lorenzi, IJ Simpson, AF Mendelson, SB Vos, MJ Cardoso, M Modat, ... Scientific Reports 6, 0 | 4 | |
| Improved tractography-based segmentation of the human thalamus C Semedo, MJ Cardoso, SB Vos, AF Mendelson, A Ribbens, D Smeets, ... Proceedings of the International Society for Magnetic Resonance in Medicine, 2017 | 3 | 2017 |
| Bolstering heuristics for statistical validation of prediction algorithms AF Mendelson, MA Zuluaga, BF Hutton, S Ourselin 2015 International Workshop on Pattern Recognition in NeuroImaging, 77-80, 2015 | 3 | 2015 |
| Improving mri brain image classification with anatomical regional kernels J Young, A Mendelson, MJ Cardoso, M Modat, J Ashburner, S Ourselin Machine Learning Meets Medical Imaging: First International Workshop, MLMMI …, 2015 | 3 | 2015 |
| Validating supervised learning approaches to the prediction of disease status in neuroimaging AF Mendelson UCL (University College London), 2017 | 1 | 2017 |
| Counting sub-multisets of fixed cardinality S Ferraris, A Mendelson, G Ballesio, T Vercauteren arXiv preprint arXiv:1511.06142, 2015 | 1 | 2015 |
| A list of publications describing new supervised learning pipelines to predict clinical variables from neuroimaging data in Alzheimer’s disease AF Mendelson | | 2016 |
| P3‐004: Voxel‐based statistical multimodal model of brain atrophy and hypometabolism in Alzheimer's disease M Lorenzi, I Simpson, A Mendelson, JM Cardoso, M Modat, S Ourselin Alzheimer's & Dementia 11 (7S_Part_13), P620-P621, 2015 | | 2015 |
