Dr. Rolf A. Heckemann Profile

Dr. Rolf A. Heckemann

Professor at Göteborgs Univ

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Author

Publications (4)

Proceedings Article | 20 August 2020 Presentation

Deep learning-based human CT brain segmentation using MR derived labels

Meera Srikrishna, Joana Periera Periera, Rolf Heckemann, Giovanni Volpe, Anna Zettergren, Silke Kern, Eric Westman, Ingmar Skoog, Michael Schöll

Proceedings Volume 11469, 114690V (2020) https://doi.org/10.1117/12.2567269

KEYWORDS: Computed tomography, Brain, Tissues, Neuroimaging, Image segmentation, Magnetic resonance imaging, Quantitative analysis, Analytical research, Visualization, Data modeling

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Proceedings Article | 27 March 2009 Paper

Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan

Shiva Keihaninejad, Rolf Heckemann, Ioannis Gousias, Daniel Rueckert, Paul Aljabar, Joseph Hajnal, Alexander Hammers

Proceedings Volume 7259, 72591A (2009) https://doi.org/10.1117/12.811429

KEYWORDS: Brain, Image segmentation, Magnetic resonance imaging, Neuroimaging, Tissues, Image registration, Scanners, Brain mapping, Epilepsy, Image fusion

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Proceedings Article | 29 April 2005 Paper

A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation

Jinsong Ren, Beatrix Sneller, Daniel Rueckert, Joseph Hajnal, Rolf Heckemann, Stephen Smith, John Vickers, Derek Hill

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.595146

KEYWORDS: Image segmentation, Tissues, Brain, Image classification, Neuroimaging, Image registration, Magnetic resonance imaging, Scanners, Image processing algorithms and systems, Image restoration

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Proceedings Article | 29 April 2005 Paper

Propagating labels of the human brain based on non-rigid MR image registration: an evaluation

Rolf Heckemann, Joseph Hajnal, Daniel Rueckert, Derek Hill, Alexander Hammers

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.597069

KEYWORDS: Image segmentation, Brain, Image registration, Neuroimaging, Magnetic resonance imaging, Medical imaging, Image processing, Statistical analysis, 3D image processing, Magnetism

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