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Biomedical Imaging Group
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Research Goals

The Biomedical Imaging Group (BIG) pursues research on the development of new algorithms and mathematical tools for the advanced processing of medical and biological images. Topics of interest are image reconstruction, multi-modal imaging, image analysis and visualization. Research efforts are taking place at two complementary levels:

Our interdisciplinary research strategy is summarized in the following matrix chart, which emphasizes the key role of mathematics and signal processing:

med bio theory mat splines wav med med med bio bio bio mat splines wav research
Caption: The columns represent the signal-processing tools that we are developing and promoting, while the rows represent the research questions that we are addressing, which are either application-driven (imaging problems in medicine or biology), or of a more fundamental nature.

The strength of this group lies in the strong interaction between theory and practice, and the use of sophisticated mathematics for solving concrete problems in biomedical imaging.

Our priority is to develop algorithms that respond to specific needs of the biomedical community. In many cases, these are incorporated into user-friendly software that is made available to researchers over the web.

Links to Research Topics



© 2022 EPFL • • 11.08.2022