Computational Medical Imaging
Summer school course
- Date: September 19 to October 1, 2021
- Location: Sarntal Valley, South Tyrol, Italy
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.
There will be a joint meeting for preparation on Friday, July 9, 2021, at 15:00 via BBB.
Topic selection: list of available presentation topics
- select your three preferred topics (sorted by preference)
- send them by email to Tobias Lasser until July 19, 2021
- Analytical Reconstruction
- Iterative Reconstruction
- Modelling Issues in CT
- Optical Tomography
- Light Field Microscopy
- Phase Contrast Imaging
- X-ray Tensor Tomography
- Spectral X-ray Computed Tomography
- Deep Learning Basics
- Embedding of Known Operators
- Generative Adversarial Networks for Medical Imaging
- Tomographic Image Reconstruction
- Transformers for Medical Imaging
- Few Shot Learning