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ORCIDRolf A. Heckemann
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2020 – today
- 2023
[c20]Florian Kofler, Johannes Wahle
, Ivan Ezhov, Sophia J. Wagner, Rami Al-Maskari, Emilia Gryska, Mihail I. Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Ertürk, Daniel Rueckert, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud:
Approaching Peak Ground Truth. ISBI 2023: 1-6- [i2]Florian Kofler, Johannes Wahle, Ivan Ezhov, Sophia J. Wagner, Rami Al-Maskari, Emilia Gryska, Mihail I. Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Ertürk, Daniel Rueckert, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud:
Approaching Peak Ground Truth. CoRR abs/2301.00243 (2023) - [i1]Diana Waldmannstetter, Benedikt Wiestler, Julian Schwarting, Ivan Ezhov, Marie Metz, Spyridon Bakas, Bhakti Baheti, Satrajit Chakrabarty, Jan S. Kirschke, Rolf A. Heckemann, Marie Piraud, Florian Kofler, Bjoern H. Menze:
Framing image registration as a landmark detection problem for better representation of clinical relevance. CoRR abs/2308.01318 (2023) - 2021
- [j21]Meera Srikrishna, Rolf A. Heckemann, Joana B. Pereira, Giovanni Volpe, Anna Zettergren, Silke Kern, Eric Westman, Ingmar Skoog, Michael Schöll:
Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT. Frontiers Comput. Neurosci. 15: 785244 (2021) - [j20]Meera Srikrishna, Joana B. Pereira, Rolf A. Heckemann, Giovanni Volpe, Danielle van Westen, Anna Zettergren, Silke Kern, Lars-Olof Wahlund, Eric Westman, Ingmar Skoog, Michael Schöll:
Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT. NeuroImage 244: 118606 (2021)
2010 – 2019
- 2017
- [j19]Isabelle Faillenot, Rolf A. Heckemann, Maud Frot, Alexander Hammers:
Macroanatomy and 3D probabilistic atlas of the human insula. NeuroImage 150: 88-98 (2017) - 2015
- [j18]Christian Ledig, Rolf A. Heckemann, Alexander Hammers, Juan Carlos López, Virginia F. J. Newcombe, Antonios Makropoulos, Jyrki Lötjönen, David K. Menon, Daniel Rueckert:
Robust whole-brain segmentation: Application to traumatic brain injury. Medical Image Anal. 21(1): 40-58 (2015) - [c19]Inés Mérida, Nicolas Costes, Rolf A. Heckemann, Alexander Drzezga, Stefan Förster, Alexander Hammers:
Evaluation of several multi-atlas methods for PSEUDO-CT generation in brain MRI-PET attenuation correction. ISBI 2015: 1431-1434 - 2014
- [j17]Daniela A. Riaño Barros, Colm J. McGinnity, Lula Rosso, Rolf A. Heckemann, Oliver D. Howes, David J. Brooks, John S. Duncan, Federico E. Turkheimer, Matthias J. Koepp, Alexander Hammers:
Test-retest reproducibility of cannabinoid-receptor type 1 availability quantified with the PET ligand [11C]MePPEP. NeuroImage 97: 151-162 (2014) - [c18]Christian Ledig, Wenzhe Shi, Antonios Makropoulos, Juha Koikkalainen, Rolf A. Heckemann, Alexander Hammers, Jyrki Lötjönen, Olli Tenovuo, Daniel Rueckert:
Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury. ISBI 2014: 673-676 - 2013
- [j16]Katherine R. Gray, Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert:
Random forest-based similarity measures for multi-modal classification of Alzheimer's disease. NeuroImage 65: 167-175 (2013) - [j15]Colm J. McGinnity, Miho Shidahara, Maria Feldmann, Shiva Keihaninejad, Daniela A. Riaño Barros, Ioannis S. Gousias, John S. Duncan, David J. Brooks, Rolf A. Heckemann, Federico E. Turkheimer, Alexander Hammers, Matthias J. Koepp:
Quantification of opioid receptor availability following spontaneous epileptic seizures: Correction of [11C]diprenorphine PET data for the partial-volume effect. NeuroImage 79: 72-80 (2013) - [c17]Christian Ledig, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert:
