About the course

Course offered by Prof. Nassir Navab
Team:  Tianyu Song, Shervin Dehghani and Felix Tristram (Contact the course tutors)
Type: Praktikum (IN2106, IN4136)
SWS: 6
ECTS: 10 Credits

Table of contents

Announcements

Registration: Registration through the TUM Matching System is open between X. and X. Results of the matching system will be announced on X. More information you can find on Matching Docs.

Updates due to CoViD-19: All lectures and student presentations, until any further notice, are scheduled to be held online through Zoom. Make sure to have Zoom installed and ready for the First session. The details for joining the lecture and presentation sessions, students will be informed through email in timely manner at least one day before the session. Please also follow course's web-site and TUMOnline for any further announcements.

Schedule

For lecture sessions, presentation sessions and changes in the schedule, please also refer to TUMOnline.

DateTimePlaceTopicConducted byMaterials
Wednesday, 19.07.202315:00 - 16:00ZoomPreliminary meeting ("Vorbesprechung")Course tutors
Saturday, 30.09.202323:59 CESTEmailDe-registration Deadline
To: All tutors
Tuesday, 17.10.202311:00 - 12:00

TUM zoom


Lecture 1: Introduction and Project AnnouncementCourse tutors
Friday, 20.10.202323:59 CESTTUM MoodleDeadline to submit project preferencesSeminar Participants


Monday, 23.10.202309:00 - 12:00

TUM zoom

Lecture 2: Presentation Tips and Project Management

Course tutors
Monday, 06.11.202309:00 - 12:00

TUM zoom

Requirements PresentationsSeminar Participants
Tuesday, 07.11.202309:00 - 10:00

TUM zoom

Lecture 3: UML

Lecture 4: Documentation, Tests, Design Patterns & Integration Strategy

Course tutors
Monday, 11.12.202309:00 - 12:00

TUM zoom

Intermediate Presentations Part ISeminar Participants
Tuesday, 12.12.202309:00 - 12:00

TUM zoom

Intermediate Presentations Part IISeminar Participants
Monday, 05.02.202409:00 - 12:00

TUM zoom

Final Presentations Part ISeminar Participants
Tuesday, 06.02.202409:00 - 12:00

TUM zoom

Final Presentations Part IISeminar Participants


Available Projects

Projects will be announced in due time and presented during the Introductory meeting. Please communicate a selection of 3 choices, each with an explanation (ca. 5 sentences) for why you want to work on this project and how you meet the requirements specified in the project proposal. Use the Student Application Template provided in the Download section.

IDTitleSupervisorStudentPDF
1

Visualizing Interactions in Physical Spaces

Mahdi Saleh
2

Learning to Assess Experience in Physical Spaces

Patrick Ruhkamp
3

Ultrasound Image Synthesis from Inaccurate Poses with Bundle- Adjusted Neural Radiance Fields

Mohammad Farid Azampour, Magdalena Wysocki
4

Exploring Semi-Supervised Learning for Precise Ophthalmic Image Classification

Fernando Benito

Ali Wali Khan
5

Carotid Artery Tracking in Atherosclerotic US Images

Yuan BiQilin Chen
6

Self-supervised vision transformers for pathology segmentation in medical images

Mehdi Astaraki
7

A multi-dataset foundation model for pathology segmentation

Mehdi AstarakiAwayah Shahid
8

Augmented Reality Microscope in Endodontic Access Navigation

Tianyu Song, Dr. Elias Walter
9

Real-time 3D Vertebrae Shape Completion in Robotic Ultrasound

Yordanka Velikova, Miruna Gafencu
10

Visual Attention Analysis in Surgical Scenes Utilizing HoloLens 2 Eye Tracking

Laura SchützElvis Bektashi
11

In Silico Testing of Augmented Reality Interfaces: An Intensive Care Unit Simulation

Prof. Daniel Roth
12

Augmented Reality Medical Volumetric Data

Prof. Daniel RothRafat Hossain Sabit
13

Technical Improvement and Evaluation of Remote Guided VR-Therapy Towards Continuous Patient Care

