Tristan Gottschalk
Tristan Gottschalk, M. Sc.
Researcher
Martensstr. 3
91058 Erlangen
Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)
Martensstr. 3
91058 Erlangen
- Phone number: +49 9131 85 27874
- Fax number: +49 9131 85 27270
- Email: tristan.gottschalk@fau.de
- Website: https://lme.tf.fau.de/person/gottschalk/
- Since 07/2018:
Researcher at Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nürnberg
in cooperation with Siemens Healthineers, Forchheim - 10/2015 – 05/2018:
Master of Science in Medical Engineering at Friedrich-Alexander-University Erlangen-Nürnberg - 10/2011 – 09/2015:
Bachelor of Science in Medical Engineering at Friedrich-Alexander-University Erlangen-Nürnberg
No projects found.
2021
Journal Articles
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View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT – An Investigation of Potential Improvement
In: Journal Machine Learning for Biomedical Imaging December 2021 issue (2021)
ISSN: 2766-905X
Open Access: https://www.melba-journal.org/pdf/2021:018.pdf
BibTeX: Download
Conference Contributions
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Learning-based Patch-wise Metal Segmentation with Consistency Check
Bildverarbeitung für die Medizin 2021 (Virtual Conference, March 7, 2021 - March 9, 2021)
In: Palm C, Deserno TM, Handels H, Maier A, Maier-Hein K, Tolxdorff T (ed.): Bildverarbeitung für die Medizin 2021, Wiesbaden: 2021
DOI: 10.1007/978-3-658-33198-6_4
BibTeX: Download
2020
Conference Contributions
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Deep Learning Based Metal Inpainting in the Projection Domain using Additional Neighboring Projection Information
The 6th International Conference on Image Formation in X-Ray Computed Tomography (Online Meeting, August 3, 2020 - August 7, 2020)
In: Proceedings of The 6th International Conference on Image Formation in X-Ray Computed Tomography 2020
Open Access: https://www.ct-meeting.org/data/ProceedingsCTMeeting2020.pdf
BibTeX: Download
2019
Book Contributions
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Deep Learning Based Metal Inpainting in the Projection Domain: Initial Results
In: Machine Learning for Medical Image Reconstruction, 2019, p. 125-136
ISBN: 9783030338428
DOI: 10.1007/978-3-030-33843-5_12
BibTeX: Download
2014
Conference Contributions
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Automatic ECG Arrhythmia Detection in Real-Time on Android-based Mobile Devices
MobileMed 2014 (Czech Technical University, Prague)
In: Proceedings of International Conference on Mobile and Information Technologies in Medicine and Health 2014
BibTeX: Download
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