Rolf A. Heckemann
Rolf A. Heckemann
MedTech West, Institute of Clinical Sciences, University of Gothenburg, Sweden
Verified email at medtechwest.se
Title
Cited by
Cited by
Year
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
9382006
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
8552009
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
6182011
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
3292006
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
3002013
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
2662008
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
2392012
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
1932000
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
1732010
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
1522003
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
1402000
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
1312010
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
1252011
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
1252001
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
1211999
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
1152012
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
1092010
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
1022007
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
962015
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
952007
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