Improving whole-brain segmentations through incorporating regional image intensity statistics. Medical Imaging: Image Processing 2013: 86691M - 2012
- [j14]Katherine R. Gray, Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Alexander Hammers, Daniel Rueckert:
Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease. NeuroImage 60(1): 221-229 (2012) - [j13]Letizia Squarcina, Alessandra Bertoldo, Timothy E. Ham, Rolf A. Heckemann, David J. Sharp:
A robust method for investigating thalamic white matter tracts after traumatic brain injury. NeuroImage 63(2): 779-788 (2012) - [c16]Christian Ledig, Robin Wolz, Paul Aljabar, Jyrki Lötjönen, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert:
Multi-class brain segmentation using atlas propagation and EM-based refinement. ISBI 2012: 896-899 - 2011
- [j12]Rolf A. Heckemann, Shiva Keihaninejad, Paul Aljabar, Katherine R. Gray, Casper Nielsen, Daniel Rueckert, Joseph V. Hajnal, Alexander Hammers:
Automatic morphometry in Alzheimer's disease and mild cognitive impairment. NeuroImage 56(4): 2024-2037 (2011) - [c15]Rolf A. Heckemann, Shiva Keihaninejad, Paul Aljabar, Katherine R. Gray, Casper Nielsen, Daniel Rueckert, Joseph V. Hajnal, Alexander Hammers:
A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment. ISBI 2011: 875-878 - [c14]Katherine R. Gray, Robin Wolz, Shiva Keihaninejad, Rolf A. Heckemann, Paul Aljabar, Alexander Hammers, Daniel Rueckert:
Regional analysis of FDG-PET for use in the classification of Alzheimer'S Disease. ISBI 2011: 1082-1085 - [c13]Katherine R. Gray, Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert:
Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia. MLMI 2011: 159-166 - [c12]Katherine R. Gray, Robin Wolz, Shiva Keihaninejad, Rolf A. Heckemann, Paul Aljabar, Alexander Hammers, Daniel Rueckert:
Regional Analysis of FDG-PET for the Classification of Alzheimers Disease. MIUA 2011: 305-310 - 2010
- [j11]Shiva Keihaninejad, Rolf A. Heckemann, Gianlorenzo Fagiolo, Mark R. Symms, Joseph V. Hajnal, Alexander Hammers:
A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T). NeuroImage 50(4): 1427-1437 (2010) - [j10]Rolf A. Heckemann, Shiva Keihaninejad, Paul Aljabar, Daniel Rueckert, Joseph V. Hajnal, Alexander Hammers:
Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation. NeuroImage 51(1): 221-227 (2010) - [j9]Catherine R. Traynor, Rolf A. Heckemann, Alexander Hammers, Jonathan O'Muircheartaigh, William R. Crum, Gareth J. Barker, Mark P. Richardson:
Reproducibility of thalamic segmentation based on probabilistic tractography. NeuroImage 52(1): 69-85 (2010) - [j8]Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Jyrki Lötjönen, Daniel Rueckert:
Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI. NeuroImage 52(1): 109-118 (2010) - [j7]Daniela A. Riaño Barros, Rolf A. Heckemann, Lula Rosso, Colm J. McGinnity, Shiva Keihaninejad, Ioannis S. Gousias, David J. Brooks, John S. Duncan, Matthias J. Koepp, Federico E. Turkheimer, Alexander Hammers:
Investigating the reproducibility of the novel Alpha-5 GABAA receptor PET ligand [11C]Ro15 4513. NeuroImage 52(Supplement-1): S112 (2010) - [j6]Colm J. McGinnity, Miho Shidahara, Shiva Keihaninejad, Daniela A. Riaño Barros, Ioannis S. Gousias, Rolf A. Heckemann, David J. Brooks, Matthias J. Koepp, Federico E. Turkheimer, Alexander Hammers:
Correction of [11C]diprenorphine PET data for the partial-volume effect: Quantification of opioid receptor binding following spontaneous epileptic seizures. NeuroImage 52(Supplement-1): S209 (2010) - [c11]Shiva Keihaninejad, Rolf A. Heckemann, Ioannis S. Gousias, Paul Aljabar, Joseph V. Hajnal, Daniel Rueckert, Alexander Hammers:
Automatic volumetry can reveal visually undetected disease features on brain MR images in temporal lobe epilepsy. ISBI 2010: 105-108 - [c10]Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Jyrki Lötjönen, Daniel Rueckert:
Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts. ISBI 2010: 960-963
2000 – 2009
- 2009
- [j5]Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Joseph V. Hajnal, Daniel Rueckert:
Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy. NeuroImage 46(3): 726-738 (2009) - [c9]Robin Wolz, Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert:
Segmentation of Subcortical Structures and the Hippocampus in Brain MRI Using Graph-Cuts and Subject-Specific A-Priori Information. ISBI 2009: 470-473 - [c8]Rolf A. Heckemann, Alexander Hammers, Paul Aljabar, Daniel Rueckert, Joseph V. Hajnal:
The Mirror Method of Assessing Segmentation Quality in Atlas Label Propagation. ISBI 2009: 1191-1194 - [c7]Shiva Keihaninejad, Rolf A. Heckemann, Ioannis S. Gousias, Daniel Rueckert, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers:
Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan. Medical Imaging: Image Processing 2009: 72591A - 2008
- [j4]Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert, Richard I. Aviv, Christopher J. Harvey, Joseph V. Hajnal:
Automatic volumetry on MR brain images can support diagnostic decision making. BMC Medical Imaging 8: 9 (2008) - [j3]Ioannis S. Gousias, Daniel Rueckert, Rolf A. Heckemann, Leigh Dyet, James P. Boardman, A. David Edwards, Alexander Hammers:
Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest. NeuroImage 40(2): 672-684 (2008) - 2007
- [j2]Alexander Hammers, Rolf A. Heckemann, Matthias J. Koepp, John S. Duncan, Joseph V. Hajnal, Daniel Rueckert, Paul Aljabar:
Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: A proof-of-principle study. NeuroImage 36(1): 38-47 (2007) - [c6]Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Joseph V. Hajnal, Daniel Rueckert:
Classifier Selection Strategies for Label Fusion Using Large Atlas Databases. MICCAI (1) 2007: 523-531 - 2006
- [j1]Rolf A. Heckemann, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert, Alexander Hammers:
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion. NeuroImage 33(1): 115-126 (2006) - [c5]Daniel Rueckert, Paul Aljabar, Rolf A. Heckemann, Joseph V. Hajnal, Alexander Hammers:
Diffeomorphic Registration Using B-Splines. MICCAI (2) 2006: 702-709 - [c4]Rolf A. Heckemann, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert, Alexander Hammers:
Multiclassifier Fusion in Human Brain MR Segmentation: Modelling Convergence. MICCAI (2) 2006: 815-822 - 2005
- [c3]Rolf A. Heckemann, Joseph V. Hajnal, Daniel Rueckert, Derek L. G. Hill, Alexander Hammers:
Propagating labels of the human brain based on non-rigid MR image registration: an evaluation. Medical Imaging: Image Processing 2005 - [c2]Jinsong Ren, Beatrix I. Sneller, Daniel Rueckert, Joseph V. Hajnal, Rolf A. Heckemann, Stephen M. Smith, John Vickers, Derek L. G. Hill:
A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation. Medical Imaging: Image Processing 2005 - 2004
- [c1]Kelvin K. Leung, Derek L. G. Hill, Rolf A. Heckemann, Daniel Rueckert, Joseph V. Hajnal, Nadeem Saeed, Keith Brooks, Jacky Buckton, Kumar Changani, David Reid:
Analysis of Serial MR Images of Joints. ISBI 2004: 221-224
Coauthor Index
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