Dr. Stefan Heldmann Profile

Dr. Stefan Heldmann

at Fraunhofer MEVIS

SPIE Involvement:

Author

Publications (18)

SPIE Journal Paper | 9 August 2024 Open Access

Generative adversarial network–based reconstruction of healthy anatomy for anomaly detection in brain CT scans

Sina Walluscheck, Annika Gerken, Ivana Galinovic, Kersten Villringer, Jochen Fiebach, Jan Klein, Stefan Heldmann

JMI, Vol. 11, Issue 04, 044508, (August 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.4.044508

KEYWORDS: Education and training, Computed tomography, Brain, Image restoration, Neuroimaging, Medical image reconstruction, Gallium nitride, Anatomy, Image segmentation, Tumors

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SPIE Journal Paper | 30 July 2024 Open Access

Learning three-dimensional aortic root assessment based on sparse annotations

Johanna Brosig, Nina Krüger, Inna Khasyanova, Isaac Wamala, Matthias Ivantsits, Simon Sündermann, Jörg Kempfert, Stefan Heldmann, Anja Hennemuth

JMI, Vol. 11, Issue 04, 044504, (July 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.4.044504

KEYWORDS: 3D mask effects, Image segmentation, Education and training, 3D modeling, Computed tomography, Anatomy, Risk assessment, Reproducibility, Aorta, Neural networks

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Proceedings Article | 3 April 2024 Poster + Paper

Learning 3D aortic root assessment based on sparse annotations

Johanna Brosig, Nina Krüger, Isaac Wamala, Matthias Ivantsits, Simon Sündermann, Jörg Kempfert, Stefan Heldmann, Anja Hennemuth

Proceedings Volume 12927, 129271S (2024) https://doi.org/10.1117/12.3006445

KEYWORDS: Blood vessels, Image segmentation, Aorta, Computed tomography, 3D modeling, Anatomy, Neural networks, Data acquisition, Risk assessment

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Proceedings Article | 2 April 2024 Presentation + Paper

Towards TotalSegmentator for MRI data leveraging GIN data augmentation

Kai Geißler, Daniel Mensing, Markus Wenzel, Jochen Hirsch, Stefan Heldmann

Proceedings Volume 12926, 1292604 (2024) https://doi.org/10.1117/12.3006351

KEYWORDS: Data modeling, Image segmentation, Magnetic resonance imaging, Computed tomography, Bone, Muscles, Performance modeling, Aorta, Convolutional neural networks, Deep learning

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SPIE Journal Paper | 30 November 2023 Open Access

Comparison of consecutive and restained sections for image registration in histopathology

Johannes Lotz, Nick Weiss, Jeroen van der Laak, Stefan Heldmann

JMI, Vol. 10, Issue 06, 067501, (November 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.6.067501

KEYWORDS: Image registration, Deformation, Image resolution, Tissues, Distance measurement, Computation time, Histopathology, Pathology, Image restoration, Visualization

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Proceedings Article | 7 April 2023 Presentation + Paper

Unsupervised learning of healthy anatomy for anomaly detection in brain CT scans

Sina Walluscheck, Luca Canalini, Jan Klein, Stefan Heldmann

Proceedings Volume 12465, 1246504 (2023) https://doi.org/10.1117/12.2653889

KEYWORDS: Computed tomography, Brain, Head, Neuroimaging, Tumors, CT reconstruction, Anatomy, Deep learning, Damage detection

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Proceedings Article | 4 April 2022 Poster + Paper

Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity

Sven Kuckertz, Jan Klein, Christiane Engel, Benjamin Geisler, Stefan Kraß, Stefan Heldmann

Proceedings Volume 12033, 120331Q (2022) https://doi.org/10.1117/12.2613080

KEYWORDS: Tumors, Visualization, Image segmentation, Statistical analysis, Oncology, Computed tomography, Visual analytics, Machine learning, Liver

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

A system for fully automated monitoring of lesion evolution over time in multiple sclerosis

Sven Kuckertz, Florian Weiler, Britta Matusche, Carsten Lukas, Lothar Spies, Jan Klein, Stefan Heldmann

Proceedings Volume 11597, 115972D (2021) https://doi.org/10.1117/12.2582156

KEYWORDS: Visualization, Visual process modeling, Visual analytics, Image segmentation, Image registration, Computing systems, Brain

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Proceedings Article | 10 March 2020 Paper

Deep-learning-based CT-CBCT image registration for adaptive radio therapy

Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann

Proceedings Volume 11313, 113130Q (2020) https://doi.org/10.1117/12.2549531

KEYWORDS: Image segmentation, Image registration, Computed tomography, Bladder, Convolution, Rectum, Uterus, Iterative methods, Distance measurement, Image processing algorithms and systems, Machine learning

