Instructors: Prof. Dr. Nassir Navab, Dr. Shahrooz Faghihroohi, Azade Farshad, Yousef Yeganeh

Time: TBA

Registration

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

Announcements

• The presentation and blogpost guidelines are available here: TBA 
• The preliminary meeting slides can be found here TBA
• The preliminary meeting is scheduled for Tuesday, 09.07.2024, from 15:30 hrs. - 16:00 hrs.
  
  The sessions will be conducted in room 03.11.018
  And on Zoom: https://tum-conf.zoom-x.de/j/61658068830?pwd=CfoK4edebnJA3fKzpm44SyEImONnk1.1
  Meeting ID: 616 5806 8830
  Passcode: 242869

Introduction

• Deep Learning is growing tremendously in Computer Vision and Medical Imaging as well. Highly impacted journals in the medical imaging community, i.e. IEEE Transaction on Medical Imaging, recently published their special edition on Deep Learning [1]. The Seminar will propose a list of recent scientific articles related to the main current research topics in deep learning for Medical Applications, together with some interesting papers from other communities (CVPR, NeurIPS, ICCV, ICLR, ICML, ...).

Course Structure

In this Master Seminar (Hauptseminar), students select one scientific topic from the list provided by course organizers. The students should read the proposed sample papers by the tutors, find the topic-related articles, summarize and compare them in their presentation and blogpost:

• Presentation: The selected paper is presented to the other participants (Maximum 25 minutes presentation, 10 minutes questions). You can use the CAMP templates for PowerPoint TUM-Template.pptx.
• Blog Post: A blog post of 3000-3500 words excluding references, should be submitted before the deadline. The blog post must include all references used and must be written completely in your own words. Copy and paste will not be tolerated.
• Attendance: Participants have to participate actively in all seminar sessions. Each presentation is followed by a discussion, and everyone is encouraged to actively participate.

Submission Deadline: You have to submit the blog post by the first presentation date and can modify it a bit until the last session of the course.

Schedule (TBA)

List of Topics and Material

The proposed papers for each topic in this course are usually selected from the following venues/publications:

CVPR: Conference on Computer Vision and Pattern Recognition
ICLR: International Conference on Learning Representations
NeurIPS: Neural Information Processing Systems

TPAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence

TMI: IEEE Transaction on Medical Imaging
JBHI: IEEE Journal of Biomedical and Health Informatics
MedIA: Medical Image Analysis (Elsevier)

MICCAI: Medical Image Computing and Computer-Assisted Intervention.
BMVC: British Machine Vision Conference
MIDL: Medical Imaging with Deep Learning

List of papers (TBA)