05
October
Monday
Inverse Problems and Applications (IPA)
In general, inverse problems are concerned with (1) reconstructing signals from observations and/or (2) controlling systems to a desired effect. Inverse problems occur in a variety of domains and applications, ranging from tomographic reconstruction to particle physics to machine learning. The IPA group is dedicated to identifying and solving such inverse problems with a strong focus on radiological applications:
• Tomographic reconstruction for different modalities under non-optimal conditions
• Rigid and non-rigid motion estimation and correction
• Image quality
• Blood flow analysis
• Ionizing radiation dose estimation and optimization
• Tomographic reconstruction for different modalities under non-optimal conditions
• Rigid and non-rigid motion estimation and correction
• Image quality
• Blood flow analysis
• Ionizing radiation dose estimation and optimization
The goal of this project is the investigation of multimodal methods for the evaluation of interventional workflows in the operation room. This topic will be researched in an international project context with partners in Germany and in Brazil (UNISINOS in Porto Alegre). Methods will be developed to analyze the processes in an OR based on signals from body-worn sensors, cameras and other modalities like X-ray images recorded during the surgeries. For data analysis, techniques from the field of…
Christopher Syben, M. Sc.
- Phone number: +49 9131 85 27874
- Email: christopher.syben@fau.de
Jennifer Maier, M. Sc.
- Phone number: +49 9131 85 27891
- Email: jennifer.maier@fau.de
Lina Felsner, M. Sc.
- Phone number: +49 9131 85 27894
- Email: lina.felsner@fau.de
Maximilian Reymann, M. Sc.
- Phone number: +49 9131 85 28982
- Email: maximilian.reymann@fau.de
Philipp Roser, M. Sc.
- Phone number: +49 9131 85 27874
- Email: philipp.roser@fau.de
SeyedMohammad Jafari, M. Sc.
- Phone number: +49 9131 85 27775
- Email: seyedmohammad.jafari@fau.de
Dr.-Ing. Yixing Huang, Dr.-Ing.
- Phone number: +49 9131 85 25247
- Email: yixing.yh.huang@fau.de
October 2020
12
October
Monday
No event found!
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Viewpoint Planning for Quantitative Coronary Angiography
CARS (Berlin)
In: Computer Assisted Radiology and Surgery Proceedings of the 32nd International Congress and Exhibition, Berlin: 2018
DOI: 10.1007/s11548-018-1766-y
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Preuhs18-VPF.pdf
BibTeX: Download - , , , , , , , :
Symmetry prior for epipolar consistency
In: International Journal of Computer Assisted Radiology and Surgery (2019)
ISSN: 1861-6410
DOI: 10.1007/s11548-019-02027-8
BibTeX: Download - , , , , :
Streak Artifact Reduction in Limited Angle Tomography Using Machine Learning
3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (Magdeburg, Germany, November 6, 2017 - November 7, 2017)
In: 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-SAR.pdf
BibTeX: Download - , , , , , :
Some Investigations on Robustness of Deep Learning in Limited Angle Tomography
21st International Conference on Medical Image Computing & Computer Assisted Intervention (Granada, Spain)
In: Proceedings of the 21st International Conference on Medical Image Computing & Computer Assisted Intervention 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-SIO.pdf
BibTeX: Download - , , , , , :
Deep Image Denoising in SPECT
Annual Congress of the European Association of Nuclear Medicine (Barcelona, October 12, 2019 - October 16, 2019)
In: Springer-Verlag GmbH Germany, part of Springer Nature 2019 (ed.): European Journal of Nuclear Medicine and Molecular Imaging (2019) 46 (Suppl 1): S1–S952, 10.1007/s00259-019-04486-2, Berlin, Heidelberg: 2019
DOI: 10.1007/s00259-019-04486-2
URL: https://link.springer.com/article/10.1007/s00259-019-04486-2
BibTeX: Download
Next Events:
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Contact
Lina Felsner, M. Sc.
- Job title: Researcher
- Address:
Martenstraße 3.
91058 Erlangen - Phone number: +49 9131 85 27894
- Email: lina.felsner@fau.de