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

• Registration
• Announcements
• Introduction
• Course Structure
• Schedule
• Projects

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

Introduction

• 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. 

Course Structure

• 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.)

Schedule

Projects