Prof. Andreas Harloff Profile

Prof. Andreas Harloff

at Universitatsklinikum Freiburg

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Author

Publications (4)

SPIE Journal Paper | 12 July 2024 Open Access

Learning carotid vessel wall segmentation in black-blood MRI using sparsely sampled cross-sections from 3D data

Hinrich Rahlfs, Markus Hüllebrand, Sebastian Schmitter, Christoph Strecker, Andreas Harloff, Anja Hennemuth

JMI, Vol. 11, Issue 04, 044503, (July 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.4.044503

KEYWORDS: Image segmentation, Arteries, Education and training, Magnetic resonance imaging, Data modeling, Independent component analysis, Simulation of CCA and DLA aggregates, 3D image processing, Scanners, Performance modeling

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Proceedings Article | 3 April 2024 Presentation + Paper

Learning carotid vessel wall segmentation in black blood MRI using sparsely sampled cross-sections from 3D data

Hinrich Rahlfs, Markus Hüllebrand, Sebastian Schmitter, Christoph Strecker, Andreas Harloff, Anja Hennemuth

Proceedings Volume 12927, 129271P (2024) https://doi.org/10.1117/12.3008294

KEYWORDS: Image segmentation, Magnetic resonance imaging, Education and training, Arteries, Data modeling, Reproducibility, Radiomics, Contour modeling, Atherosclerosis, Anatomy

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SPIE Journal Paper | 24 September 2018

Image-based assessment of uncertainty in quantification of carotid lumen

Lilli Kaufhold, Andreas Harloff, Christian Schumann, Axel Krafft, Juergen Hennig, Anja Hennemuth

JMI, Vol. 5, Issue 03, 034003, (September 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.3.034003

KEYWORDS: Image segmentation, Independent component analysis, Tissues, Simulation of CCA and DLA aggregates, Arteries, Visualization, Image processing algorithms and systems, Angiography, Computed tomography, Image visualization

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Proceedings Article | 2 March 2018 Paper

Image-based assessment of uncertainty in quantification of carotid lumen

Lilli Kaufhold, Andreas Harloff, Christian Schumann, Axel Krafft, Juergen Hennig, Anja Hennemuth

Proceedings Volume 10574, 105742J (2018) https://doi.org/10.1117/12.2293832

KEYWORDS: Image segmentation, Tissues, Arteries, 3D image enhancement, Acquisition tracking and pointing, Image processing algorithms and systems, Visualization, 3D acquisition, Digital imaging

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