Lecturer: Dr. Georg Langs (CSAIL, MIT)
The lecture is organised in a blocked-way starting 23rd of April 2026.
The aim of the course is to provide insights into medical image analysis, especially in practical clinical and industrial applications.
We will discuss the following topics in the lecture:
- Medical imaging modalities
- Segmentation
- Model based detection and segmentation of anatomical structures
- Texture analysis
- Interactive segmentation
- Rigid and non-rigid registration
- Neuroimaging and machine learning, analysis of neuroimaging data
- Applications in interoperative / interventional visualization
- Atlas building
Subject of the course
Methods and modalities will be explained based on real world cases. For each we will discuss the mathematical basics, and ways of solving it. For each unit we will distribute reading material, so that we can have an interesting discussion during the lecture.
Organization:
- Registration: Students who want to absolve the lecture only, have to register for the lecture VO Medical Image Processing 183.269 and corresponding exams via TISS.
- Initial meeting: 23rd of April 2026, (hybrid lecture in-person with live streaming and recording). You will also have the opportunity to actively ask questions in this session.
- Materials: slides of the initial meeting are provided via the TUWEL course
- Changes in the summer term 2026:
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- The lectures will be held together with the lectures of the VU Medical Image Processing and Machine Learning (193.215).
- Since the summer term 2026 no separate excercise (UE) is offered. Instead the VU Medical Image Processing and Machine Learning (combination of lecture and excercise) are introduced.
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Please send an e-mail to Georg Langs (georg.langs (at) meduniwien.ac.at) if you have any questions.
Tentative Lecture Schedule :
| TAG | DATUM | ZEIT | ORT |
|---|---|---|---|
| Do | 23.04.2026 | 08:00 – 11:00 | HS7 |
| Mo | 27.04.2026 | 08:00 – 11:00 | HS7 |
| Di | 28.04.2026 | 08:00 – 11:00 | HS6 |
| Mo | 11.05.2026 | 08:00 – 11:00 | EI8 |
| Mo | 18.05.2026 | 08:00 – 11:00 | HS7 |
| Fr | 22.05.2026 | 08:00 – 11:00 | EI5 |
| Do | 28.05.2026 | 08:00 – 11:00 | EI 10 |
| Do | 25.06.2026 | 08:00 – 11:00 | HS7 |