Rolf A. Heckemann

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Alexander HammersSchool of Biomedical Engineering and Imaging Sciences, King's College LondonGeverifieerd e-mailadres voor kcl.ac.uk
Daniel RueckertTechnical University of Munich and Imperial College LondonGeverifieerd e-mailadres voor tum.de
Jo HajnalProfessor of Imaging Science, Kings College LondonGeverifieerd e-mailadres voor kcl.ac.uk
Paul AljabarPerspectum DiagnosticsGeverifieerd e-mailadres voor imperial.ac.uk
Robert Eckersley(until 2019) Senior Lecturer, King's College LondonGeverifieerd e-mailadres voor kcl.ac.uk
David J BrooksProfessor of PET Clinical Science Newcastle University UKGeverifieerd e-mailadres voor newcastle.ac.uk
Alzheimer's Disease Neuroimaging Ini...Geverifieerd e-mailadres voor njit.edu
Robin WolzResearch Fellow, Imperial College London. Chief Scientific Officer, IXICO.Geverifieerd e-mailadres voor imperial.ac.uk
Christian LedigHead of Artificial Intelligence, VideaHealthGeverifieerd e-mailadres voor imperial.ac.uk
KoeppUCLGeverifieerd e-mailadres voor ucl.ac.uk
David J SharpDirector Care Research & Technology Centre, UK Dementia Research Institute, Imperial College LondonGeverifieerd e-mailadres voor imperial.ac.uk
Jyrki LötjönenCombinostics LtdGeverifieerd e-mailadres voor combinostics.com
A David EdwardsProfessor of Paediatrics and Neonatal Medicine, King's College LondonGeverifieerd e-mailadres voor kcl.ac.uk
Costes NCERMEP, MNI, Mc GillGeverifieerd e-mailadres voor cermep.fr
Colm J McGinnityKing's College LondonGeverifieerd e-mailadres voor kcl.ac.uk
Professor James P BoardmanUniversity of EdinburghGeverifieerd e-mailadres voor ed.ac.uk
Philippe RyvlinCHUVGeverifieerd e-mailadres voor chuv.ch
Derek HillCEO, IXICOGeverifieerd e-mailadres voor ixico.com
Subrata BoseMRC Clinical Sciences Centre, Imperial College, King's College, LondonGeverifieerd e-mailadres voor imperial.ac.uk
Kirsi M KinnunenIXICOGeverifieerd e-mailadres voor ixico.com

Rolf A. Heckemann

MedTech West, Institute of Clinical Sciences, University of Gothenburg, Sweden

Geverifieerd e-mailadres voor medtechwest.se

Medical image analysis computational anatomy


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
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	1024	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	961	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	753	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	370	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	369	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	304	2008
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	198	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	192	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	153	2012
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
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	146	2010
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	140	2000
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	135	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	128	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	126	1999
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	124	2015
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	119	2010
Amyloid pathology and axonal injury after brain trauma G Scott, AF Ramlackhansingh, P Edison, P Hellyer, J Cole, M Veronese, ... Neurology 86 (9), 821-828, 2016	110	2016
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	110	2007
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	105	2007

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