Computational Medical Imaging
Summer school course
- Date: September 20 to October 2, 2020
- Location: Sarntal Valley, South Tyrol, Italy
- Prof. Dr. Andreas Maier (Friedrich-Alexander Universität Erlangen-Nürnberg)
- PD Dr. Tobias Lasser (Technische Universität München)
In this course we will explore computational imaging techniques in the context of medical imaging. This covers the various image processing tasks such as segmentation, registration, detection and classification, as well as tomographic reconstruction. As in many other fields, deep learning techniques have had a tremendous impact in medical imaging, next to, and in combination with, the more classical variational methods.
The course is organized in two parts. In the first part, each participant will give a 30 minute presentation on a selected topic of computational medical imaging. In the second part, the participants will work together to develop a small-scale application of computational imaging in the context of tomographic reconstruction. We will be building upon our existing open source frameworks, using a Python interface.
The course is open to Bachelor students (4th term or higher) and Master students of Informatics, Medical Engineering, Electrical Engineering, Mathematics, and Physics. The application deadline is May 3, 2020, and you can apply via the website of the Ferienakademie to course number 10.