Ms. Christina Gsaxner Profile

Christina Gsaxner

at Technische Univ Graz

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Author

Publications (14)

Proceedings Article | 10 April 2023 Poster + Paper

A web-based radiomics module for image feature extraction for tumor characterization

Theresa Huebner, Aaron Berger, Daniel Wild, Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Gijs Luijten, Jens Kleesiek, Jan Egger

Proceedings Volume 12469, 124690W (2023) https://doi.org/10.1117/12.2663100

KEYWORDS: Radiomics, Feature extraction, Image segmentation, Tumors, Medical imaging, Data modeling, Medicine, Image analysis, Artificial intelligence, Magnetic resonance imaging

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Proceedings Article | 10 April 2023 Poster + Paper

Multicenter aortic vessel tree extraction using deep learning

Bernhard Scharinger, Antonio Pepe, Yuan Jin, Christina Gsaxner, Jianning Li, Jan Egger

Proceedings Volume 12468, 124681F (2023) https://doi.org/10.1117/12.2656936

KEYWORDS: Image segmentation, Aorta, Tunable filters, Education and training, Deep learning, Convolution, Aneurysms, Voxels, Neural networks, Medicine

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Proceedings Article | 4 April 2022 Poster + Paper

Geometric modeling of aortic dissections through convolution surfaces

Luana Petrelli, Antonio Pepe, Antonella Disanto, Christina Gsaxner, Jianning Li, Yuan Jin, Domenico Buongiorno, Antonio Brunetti, Vitoantonio Bevilacqua, Jan Egger

Proceedings Volume 12037, 120370V (2022) https://doi.org/10.1117/12.2628187

KEYWORDS: Convolution, Image segmentation, Genetic algorithms, Aorta, Visualization, 3D modeling, Medicine, Linear filtering, Natural surfaces, Matrices

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Proceedings Article | 4 April 2022 Poster + Paper

Bringing any medical 3D scan onto augmented reality hardware: a streamlined data pipeline

Paul Ganster, Maximilian Weber, Daniel Wild, Christina Gsaxner, Natalie Schellnegger, Jan Egger

Proceedings Volume 12037, 120370P (2022) https://doi.org/10.1117/12.2612563

KEYWORDS: Augmented reality, Visualization, 3D scanning, 3D displays, Image segmentation, 3D image processing, Medicine, Medical imaging, Data conversion, Computed tomography

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Proceedings Article | 4 April 2022 Poster + Paper

Enhancement of aortic dissections in CT angiography: are common filters robust enough?

Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti, Domenico Buongiorno, Jan Egger, Vitoantonio Bevilacqua

Proceedings Volume 12036, 120362B (2022) https://doi.org/10.1117/12.2628186

KEYWORDS: Image filtering, Image segmentation, Aorta, Image enhancement, Binary data, Image processing algorithms and systems, Angiography, Arteries, Pathology, Medicine

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

A cloud-based centerline algorithm for Studierfenster

Christina Dionysio, Daniel Wild, Antonio Pepe, Christina Gsaxner, Jianning Li, Luis Alvarez, Jan Egger

Proceedings Volume 11601, 1160115 (2021) https://doi.org/10.1117/12.2588268

KEYWORDS: Aorta, Shape analysis, Medical imaging, Computed tomography, Blood vessels, Aneurysms

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Deep learning and particle filter-based aortic dissection vessel tree segmentation

Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Jan Egger

Proceedings Volume 11600, 116001W (2021) https://doi.org/10.1117/12.2588220

KEYWORDS: Particle filters, Image segmentation, Aorta, Particles, Computed tomography, Pathology, Injuries, Detection and tracking algorithms, Angiography

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

An online platform for automatic skull defect restoration and cranial implant design

Jianning Li, Antonio Pepe, Christina Gsaxner, Jan Egger

Proceedings Volume 11598, 115981Q (2021) https://doi.org/10.1117/12.2580719

KEYWORDS: Skull, System integration, Surgery, 3D modeling, Medical imaging applications, Medical imaging, Manufacturing, Imaging systems, Image processing, 3D printing

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Proceedings Article | 15 February 2021 Presentation + Paper

A web client-based online DICOM browser and NRRD converter for Studierfenster

Christopher Ramirez Bedoya, Daniel Wild, Antonio Pepe, Christina Gsaxner, Jianning Li, Jan Egger

Proceedings Volume 11601, 116010P (2021) https://doi.org/10.1117/12.2580716

KEYWORDS: Data conversion, Data communications, Raster graphics, Medicine, Medical imaging, Image processing, Digital imaging, Computer architecture, 3D image processing

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Proceedings Article | 16 March 2020 Paper

A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data

Jan Egger, Simon Gunacker, Antonio Pepe, Gian Marco Melito, Christina Gsaxner, Jianning Li, Katrin Ellermann, Xiaojun Chen

Proceedings Volume 11315, 1131531 (2020) https://doi.org/10.1117/12.2559239

KEYWORDS: Virtual reality, Visualization, Blood, Aorta, Computed tomography, 3D modeling, Medicine, Endoscopy, Blood circulation, Medical research

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Proceedings Article | 28 February 2020 Presentation + Paper

IRIS: interactive real-time feedback image segmentation with deep learning

Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Xiaojun Chen, Thomas-Peter Fries, Jan Egger

Proceedings Volume 11317, 113170R (2020) https://doi.org/10.1117/12.2551354

KEYWORDS: Image segmentation, Aorta, 3D displays, 3D vision, IRIS Consortium, Pathology, Visualization, Arteries, Computed tomography, 3D image processing

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Proceedings Article | 12 March 2018 Paper

Lower jawbone data generation for deep learning tools under MeVisLab

Birgit Pfarrkirchner, Christina Gsaxner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger

Proceedings Volume 10578, 105782O (2018) https://doi.org/10.1117/12.2292708

KEYWORDS: Image segmentation, Computed tomography, Neural networks, Medical imaging, Surgery, X-ray computed tomography, Image processing, 3D modeling, Binary data, Medicine

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Proceedings Article | 12 March 2018 Paper

Exploit 18F-FDG enhanced urinary bladder in PET data for deep learning ground truth generation in CT scans

Christina Gsaxner, Birgit Pfarrkirchner, Lydia Lindner, Norbert Jakse, Jürgen Wallner, Dieter Schmalstieg, Jan Egger

Proceedings Volume 10578, 105781Z (2018) https://doi.org/10.1117/12.2292706

KEYWORDS: Image segmentation, Positron emission tomography, Bladder, Computed tomography, Binary data, Medical imaging, Image processing algorithms and systems, Neural networks, Databases, Visualization

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Proceedings Article | 6 March 2018 Paper

TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches

Lydia Lindner, Birgit Pfarrkirchner, Christina Gsaxner, Dieter Schmalstieg, Jan Egger

Proceedings Volume 10579, 105791C (2018) https://doi.org/10.1117/12.2315704

KEYWORDS: Tumors, Magnetic resonance imaging, Brain, Neuroimaging, Image segmentation, Medical imaging, Medicine, Image processing, Neural networks, Data modeling

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Showing 5 of 14 publications

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