About the course
Course offered by Prof. Nassir Navab
Team: Ardit Ramadani, Lennart Bastian, Tianyu Song, and Vanessa Gonzales Duque (Contact the course tutors)
Type: Praktikum (IN2106, IN4136)
ECTS: 10 Credits
Table of contents
Final presentations (as of 01.02.2023): Zoom link has been provided below, as well as instructions on uploading the presentation slides. The order of presentations is based on Student ID as indicated in the schedule table below.
Intermediate presentations (as of 05.12.2022): Zoom link has been provided below, as well as instructions on uploading the presentation slides. The order of presentations is based on Student ID as indicated in the schedule table below.
Requirements presentations (as of 03.11.2022): Zoom link has been provided below, as well as instructions on uploading the presentation's slides. The order of presentations is based on Student ID, so we will start from Student ID 01 until Student ID 20 in order.
Project assignment (as of 29.04.2022): The project assignment has been complete. Please check the projects below to find out which project has been assigned to you. We have tried really hard to fulfill everyone's preferences and include as many supervisors as possible, we hope everyone is happy with the assigned project. You are advised to contact your supervisor as soon as possible to introduce yourself and appoint a meeting to kick-off the project. Good luck!
Number of students
|1st choice assigned||13 students||65%|
|2nd choice assigned||6 students||30%|
|3rd choice assigned||1 students||5%|
Tab. Percentage of assigned projects based on student's preferences
|11 and 14||4 students|
|7, 12, 13 and 26||3 students|
Tab. Top favorite projects (based on student's preferences)
Project announcements (as of 17.10.2022): Projects have been announced. Read through all project proposals and choose three favorite for which you write a short motivation and submit it to TUM Moodle by THURSDAY, 20.10.2022 at 23:59 Munich time. Upload your file as PDF named StudentID-FullName-choices.pdf (e.g. 05-ArditRamadani-choices).The form to apply can be found at "Downloads > Student project application template". We will assign projects once everyone has submitted their preferences, we will try use the combination that maximizes the number of first choices. Until now, only the students that have proposed their own project have been assigned on the table below (those projects are reserved to those students and cannot be chosen from the rest). Good luck!
Canceled class: Please note that the class on Monday, 17.10.2022 has been canceled. We will start the course with a block session on Tuesday (18.10.2022) from 09:00 - 12:00.
De-registration deadline: Friday, 30.09.2022, 23:59 Munich Time zone. All students who want to deregister the course without getting booked with a grade, please make sure to send all the course tutors an email for deregistration before the deadline.
Registration: Please use the form below to register for the course. We will collect all submissions and inform the students regarding their registration status mid-August.
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.
For lecture sessions, presentation sessions and changes in the schedule, please also refer to TUMOnline.
|Monday, 25.07.2022||09:00 - 10:00||Zoom||Preliminary meeting ("Vorbesprechung")||Course tutors|
|Friday, 30.09.2022||23:59 CEST||De-registration Deadline||To: All tutors|
|Tuesday, 18.10.2022||09:00 - 12:00|
Meeting ID: 643 9514 7115
Lecture 1: Introduction and Project Announcement
Lecture 2: Presentation Tips and Project Management
|Thursday, 20.10.2022||23:59 CEST||TUM Moodle||Deadline to send project preferences||Seminar Participants|
|Monday, 07.11.2022||09:00 - 12:00|
Meeting ID: 645 9393 1354
|Requirements Presentations||Seminar Participants||Order of presentation from Student ID 01 to 20|
|Tuesday, 08.11.2022||10:00 - 12:00|
Meeting ID: 645 7360 7596
Lecture 4: Documentation, Tests, Design Patterns & Integration Strategy
|Tuesday, 15.11.2022 (new session)||09:00 - 10:00|
Meeting ID: 623 2053 0294
Lecture 3: UML
|Monday, 12.12.2022||09:00 - 12:00|
Meeting ID: 623 5289 2272
|Intermediate Presentations Part I||Seminar Participants||Order of presentation from Student ID 01 to 10|
|Tuesday, 13.12.2022||09:00 - 12:00|
Meeting ID: 622 9044 4123
|Intermediate Presentations Part II||Seminar Participants||Order of presentation from Student ID 11 to 20|
|Monday, 06.02.2022||09:00 - 12:00|
Meeting ID: 615 9170 7497
|Final Presentations Part I||Seminar Participants||Order of presentation from Student ID 11 to 20|
|Tuesday, 07.02.2022||09:00 - 12:00|
Meeting ID: 659 6078 1961
|Final Presentations Part II||Seminar Participants||Order of presentation from Student ID 01 to 10|
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.
