Instructors: Prof. Dr. Nassir Navab, Dr. Shahrooz Faghih Roohi, Azade Farshad, 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 slides can be found here: MLMIWS23-24.pdf
- The preliminary meeting is scheduled for July 5th, from 14:00 to 14:30, with the following Zoom link:
https://tum-conf.zoom.us/j/63320903512?pwd=WEljYUtYUERHSFhzV1d1N2Iwd2JOZz09
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_WS2023_24.pdf
- The guidelines for the final presentation can be found here: GuidelineMLMI_Final presentation_WS2023-24.pdf
- Project Progress: 50% Project Progress (Done by your tutor -- mainly on your weekly progress on lrz git repository.)
Schedule
Date | Topic | Slides | Lecturer |
---|---|---|---|
31.10.2023 | Introduction to Cluster | Niko Brasch | |
19.12.2023 | Mid-Presentation | ||
27.02.2024 | Final Presentation | ||
Projects
Title | Tutors | Proposal | Students |
---|---|---|---|
Future Video Generation with Scene Graphs in Medical Imaging | Yash Vardhan Thirani Rachmadio Noval Lazuardi Amir Hossein Shamseddin Clemens Krispler Emine Dari | ||
Hyperspectral CT Reconstruction | Haruki Konii Kunal Aggarwal Patris Valera Khaoula Missaoui | ||
Unsupervised Structured Report Generation using Cycle Consistency | Zhiang Guo Arda Burak Mamur Maximilian Oberle Mohammad Furqan Lodhi | ||
Zero-shot Conditional Face Generation using Medical Knowledge Graphs | Azade Farshad Yeganeh, Y. M. | Tejas Srinivasan Melina Wördehoff Luka Lovrenovic Mert Yilmaz Ikinci | |
Zero-shot Disease Diagnosis from Facial Features | Azade Farshad Yeganeh, Y. M. | Ruochen Li Leni Rohe |