Hausdorff School: "Data-driven Inverse Problems in Biomedical Imaging"

Dates:  April 11 - 14, 2023

Venue: Lipschitz-Saal (Endenicher Allee 60, Bonn)

Organizers:  Martin Benning (QMUL), Alexander Effland (University of Bonn), Erich Kobler (University of Bonn)

Various key problems in biomedical imaging can be modeled as inverse problems (e.g. single image super-resolution, undersampling in magnetic resonance imaging, limited angle tomography, registration, segmentation). Numerous deep learning-inspired methods to tackle these inverse problems have been developed in recent years, often redefining the state of the art. The Hausdorff School on Data-driven Inverse Problems in Biomedical Imaging focuses on several mini-courses that explore this topic from both theoretical and applied perspectives. The school is aimed at PhD students and postdocs. The courses can be supplemented by introductory lectures and shorter research lectures.

Lecture series by:

The University of Bonn and HSM are committed to diversity and equal opportunity. We aim to increase the proportion of women in areas where women are underrepresented and to facilitate their careers. We therefore strongly encourage women with relevant qualifications to apply.

Please send applications using the form below, the deadline for applications is January 1, 2023.

In case of scientific questions, please contact the organizers at sek-effland(at)iam.uni-bonn.de, in case of questions concerning services and administration, please contact hsm(at)hcm.uni-bonn.de.

We would like to draw your attention to a thematically related event with our School, which will take place the following week.

Bonn Conference on Mathematical Life Sciences (Bonn, April 17-20, 2023)

Mathematical modelling and analysis are nowadays essential for all fields of the life sciences, ranging from basic research to clinical application. We would like to invite you to discuss the state of the field and potential future development.

https://www.uni-bonn.de/en/research-and-teaching/research-profile/excellence-strategy/conference-mathematical-life-sciences  

If you are also interested in participating in this event, please indicate this in your application process. The participation in the conference cannot be financially supported by us.

Online Application