Instructors: Prof. Dr. Nassir Navab, Dr. Azade Farshad, Dr. Shahrooz Faghih Roohi, Yousef Yeganeh
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: 24.
Announcements
- The preliminary meeting is scheduled for July 9th, from 15:00 to 15:30.
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. The projects are to be realized by couples.
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 can be found here: GuidelineMLMI_MidPresentation_WS2024_25.pdf
- The guidelines for the final presentation can be found here:
- Project Progress: 50% Project Progress (Done by your tutor -- mainly on your weekly progress on lrz git repository.)
Schedule
Date | Topic |
---|---|
19/12/2024 | Mid-Presentation |
27/02/2025 | Final Presentation |
Projects
Title | Tutors | Proposal | Students |
---|---|---|---|
Benchmark for Surgical Video Generation | Yunan Li, Karim Elsharawy, Ahmed Eltawel, Anas Elnemr | ||
Conditional Facial Image Generation and Evaluation via Compositional Profiling | Yurui Zhang, Luca Mattes Wiehe, Marco Menzel, Emrah Toprak | ||
Deep Learning-based Needle Detection in Ultrasound | Jiamei Guo, Zhehao DUAN, Maria Christine Neiiendam | ||
Investigating Patients with Rare Diseases Using Graph-Based Models and LLMs | Kamilia Zaripova | Kai-Ze Deng, Büşra Nur Zeybek, Tuna Karacan, Fengyuan Liu | |
Multimodal Learning for Surgical Outcome Prediction | Halil Ibrahim Canakkaleli, Valentin Biller, Huiyu Chen, Ahmed Elghobashy |