Rolf A. Heckemann
Orcid: 0000-0003-3582-3683
According to our database1,
Rolf A. Heckemann
authored at least 42 papers
between 2004 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on soundray.org
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Bibliography
2023
Framing image registration as a landmark detection problem for better representation of clinical relevance.
CoRR, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2021
Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT.
NeuroImage, 2021
Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT.
Frontiers Comput. Neurosci., 2021
2017
2015
Medical Image Anal., 2015
Evaluation of several multi-atlas methods for PSEUDO-CT generation in brain MRI-PET attenuation correction.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Test-retest reproducibility of cannabinoid-receptor type 1 availability quantified with the PET ligand [<sup>11</sup>C]MePPEP.
NeuroImage, 2014
Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Quantification of opioid receptor availability following spontaneous epileptic seizures: Correction of [<sup>11</sup>C]diprenorphine PET data for the partial-volume effect.
NeuroImage, 2013
Random forest-based similarity measures for multi-modal classification of Alzheimer's disease.
NeuroImage, 2013
Improving whole-brain segmentations through incorporating regional image intensity statistics.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
2012
A robust method for investigating thalamic white matter tracts after traumatic brain injury.
NeuroImage, 2012
Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease.
NeuroImage, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
NeuroImage, 2011
Regional Analysis of FDG-PET for the Classification of Alzheimers Disease.
Proceedings of the Medical Image Understanding and Analysis, 2011
Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI.
NeuroImage, 2010
NeuroImage, 2010
Correction of [11C]diprenorphine PET data for the partial-volume effect: Quantification of opioid receptor binding following spontaneous epileptic seizures.
NeuroImage, 2010
A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T).
NeuroImage, 2010
Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation.
NeuroImage, 2010
Investigating the reproducibility of the novel Alpha-5 GABAA receptor PET ligand [11C]Ro15 4513.
NeuroImage, 2010
Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Automatic volumetry can reveal visually undetected disease features on brain MR images in temporal lobe epilepsy.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy.
NeuroImage, 2009
Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Segmentation of Subcortical Structures and the Hippocampus in Brain MRI Using Graph-Cuts and Subject-Specific A-Priori Information.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
NeuroImage, 2008
BMC Medical Imaging, 2008
2007
Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: A proof-of-principle study.
NeuroImage, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
2006
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion.
NeuroImage, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
2005
A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Propagating labels of the human brain based on non-rigid MR image registration: an evaluation.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004