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
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Dive into the research topics where Institute of Mathematics and Image Computing is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
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
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 - 148Research 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
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Functional Lifting 2.0: Effiziente Konvexifizierungen für Bildverarbeitung und Computer Vision
Cremers, D., Lellmann, J. & Möller, M.
01.01.18 → …
Project: DFG Funding
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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 Funding
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GSC 235: Graduate School for Computing in Medicine and Life Sciences
Schweikard, A., Anders, S., Barkhausen, J., Buzug, T., Erdmann, J., Fischer, B., Fischer, S., Habermann, J. K., Hartmann, E., Hilgenfeld, R., Hofmann, U., Klein, C., Kruse, C., Marshall, L., Martinetz, T., Mertins, A., Münte, T., Oltmanns, K., Schneider, S., Schunkert, H., Sczakiel, G., Tronnier, V. M., Vogel, A., Westermann, J. & Zillikens, D.
01.11.07 → 31.12.14
Project: DFG Funding
Prizes
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Bernd Fischer Award 2010
Papenberg, Nils (Recipient), 27.10.2010
Prize: Awards of the University of Luebeck
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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