Universität Bonn

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


April 11 - 14, 2023

Lipschitz-Saal (Endenicher Allee 60, Bonn)

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

Description: 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.

HS 2023_04_11.jpg
© HCM

Lecture Series by: 

  • Tatiana Bubba (University of Bath)
  • Jan Modersitzki (University of Lübeck
  • Marcelo Pereyra (Heriot-Watt University
  • Thomas Pock (Graz University of Technology)

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.

The deadline for registration has expired.


Schedule

Tuesday, April 11

10:00 - 10:30 Opening
10:30 - 12:00 Modersitzki - Class 1
13:00 - 15:00 Bubba - Class 1
16:30 - 17:00 Modersitzki - Class 2
17:30 - 19:00 Backup

Wednesday, April 12

8:30 - 9:30 Pock - Class 1          
10:30 - 12:00 Bubba - Class 2
13:30 - 17:00 Social Event

Thursday, April 13

8:30 - 9:30 Pock - Class 2
10:30 - 12:00 Modersitzki - Class 3
13:00 - 15:00 Pereyra - Class 1
16:30 - 17:00 Bubba - Class 3
17:30 - 19:00 Reception

Friday, April 14

8:30 - 9:30 Pereyra - Class 2      
10:30 - 12:00 Pereyra - Class 3
13:00 - 15:00 Pock - Class 1
15:00 - 15:30 Closing

Participants

Person
Affiliation
Period of stay
Christian Aarset   11.04.2023 – 14.04.2023
Pablo Arratia University of Bath 10.04.2023 – 14.04.2023
Alexander Auras University of Siegen 10.04.2023 – 15.04.2023
Martin Benning Queen Mary University of London 10.04.2023 – 14.04.2023
Lea Bogensperger Graz University of Technology 11.04.2023 – 13.04.2023
Tatiana Alessandra Bubba University of Bath 10.04.2023 – 15.04.2023
Ambra Catozzi University of Parma 10.04.2023 – 15.04.2023
Jorge Cisneros Paz University of Texas at Austin 11.04.2023 – 14.04.2023
Andreas Decker University of Bonn 10.04.2023 – 15.04.2023
Alexander Effland University of Bonn  
Sophie Externbrink Technische Universität Hamburg (TUHH) 10.04.2023 – 15.04.2023
Laura Girometti University of Bologna 10.04.2023 – 15.04.2023
Ashan Gupta IIT(BHU), VARANASI, INDIA 11.04.2023 – 14.04.2023
Manuel Haas Institute of Applied Mathematics 11.04.2023 – 14.04.2023
Soma Hansel University of Bonn 10.04.2023 – 15.04.2023
Trung Hieu Hoang University of Innsbruck 10.04.2023 – 15.04.2023
Samira Kabri Friedrich-Alexander-Universität Erlangen-Nürnberg 10.04.2023 – 15.04.2023
Francis Kalloor Joseph University of Twente, Faculty of Science and Technology 10.04.2023 – 15.04.2023
Teresa Klatzer University of Edinburgh 10.04.2023 – 15.04.2023
Erich Kobler Universität Bonn 10.04.2023 – 15.04.2023
Lorenz Kuger FAU Erlangen-Nürnberg 10.04.2023 – 15.04.2023
Dinesh Kumar University of Bristol 10.04.2023 – 15.04.2023
Salla Latva Ajiö   10.04.2023 – 15.04.2023
Elliott Mr Macneil University College London 10.04.2023 – 14.04.2023
Ruma Maity Aalto University 10.04.2023 – 15.04.2023
Savvas Melidonis Heriot-Watt University 10.04.2023 – 15.04.2023
Jan Dr. Modersitzki University of Lübeck 10.04.2023 – 15.04.2023
Saskia Neuber University of Luebeck 10.04.2023 – 15.04.2023
Tram Nguyen Max-Planck Institue for Solar System research 10.04.2023 – 15.04.2023
Naveen Mr. Paluru IISc Bangalore 10.04.2023 – 15.04.2023
Marcelo Pereyra Heriot-Watt University 10.04.2023 – 15.04.2023
Jan Willem Peter Universität Bonn 10.04.2023 – 15.04.2023
Thomas Pock Technische Universität Graz 11.04.2023 – 14.04.2023
Aditya Dr Rastogi Universitätsklinikum Heidelberg 10.04.2023 – 14.04.2023
Siiri Rautio University of Helsinki 10.04.2023 – 15.04.2023
Tim Roith   10.04.2023 – 15.04.2023
Pia Franziska Schulz University of Luebeck 11.04.2023 – 14.04.2023
Andrea Sebastiani Univesity of Bologna 10.04.2023 – 15.04.2023
Pradeep Kumar Sharma Department of Mathematics 10.04.2023 – 15.04.2023
Somveer Singh Indian Institute of Technology BHU Varanasi, India 10.04.2023 – 15.04.2023
Cecilia Tarpau Heriot-Watt University 10.04.2023 – 15.04.2023
Alexandra Valavanis Queen Mary University of London 10.04.2023 – 15.04.2023
Jan Verhülsdonk University of Bonn 10.04.2023 – 15.04.2023
Richa Verma Indian Institute of Technology, Delhi 10.04.2023 – 15.04.2023
Lukas Weigand   11.04.2023 – 14.04.2023
Guang Yang Imperial College London 10.04.2023 – 15.04.2023
Wird geladen