Dr. Tomasz Morgas Profile

Dr. Tomasz Morgas

at Varian Medical Systems Inc

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Author

Publications (6)

SPIE Journal Paper | 11 November 2020 Open Access

Hippocampus segmentation in CT using deep learning: impact of MR versus CT-based training contours

Annika Hänsch, Jan Moltz, Benjamin Geisler, Christiane Engel, Jan Klein, Angelo Genghi, Jan Schreier, Tomasz Morgas, Benjamin Haas

JMI, Vol. 7, Issue 06, 064001, (November 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.6.064001

KEYWORDS: Computed tomography, Image segmentation, Magnetic resonance imaging, Data modeling, Tolerancing, Image registration, Visibility, Distance measurement, Radiotherapy, Medical imaging

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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 Presentation + Paper

Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentations

Volker Dicken, Annika Hänsch, Jan Moltz, Benjamin Haas, Thomas Coradi, Tomasz Morgas, Jan Klein

Proceedings Volume 10949, 1094914 (2019) https://doi.org/10.1117/12.2512750

KEYWORDS: Visualization, Natural surfaces, Image segmentation, 3D modeling, Statistical analysis, Optical inspection, Error analysis, Data modeling, Visual analytics

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Proceedings Article | 13 March 2019 Paper

Artifact-driven sampling schemes for robust female pelvis CBCT segmentation using deep learning

Annika Hänsch, Volker Dicken, Jan Klein, Tomasz Morgas, Benjamin Haas, Horst Hahn

Proceedings Volume 10950, 109500T (2019) https://doi.org/10.1117/12.2512727

KEYWORDS: Uterus, Bladder, Rectum, Image segmentation, Computed tomography, Neural networks, Radiotherapy

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SPIE Journal Paper | 1 October 2018 Open Access

Evaluation of deep learning methods for parotid gland segmentation from CT images

Annika Hänsch, Michael Schwier, Tobias Gass, Tomasz Morgas, Benjamin Haas, Volker Dicken, Hans Meine, Jan Klein, Horst K. Hahn

JMI, Vol. 6, Issue 01, 011005, (October 2018) https://doi.org/10.1117/12.10.1117/1.JMI.6.1.011005

KEYWORDS: Image segmentation, Neural networks, Computed tomography, Head, Neck, 3D modeling, Data modeling, Radiotherapy, 3D image processing, Distance measurement

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Proceedings Article | 27 February 2018 Paper

Comparison of different deep learning approaches for parotid gland segmentation from CT images

Annika Hänsch, Michael Schwier, Tobias Gass, Tomasz Morgas, Benjamin Haas, Jan Klein, Horst Hahn

Proceedings Volume 10575, 1057519 (2018) https://doi.org/10.1117/12.2292962

KEYWORDS: Image segmentation, Neural networks, Computed tomography, Head, Neck, Radiotherapy, Data modeling

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Showing 5 of 6 publications

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