Research output per year
Research output per year
Organisation profile
About us
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:
- Image registration and tracking
- Variational image processing
- Industrial solutions
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Research output
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Classification of Pancreatic Ductal Adenocarcinoma Using MALDI Mass Spectrometry Imaging Combined with Neural Networks
Kanter, F., Lellmann, J., Thiele, H., Kalloger, S., Schaeffer, D. F., Wellmann, A. & Klein, O., 02.2023, In: Cancers. 15, 3, 686.Research output: Journal Articles › Journal articles › Research › peer-review
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EmNeF: Neural Fields for Embedded Variational Problems in Imaging
Bednarski, D. & Lellmann, J., 10.05.2023, Scale Space and Variational Methods in Computer Vision: 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21-25, 2023, Proceedings. Springer, Cham, p. 137 - 148 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14009 LNCS).Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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A Flexible Meta-Learning Model for Image Registration
Kanter, F. & Lellmann, J., 2022, Medical Imaging with Deep Learning.Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
Projects
- 4 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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Functional Lifting 2.0: Efficient Convexifications for Imaging and Vision
Cremers, D., Lellmann, J. & Möller, M.
01.01.18 → 31.12.22
Project: DFG Projects › DFG Individual Projects
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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
Prizes
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Bernd Fischer Award 2010
Papenberg, Nils (Award Recipient), 27.10.2010
Prize: Awards of the University of Luebeck
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Best Paper Honorable Mention at CVPR 2016
Lellmann, Jan (Award Recipient), 2016
Prize: Research Prizes, Scientific Awards
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Best Student Paper Award at SSVM 2021
Lellmann, Jan (Award Recipient), 2021
Prize: Research Prizes, Scientific Awards
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