Instructors: Prof. Dr. Nassir Navab, Dr. Shahrooz Faghihroohi, Dr. Han Li, Dr. Azade Farshad, Yousef Yeganeh, Yue Zhou

Registration

Registration must be done through TUM Matching Platform (please pay attention to the Deadlines)
In order to increase your priority, please also apply via our own Registration system.
The maximum number of participants: 20

Announcements

Interested students should attend the preliminary meeting. This semester, we will have a joint presentation of the MLMI and DLMA courses offered on Wednesday, 04.02.2026, with the following agenda:

Machine Learning in Medical Imaging (MLMI): 14:00 hrs. - 14:30 hrs.
Deep Learning for Medical Applications (DLMA): 14:30 hrs. - 15:00 hrs.

The sessions will be conducted by the following Zoom link:
https://tum-conf.zoom-x.de/j/64943024190?pwd=S82DItjso6Zsc2mYhk31489cYqrcRY.1
The MLMI Introduction slides can be found here: MLMI Preliminary Meeting SS26.pdf

The aim of the course is to provide the students with notions about various machine learning techniques. The course is mainly defined by a project.
- The topics of the projects will be distributed at the beginning of the semester. Each topic will be supervised by a different person.

Presentation: 50% Intermediate and Final Presentation (Done by all tutors -- mainly on your presentation skill, progress so far compared to other groups ...etc.)
- Use the CAMP templates for PowerPoint camp-tum-jhu-slides-16_9.potx
- The guideline for mid-presentation of previous semester can be found here: GuidelineMLMI_MidPresentation_WS2025-26.pdf
- The guidelines for the final presentation of the previous year can be found here:
Project Progress: 50% Project Progress (Done by your tutor -- mainly on your weekly progress on lrz git repository.)

TBA

TBA