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Proceedings Article | 15 March 2019 Paper

Unsupervised learning for large motion thoracic CT follow-up registration

Alessa Hering, Stefan Heldmann

Proceedings Volume 10949, 109491B (2019) https://doi.org/10.1117/12.2506962

KEYWORDS: Image registration, Distance measurement, Lung, Machine learning, Convolution, Image processing, Image segmentation, Computed tomography, Medical imaging

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Proceedings Article | 20 March 2015 Paper

Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study

Jan Rühaak, Alexander Derksen, Stefan Heldmann, Marc Hallmann, Hans Meine

Proceedings Volume 9413, 941337 (2015) https://doi.org/10.1117/12.2081392

KEYWORDS: Image registration, Computed tomography, Skull, Distance measurement, Brain stimulation, Magnetic resonance imaging, Image processing, Electrodes, Brain, Microchannel plates

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Proceedings Article | 20 March 2014 Paper

Zooming in: high resolution 3D reconstruction of differently stained histological whole slide images

Johannes Lotz, Judith Berger, Benedikt Müller, Kai Breuhahn, Niels Grabe, Stefan Heldmann, André Homeyer, Bernd Lahrmann, Hendrik Laue, Janine Olesch, Michael Schwier, Oliver Sedlaczek, Arne Warth

Proceedings Volume 9041, 904104 (2014) https://doi.org/10.1117/12.2043381

KEYWORDS: Image registration, Tissues, Distance measurement, Image resolution, 3D modeling, Tumors, Optical inspection, Reconstruction algorithms, Image segmentation, Lung

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Proceedings Article | 13 March 2013 Paper

Highly accurate fast lung CT registration

Jan Rühaak, Stefan Heldmann, Till Kipshagen, Bernd Fischer

Proceedings Volume 8669, 86690Y (2013) https://doi.org/10.1117/12.2006035

KEYWORDS: Lung, Image registration, Distance measurement, Image segmentation, Computed tomography, Motion analysis, Image resolution, Medical imaging, Radiotherapy, Detection and tracking algorithms

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Proceedings Article | 2 March 2011 Paper

Fast intra-operative non-linear registration of 3D-CT to tracked, selected 2D-ultrasound slices

Janine Olesch, Björn Beuthien, Stefan Heldmann, Nils Papenberg, Bernd Fischer

Proceedings Volume 7964, 79642R (2011) https://doi.org/10.1117/12.878105

KEYWORDS: Liver, Surgery, Distance measurement, Image registration, Rigid registration, Tumors, Image-guided intervention, Visualization, Nanoimprint lithography, Mathematics

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Proceedings Article | 13 March 2010 Paper

Multimodal registration of MR images with a novel least-squares distance measure

Stefan Heldmann

Proceedings Volume 7623, 76230A (2010) https://doi.org/10.1117/12.844466

KEYWORDS: Distance measurement, Image registration, Magnetic resonance imaging, Rigid registration, Radon, Medical imaging, Optimization (mathematics), Neuroimaging, Brain, Image resolution

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Proceedings Article | 13 March 2010 Paper

Volume-constrained image registration for pre- and post-operative CT liver data

Björn Beuthien, Nils Papenberg, Stefan Heldmann, Bernd Fischer

Proceedings Volume 7623, 762339 (2010) https://doi.org/10.1117/12.844260

KEYWORDS: Liver, Image registration, Rigid registration, Computed tomography, Surgery, Distance measurement, Tumors, Safety, Tissues, Complex systems

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Proceedings Article | 27 March 2009 Paper

Elastic registration of multiphase CT images of liver

Stefan Heldmann, Stephan Zidowitz

Proceedings Volume 7259, 72591H (2009) https://doi.org/10.1117/12.811415

KEYWORDS: Distance measurement, Image registration, Liver, Computed tomography, Image segmentation, 3D modeling, Tumors, Image contrast enhancement, Tissues, Medical imaging

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Proceedings Article | 27 March 2009 Paper

Improving an affine and non-linear image registration and/or segmentation task by incorporating characteristics of the displacement field

Konstantin Ens, Stefan Heldmann, Jan Modersitzki, Bernd Fischer

Proceedings Volume 7259, 725932 (2009) https://doi.org/10.1117/12.811139

KEYWORDS: Image registration, Image segmentation, Tumors, Medical imaging, Image processing, Distance measurement, Lung cancer, Nonlinear image processing, Mathematics, Medical research

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Showing 5 of 18 publications

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