Rolf A. Heckemann

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Alexander HammersSchool of Biomedical Engineering and Imaging Sciences, King's College LondonDirección de correo verificada de kcl.ac.uk
Daniel RueckertTechnical University of Munich and Imperial College LondonDirección de correo verificada de tum.de
Paul AljabarPerspectum DiagnosticsDirección de correo verificada de imperial.ac.uk
Jo HajnalProfessor of Imaging Science, Kings College LondonDirección de correo verificada de kcl.ac.uk
Robert Eckersley(until 2019) Senior Lecturer, King's College LondonDirección de correo verificada de kcl.ac.uk
Federico TurkheimerProfessor of Neuroimaging, King's College LondonDirección de correo verificada de kcl.ac.uk
David J BrooksProfessor of PET Clinical Science Newcastle University UKDirección de correo verificada de newcastle.ac.uk
Alzheimer's Disease Neuroimaging Ini...Dirección de correo verificada de njit.edu
Robin WolzResearch Fellow, Imperial College London. Chief Scientific Officer, IXICO.Dirección de correo verificada de imperial.ac.uk
Christian LedigProfessor of Explainable Machine Learning, University of BambergDirección de correo verificada de uni-bamberg.de
KoeppUCLDirección de correo verificada de ucl.ac.uk
David J SharpDirector Care Research & Technology Centre, UK Dementia Research Institute, Imperial College LondonDirección de correo verificada de imperial.ac.uk
Jyrki LötjönenCombinostics LtdDirección de correo verificada de combinostics.com
Costes NicolasCERMEP, MNI, Mc GillDirección de correo verificada de cermep.fr
Colm J McGinnityKing's College LondonDirección de correo verificada de kcl.ac.uk
A David EdwardsProfessor of Paediatrics and Neonatal Medicine, King's College LondonDirección de correo verificada de kcl.ac.uk
Steve GentlemanImperial College LondonDirección de correo verificada de imperial.ac.uk
Professor James P BoardmanUniversity of EdinburghDirección de correo verificada de ed.ac.uk
Mattia VeroneseAssociate professor in Biomedical Engineering at University of PaduaDirección de correo verificada de unipd.it
Derek HillCEO, Panoramic Digital HealthDirección de correo verificada de ucl.ac.uk

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Rolf A. Heckemann

Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy

Dirección de correo verificada de gu.se

Medical image analysis computational anatomy


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1113	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	1100	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	959	2011
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	483	2013
Diffeomorphic registration using B-splines D Rueckert, P Aljabar, RA Heckemann, JV Hajnal, A Hammers Medical Image Computing and Computer-Assisted Intervention–MICCAI 2006: 9th …, 2006	407	2006
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	368	2008
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	225	2010
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	209	2000
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	195	2012
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	189	2015
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	168	2003
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	156	2011
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	154	2010
Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry database C Ledig, A Schuh, R Guerrero, RA Heckemann, D Rueckert Scientific reports 8 (1), 11258, 2018	142	2018
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	142	2016
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
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	137	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	136	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	133	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	119	2007

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