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.
Date | Time | Place | Topic | Conducted by | Materials |
---|---|---|---|---|---|
Wednesday, 19.07.2023 | 15:00 - 16:00 | Zoom | Preliminary meeting ("Vorbesprechung") | Course tutors | |
Saturday, 30.09.2023 | 23:59 CEST | De-registration Deadline | To: All tutors | ||
Tuesday, 17.10.2023 | 11:00 - 12:00 | TUM zoom | Lecture 1: Introduction and Project Announcement | Course tutors | |
Friday, 20.10.2023 | 23:59 CEST | TUM Moodle | Deadline to submit project preferences | Seminar Participants | |
Monday, 23.10.2023 | 09:00 - 12:00 | TUM zoom | Lecture 2: Presentation Tips and Project Management | Course tutors | |
Monday, 06.11.2023 | 09:00 - 12:00 | TUM zoom | Requirements Presentations | Seminar Participants | |
Tuesday, 07.11.2023 | 09:00 - 10:00 | TUM zoom | Lecture 3: UML Lecture 4: Documentation, Tests, Design Patterns & Integration Strategy | Course tutors | |
Monday, 11.12.2023 | 09:00 - 12:00 | TUM zoom | Intermediate Presentations Part I | Seminar Participants | |
Tuesday, 12.12.2023 | 09:00 - 12:00 | TUM zoom | Intermediate Presentations Part II | Seminar Participants | |
Monday, 05.02.2024 | 09:00 - 12:00 | TUM zoom | Final Presentations Part I | Seminar Participants | |
Tuesday, 06.02.2024 | 09:00 - 12:00 | TUM zoom | Final Presentations Part II | Seminar 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.
ID | Title | Supervisor | Student | |
---|---|---|---|---|
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 Bi | Qilin Chen | |
6 | Self-supervised vision transformers for pathology segmentation in medical images | Mehdi Astaraki | ||
7 | A multi-dataset foundation model for pathology segmentation | Mehdi Astaraki | Awayah 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 Schütz | Elvis 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 Roth | Rafat 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, Lee | Sibo Wu | |
15 | HDR Scene Lighting Reconstruction | Nikolas Brasch | ||
16 | Lightweight ML Artifact Store & Viewer | Nikolas Brasch | Xiaoheng Hu | |
17 | A Web-Based Surgical Performance Analysis Tool | Michael Sommersperger, Shervin Dehghani | Mustafa Onur Izmitlioglu | |
18 | 3D Synthetic Generation of Coronary Arteries: Integrating TopoGAN and Semantic Diffusion in PyTorch | Mohammad Farid Azampour | Manuel Obelleiro-Liz | |
19 | Breast segmentation in MRI images | Mickael Tardy | Melis 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 Wunderlich | Sara Valiente Jaén | |
22 | Machine Learning optimization of Dysconnectivity Index (DCI) in fMRI | Stephan Wunderlich | Büşra 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 Tomczak | Umer 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 Benetti | Nolla 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 Herberger | Ekin Yılmaz | |
29 | Development of a Mobile App for Biosignal Visualization App with Flutter | Dr. Sebastian Herberger | Deniz 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.
ProjectID | Name | ProjectID | Name | ProjectID | Name | ProjectID | Name | ProjectID | Name |
---|---|---|---|---|---|---|---|---|---|
4 | Ali Wali Khan | 14 | Sibo Wu | 22 | Büşra Nur Zeybek | 29 | Deniz Toprak | ||
5 | Qilin Chen | 16 | Xiaoheng Hu | 23 | Simge Tiraş | 21 | Sara Valiente Jaén | ||
7 | Awayah Shahid | 17 | Mustafa Onur Izmitlioglu | 24 | Umer Saeed | ||||
12 | Rafat Hossain Sabit | 18 | Manuel Obelleiro-Liz | 26 | Nolla Sherifi | ||||
10 | Elvis Bektashi | 19 | Melis Kabasakal | 28 | Ekin 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
* CAMP presentation slides for PowerPoint: CAMPmaster.ppt
* CAMP presentation slides for Latex
Literature and Resources
Github
With your TUM account you can use the LRZ Gitlab