Research output per year
Research output per year
Personal profile
Scientific Focus
We provide mathematical methods and practical solutions for state-of-the-art imaging problems with strong focus on medical imaging. Our goal is to bridge the gap between fundamental research and industrial development and to provide sound solutions that simply work and simplify work.
Our activities range from education and training of highly qualified personnel, over research on application relevant mathematical models as well as efficient and sustainable algorithms, to the development and implementation of industrial solutions for clinical applications.
For a list of current research activities, please see the list in the menu or choose one of the research areas below:
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Dive into the research topics where Jan Modersitzki is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn)
Häger, S., Lange, A., Heldmann, S., Modersitzki, J., Petersik, A., Schröder, M., Gottschling, H., Lieth, T., Zähringer, E. & Moltz, J. H., 05.04.2022.Research output: Contribution to conference › Conference Papers › peer-review
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Guest Editorial: Scale Space and Variational Methods
Lellmann, J. & Modersitzki, J., 02.2021, In: Journal of Mathematical Imaging and Vision. 63, 2, p. 131-132 2 p.Research output: Journal Articles › Journal articles › Research › peer-review
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Accelerating the Registration of Image Sequences by Spatio-Temporal Multilevel Strategies
Aggrawal, H. O. & Modersitzki, J., 04.2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). IEEE, p. 683-686 4 p. 9098520. (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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An image registration framework for discontinuous mappings along cracks
Aggrawal, H. O., Andersen, M. S. & Modersitzki, J., 09.06.2020, WBIR 2020: Biomedical Image Registration . Špiclin, Ž., McClelland, J., Kybic, J. & Goksel, O. (eds.). Springer, Cham, Vol. 12120 LNCS. p. 163-173 11 p. (Lecture Notes in Computer Science; vol. 12120 LNCS).Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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A discretize-optimize approach for LDDMM registration
Polzin, T., Niethammer, M., Vialard, F. X. & Modersitzki, J., 04.09.2019, Riemannian Geometric Statistics in Medical Image Analysis. Elsevier B.V., p. 479-532 54 p.Research output: Chapters in Books/Reports/Conference Proceedings › Chapter › peer-review
Projects
- 2 Finished
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KI SIGS - Space for Intelligent Health Systems
Leucker, M., Koch, R., Martinetz, T., Dembinski, R., Glüer, C. C., Buschschlüter, S., Rostalski, P., Modersitzki, J., Gerkmann, T. & Steinicke, F.
01.04.20 → 31.12.23
Project: Projects with Federal Funding › Projects with Federal Ministry Funding: BMWK
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Nonlinear mass-preserving registration for magnetic resonance imaging (MRI) and positron emission tomography (PET)
Burger, M. & Modersitzki, J.
01.04.12 → 31.03.15
Project: DFG Projects › DFG Individual Projects
Activities
- 1 Professional Society
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Gesellschaft für Angewandte Mathematik und Mechanik (GAMM), Section Numerical Linear Algebra (External organisation)
Jan Modersitzki (Member)
2012 → …Activity: Membership types › Professional Society