Roman Schaffert
Roman Schaffert, M. Sc.
Academic CV
- Since 08/2015:
Ph.D. student at Pattern Recognition Lab, Friedrich-Alexander University - 04/2013 – 07/2015:
M.Sc. student in Biomedical Engineering, Friedrich-Alexander University - 10/2009 – 05/2013:
B.Sc. student in Biomedical Engineering, Friedrich-Alexander University
Working Experience
- 03/2013 – 10/2014:
Working Student, Siemens Healthcare GmbH, Forchheim - 02/2013 – 03/2013:
Intership, Siemens Healthcare GmbH, Forchheim - 11/2011 – 01/2013:
Working Student, Metrilus GmbH, Erlangen - 08/2011 – 09/2011:
Intership, Metrilus GmbH, Erlangen - 11/2010 – 08/2011:
Working Student, Metrilus GmbH, Erlangen
Projects
- Since 08/2015:
2-D/3-D registration at AG Group of Siemens Healthineers.
Publications
2022
Conference Contributions
Form Follows Function: Smart Network Design Enables Zero-shot Network Reuse
German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_26
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2021
Journal Articles
“Keep it simple, scholar”: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging
In: International Journal of Computer Assisted Radiology and Surgery (2021)
ISSN: 1861-6410
DOI: 10.1007/s11548-021-02340-1
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2020
Journal Articles
Learning an Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences
In: IEEE Transactions on Medical Imaging 39 (2020), p. 3159-3174
ISSN: 0278-0062
DOI: 10.1109/TMI.2020.2988410
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Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model
In: IEEE Transactions on Medical Imaging 39 (2020), p. 161-174
ISSN: 0278-0062
DOI: 10.1109/TMI.2019.2922931
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Conference Contributions
Learning-based correspondence estimation for 2-D/3-D registration
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, DEU, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_50
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Learning-based misalignment detection for 2-D/3-D overlays
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_52
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2019
Conference Contributions
A Divide-and-Conquer Approach towards Understanding Deep Networks
MICCAI 2019 (Shenzhen, China, October 13, 2019 - October 17, 2019)
In: Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (ed.): Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen: 2019
DOI: 10.1007/978-3-030-32239-7_21
URL: https://link.springer.com/chapter/10.1007/978-3-030-32239-7_21
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Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration
40th German Conference on Pattern Recognition, GCPR 2018 (Stuttgart, October 9, 2018 - October 12, 2018)
In: Thomas Brox, Mario Fritz, Andrés Bruhn (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
DOI: 10.1007/978-3-030-12939-2_11
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2018
Conference Contributions
Frangi-Net: A Neural Network Approach to Vessel Segmentation
BildVerarbeitung für die Medizin (BVM) 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): BildVerarbeitung für die Medizin (BVM) 2018, Berlin, Heidelberg: 2018
DOI: 10.1007/978-3-662-56537-7_87
URL: https://arxiv.org/abs/1711.03345
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An anthropomorphic deformable phantom for brain shift simulation
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Sydney, Australia)
In: 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2018
DOI: 10.1109/nssmic.2018.8824435
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Bayer18-AA.pdf
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Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images
Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Bildverarbeitung für die Medizin 2018 2018
DOI: 10.1007/978-3-662-56537-7_48
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Bayer18-PSI.pdf
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2017
Journal Articles
Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model
In: IEEE Transactions on Medical Imaging 36 (2017), p. 1939-1954
ISSN: 0278-0062
DOI: 10.1109/TMI.2017.2702100
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Wang17-D2R.pdf
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Conference Contributions
Real-Time-Capable GPU-Framework for Depth-Aware Rigid 2D/3D Registration
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin 2017, Berlin: 2017
DOI: 10.1007/978-3-662-54345-0_43
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Utzschneider17-RGF.pdf
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Multi-View Depth-Aware Rigid 2-D/3-D Registration
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Atlanta, Georgia, USA)
In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Schaffert17-MDR.pdf
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2016
Conference Contributions
Comparison of Rigid Gradient-Based 2D/3D Registration Using Projection and Back-Projection Strategies
Workshop Bildverarbeitung für die Medizin (Berlin)
In: Bildverarbeitung für die Medizin, Springer: 2016
DOI: 10.1007/978-3-662-49465-3_26
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Schaffer16-COR.pdf
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2015
Conference Contributions
Epipolar Consistency in Fluoroscopy for Image-Based Tracking
26th British Machine Vision Conference (BMVC 2015) (Swansea, UK)
In: Proceedings of the British Machine Vision Conference 2015, Swansea, UK: 2015
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Aichert15-ECI.pdf
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Multi-GPU Based Evaluation and Analysis of Prehistoric Ice Cores Using OpenCL
International Conference on Imaging Systems and Techniques (Macau, China, September 16, 2015 - September 18, 2015)
In: IST 2015 Proceedings 2015
DOI: 10.1109/IST.2015.7294561
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Lectures
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