Rolf A. Heckemann
Rolf A. Heckemann
Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Macroanatomy and 3D probabilistic atlas of the human insula
I Faillenot, RA Heckemann, M Frot, A Hammers
NeuroImage 150, 88-98, 2017
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