Deep Learning-based Tool for Automated Lymph Node Detection in Lymphoma Patients
|Simone Bendazzoli and Mehdi Astaraki||Karine|
Graph-Learning in Resting-state Functional MRI
Indoor Mapping of Devices using QR Code and Geolocation
|Dr. Stephan Dörfler||Hussain|
Object Recognition for Medical Devices
|Dr. Stephan Dörfler|
Name Entity Recognition of Patients in MDOP
|Dr. Stephan Dörfler||Amna|
Robotic Ultrasound Calibration
|Yuan Bi and Zhongliang Jiang|
Real-time movement data acquisition and analysis software for patients with DBS for movement disorders
Development of a preoperative plan plugin for fracture and deformity correction treated with the iFixation exapodalic platform
Patientflow: a WebApp-based patient guidance and analysis system
|Dr. Joshua Gawlitza||Huong|
DAF3D implementation in MONAI
|Vanessa Gonzalez Duque|
Quicknat implementation in MONAI
|Vanessa Gonzalez Duque||Inés del Val|
CVAT for Medical Imaging
Synthetic data for unleashed machine learning
MIMIC-CXR Structured Reporting Dataset
|Matthias Keicher||Ömer Alp|
Reinforcement-Learning based Catheter Trajectory Generation for Bioelectric Navigation
Unity-based VR Application for Medical Data Exploration
Development of a Brain Computer Interface with Virtual Reality Neurofeedback
|Dr. Sebastian Herberger||Marta|
MaLibU: Open-Source Math Utility Library for Medical Augmented Reality Unity Applications
|Tianyu Song, Kevin Yu, Michael Sommersperger, Alexander Winkler|
Motion Compensation for EM Catheter Tracking in Pre-operative MR/CT Images
|Ardit Ramadani||Ha Young|
Live Digital Human Generation using Dense Pose
|Mahdi Saleh||Ata Jadid|
Volume Fusion for 4D Intraoperative Optical Coherence Tomography
Breathing Compensation for Autonomous Robotic Ultrasound Abdominal Sweep
|Yordanka Velikova||Amr Abu|
Robotic Ultrasound Catheter Tracking based on Intermediate Ultrasound Representations
4D Heart model visualization
|Ching-En Lin, Sam Wray||Kristina|
Big data in cardiac medical imaging
|Diogo Ferreira de Almeida, Moritz Jung||Yijin|
Point cloud registration for anatomical measurements
|Diogo Ferreira de Almeida, Ching- En Lin||Malek|
AR Visualization and Interaction of Patient data in Intensive Care Unit with Hololens 2
|1||Hussain S.||6||Julia D.||11||Karine L.||16||Ömer Alp Ş.||21||Cagatay A.-|
|2||Huong N.||7||Kristina D.||12||Maitri B.||17||Dilara K.||22||Marta G.-|
|3||Ha Young K.||8||Agata L.||13||Amna G.||18||Amr Abu Z.||23||Pascual T.-|
|4||Marta H.||9||Ata Jadid A.||14||Yijin J.||19||Inés del Val G.||24||Chengzhi S.-|
|5||Malek A.||10||Niels H.||15||Deniz I.||20||Bikem Ç.|
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.
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 2022-23.
Please use the form below to register for the course.
* TUM Informatics Student Code of Conduct
* CAMP presentation slides for PowerPoint: CAMPmaster.ppt
* CAMP presentation slides for Latex
* Student project application template
Literature and Resources
Documentation and Coding Guidelines
MS Visual Studio can be downloaded from TUM StudiSoft.
With your TUM account you can use the LRZ Gitlab
Other useful tools and libraries
Insight Segmentation and Registration Toolkit (ITK)