Name
Affiliation
Papers
ROLF A. HECKEMANN
Imaging Sciences Department, MRC Clinical Sciences Centre, Imperial College at Hammersmith Hospital Campus, Du Cane Road, London W12 0HS, UK
29
Collaborators
Citations 
PageRank 
65
697
43.14
Referers 
Referees 
References 
1945
831
337
Search Limit
1001000
Title
Citations
PageRank
Year
Macroanatomy and 3D probabilistic atlas of the human insula.30.412017
Robust whole-brain segmentation: application to traumatic brain injury.271.402015
Evaluation of several multi-atlas methods for PSEUDO-CT generation in brain MRI-PET attenuation correction10.382015
Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury00.342014
Quantification of opioid receptor availability following spontaneous epileptic seizures: Correction of [11C]diprenorphine PET data for the partial-volume effect.00.342013
Improving whole-brain segmentations through incorporating regional image intensity statistics10.352013
Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease.281.232012
A robust method for investigating thalamic white matter tracts after traumatic brain injury.00.342012
Automatic morphometry in Alzheimer's disease and mild cognitive impairment.281.212011
Random forest-based manifold learning for classification of imaging data in dementia90.652011
Regional analysis of FDG-PET for use in the classification of Alzheimer'S Disease40.492011
A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment00.342011
Investigating the reproducibility of the novel Alpha-5 GABAA receptor PET ligand [11C]Ro15 4513.30.552010
A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T).141.072010
Measurement of hippocampal atrophy using 4D graph-cut segmentation: application to ADNI.471.582010
Reproducibility of thalamic segmentation based on probabilistic tractography.170.922010
Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts10.352010
Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation.482.312010
Segmentation of subcortical structures and the hippocampus in brain MRI using graph-cuts and subject-specific a-priori information130.752009
Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan00.342009
Automatic volumetry on MR brain images can support diagnostic decision making.90.782008
Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest764.012008
Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: a proof-of-principle study.342.952007
Diffeomorphic registration using B-splines.794.722006
Multiclassifier fusion in human brain MR segmentation: modelling convergence50.762006
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion24813.452006
Propagating labels of the human brain based on non-rigid MR image registration: an evaluation10.362005
A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation00.342005
Analysis of serial MR images of joints10.462004