| Automatic anatomical brain MRI segmentation combining label propagation and decision fusion RA Heckemann, JV Hajnal, P Aljabar, D Rueckert, A Hammers NeuroImage 33 (1), 115-126, 2006 | 966 | 2006 |
| Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy P Aljabar, RA Heckemann, A Hammers, JV Hajnal, D Rueckert Neuroimage 46 (3), 726-738, 2009 | 906 | 2009 |
| Inflammation after trauma: microglial activation and traumatic brain injury AF Ramlackhansingh, DJ Brooks, RJ Greenwood, SK Bose, ... Annals of neurology 70 (3), 374-383, 2011 | 668 | 2011 |
| Diffeomorphic registration using B-splines D Rueckert, P Aljabar, RA Heckemann, JV Hajnal, A Hammers International Conference on Medical Image Computing and Computer-Assisted …, 2006 | 348 | 2006 |
| Random forest-based similarity measures for multi-modal classification of Alzheimer's disease KR Gray, P Aljabar, RA Heckemann, A Hammers, D Rueckert, ... NeuroImage 65, 167-175, 2013 | 321 | 2013 |
| Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest IS Gousias, D Rueckert, RA Heckemann, LE Dyet, JP Boardman, ... Neuroimage 40 (2), 672-684, 2008 | 280 | 2008 |
| Confirmation of functional zones within the human subthalamic nucleus: patterns of connectivity and sub-parcellation using diffusion weighted imaging C Lambert, L Zrinzo, Z Nagy, A Lutti, M Hariz, T Foltynie, B Draganski, ... Neuroimage 60 (1), 83-94, 2012 | 262 | 2012 |
| Pulse-inversion mode imaging of liver specific microbubbles: improved detection of subcentimetre metastases CJ Harvey, MJK Blomley, RJ Eckersley, RA Heckemann, J Butler-Barnes, ... The Lancet 355 (9206), 807-808, 2000 | 194 | 2000 |
| Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation RA Heckemann, S Keihaninejad, P Aljabar, D Rueckert, JV Hajnal, ... Neuroimage 51 (1), 221-227, 2010 | 182 | 2010 |
| Liver microbubble transit time compared with histology and Child-Pugh score in diffuse liver disease: a cross sectional study MJK Blomley, AKP Lim, CJ Harvey, N Patel, RJ Eckersley, R Basilico, ... Gut 52 (8), 1188-1193, 2003 | 151 | 2003 |
| Hepatic malignancies: improved detection with pulse-inversion US in late phase of enhancement with SH U 508A—early experience CJ Harvey, MJK Blomley, RJ Eckersley, DO Cosgrove, N Patel, ... Radiology 216 (3), 903-908, 2000 | 139 | 2000 |
| Measurement of hippocampal atrophy using 4D graph-cut segmentation: application to ADNI R Wolz, RA Heckemann, P Aljabar, JV Hajnal, A Hammers, J Lötjönen, ... NeuroImage 52 (1), 109-118, 2010 | 138 | 2010 |
| Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease KR Gray, R Wolz, RA Heckemann, P Aljabar, A Hammers, D Rueckert, ... NeuroImage 60 (1), 221-229, 2012 | 132 | 2012 |
| Automatic morphometry in Alzheimer's disease and mild cognitive impairment RA Heckemann, S Keihaninejad, P Aljabar, KR Gray, C Nielsen, ... Neuroimage 56 (4), 2024-2037, 2011 | 132 | 2011 |
| Do different types of liver lesions differ in their uptake of the microbubble contrast agent SH U 508A in the late liver phase? Early experience MJK Blomley, PS Sidhu, DO Cosgrove, T Albrecht, CJ Harvey, ... Radiology 220 (3), 661-667, 2001 | 125 | 2001 |
| Stimulated acoustic emission to image a late liver and spleen-specific phase of Levovist® in normal volunteers and patients with and without liver disease MJK Blomley, T Albrecht, DO Cosgrove, RJ Eckersley, J Butler-Barnes, ... Ultrasound in medicine & biology 25 (9), 1341-1352, 1999 | 124 | 1999 |
| A robust method to estimate the intracranial volume across MRI field strengths (1.5 T and 3T) S Keihaninejad, RA Heckemann, G Fagiolo, MR Symms, JV Hajnal, ... Neuroimage 50 (4), 1427-1437, 2010 | 113 | 2010 |
| Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: a proof-of-principle study A Hammers, R Heckemann, MJ Koepp, JS Duncan, JV Hajnal, ... Neuroimage 36 (1), 38-47, 2007 | 106 | 2007 |
| Robust whole-brain segmentation: application to traumatic brain injury C Ledig, RA Heckemann, A Hammers, JC Lopez, VFJ Newcombe, ... Medical image analysis 21 (1), 40-58, 2015 | 103 | 2015 |
| Classifier selection strategies for label fusion using large atlas databases P Aljabar, R Heckemann, A Hammers, JV Hajnal, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2007 | 100 | 2007 |
Alexander HammersSchool of Biomedical Engineering and Imaging Sciences, King's College LondonGeverifieerd e-mailadres voor kcl.ac.uk