Prof. Daniel Roth
14

Visualizing Medical Image Segmentation Results Using Multiple Prompt

Hong Joo, LeeSibo Wu
15

 HDR Scene Lighting Reconstruction

 Nikolas Brasch
16

 Lightweight ML Artifact Store & Viewer

 Nikolas BraschXiaoheng Hu
17

 A Web-Based Surgical Performance Analysis Tool

 Michael Sommersperger, Shervin DehghaniMustafa Onur Izmitlioglu
18

 3D Synthetic Generation of Coronary Arteries: Integrating TopoGAN and Semantic Diffusion in PyTorch

 Mohammad Farid AzampourManuel Obelleiro-Liz
19

 Breast segmentation in MRI images

 Mickael TardyMelis Kabasakal
20

Looking for a sweet spot in mammography classification with deep learning 

 Mickael Tardy
21

 Clustering dementia patients with graph-Learning in resting-state functional MRI

 Stephan WunderlichSara Valiente Jaén
22

 Machine Learning optimization of Dysconnectivity Index (DCI) in fMRI

 Stephan WunderlichBüşra Nur Zeybek
23

 Help lifting the treasure chest: make clever use of unstructured reports from nuclear cardiac imaging exams

Prof. Nekolla, Stephan G. Solari, Esteban Lucas Simge Tiraş
24

 Catheterisation Robot for X-ray data collection

 Heiko Maier & Agnieszka TomczakUmer Saeed
25

 Fusing multi-electrode signals for Bioelectric Navigation

 Heiko Maier
26

 Development of a DynamicPET simulator for diagnosis and treatment of cancer

 Francesca De BenettiNolla Sherifi
27

 Alternative Catheter Shapes for Bioelectric Navigation

  Heiko Maier
28

 Development of a Deep Learning Based Online EMG Classifier for Hand Movements Using Mentalab Explore

 Dr. Sebastian HerbergerEkin Yılmaz
29

Development of a Mobile App for Biosignal Visualization App with Flutter

 Dr. Sebastian HerbergerDeniz Toprak

Students

Overall 18 students have received their first project choice, two have been assigned their second choice and one student got their third choice. 

ProjectIDNameProjectIDNameProjectIDNameProjectIDNameProjectIDName
4Ali Wali Khan14Sibo Wu22Büşra Nur Zeybek29Deniz Toprak

5Qilin Chen16Xiaoheng Hu23Simge Tiraş21Sara Valiente Jaén

7Awayah Shahid17Mustafa Onur Izmitlioglu

24

Umer Saeed



12Rafat Hossain Sabit18Manuel Obelleiro-Liz26Nolla Sherifi



10Elvis Bektashi19Melis Kabasakal28Ekin Yılmaz



Preliminary Meeting

Topic: PMSD WS23/24 - Preliminary meeting
Time

Link:

Meeting ID
Passcode:

Prerequisites and Registration

This course requires basic knowledge of C++ or similar OO programming language. The concepts of OO programming and other concepts as conducted in the Introduction to Computer Science lecture are assumed.Registration through the TUM Matching System is mandatory. Your chances to be assigned to the course increase if you give the course a higher rank in your choices. If you already have a potential project, notify the course tutors via e-mail as soon as possible. This increases your chances to be assigned to the course, but you have to register through the matching system in any case. For further details about how the matching system works and its schedule please check the documentation.

Project Proposals

In this lab course, students work on clinical software projects and find solutions for problems in the field of medical applications. The student's workload should be around 10-14 hours per week for a period of 3 - 4 months on the assigned project (10 ECTS course).

Each project is expected to have one contact person (supervisor) who should be available for regular updates or if the student needs any help. In addition, the supervisors are kindly invited to participate in the student presentations (Requirements, Intermediate, Final) taking place at the CAMP chair. Each project supervisor will decide on 50% of the grade based on the student’s performance in the project. The other 50% will be decided upon by lecturers, based on the quality of project management and presentation skills of the student.The project proposal should give a short introduction into the context and describe the most important aspects and expected outcome of the project. Furthermore it should clearly state the required (and optional) skills (programming language, experience with certain libraries etc.).

If you have a suitable project, preferably with a clinical or industrial partner, you are kindly invited to fill out the project proposal template and send it to the course tutors. The deadline for proposal submission is beginning of the lecture period for the Winter Semester 2023-24.

Downloads

* TUM Informatics Student Code of Conduct

* TUM Citation Guide

* CAMP presentation slides for PowerPoint:  CAMPmaster.ppt

* CAMP presentation slides for Latex

* Student project application template

* Supervisor project proposal template

Literature and Resources

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