About the course
Course offered by Prof. Nassir Navab
Team: Ardit Ramadani, Lennart Bastian and Tianyu Song (Contact the course tutors)
Type: Praktikum (IN2106, IN4136)
ECTS: 10 Credits
Table of contents
|Table of Contents|
Final presentations (as of 13.07.2022): Zoom link has been provided by email, as well as instructions on uploading the presentation's slides. The order of presentations is based on the Student ID as indicated in the schedule table below.
Intermediate presentations (as of 01.06.2021): Zoom link has been provided by email, as well as instructions on uploading the presentation slides. The order of presentations is based on the Student ID as indicated in the schedule table below.
Requirements presentations (as of 07.05.2022): Zoom link has been provided by email, as well as instructions on uploading the presentation's slides. The order of presentations is based on the 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||12 students||60%|
|2nd choice assigned||5 students||25%|
|3rd choice assigned||2 students||10%|
|no submission||1 student||5%|
Tab. Percentage of assigned projects based on student's preferences
|22 and 24||4 students|
|4, 19, 20 and 23||3 students|
Tab. Top favorite projects (based on student's preferences)
Project announcements (as of 25.04.2022): Projects have been announced. Read through all project proposals and choose three favorite for which you write a short motivation and send it to all tutors by THURSDAY, 28.04.2022 at 23:59 Munich time. 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!
Number of projects
Tab. Percentage of projects from academia and industry
De-registration deadline (as of 09.03.2022): Friday, 15.04.2021, 23:59 Munich Time zone. All students who want to deregister the course without getting booked with a grade, please make sure to send the course tutors an email for deregistration before the deadline.
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.
Preliminary Meeting: The schedule for the preliminary meeting has been published. Please use the zoom details below to join.
ScheduleFor lecture sessions, presentation sessions and changes in the schedule, please also refer to TUMOnline.
|Thursday, 03.02.2022||15:00 - 16:00||Zoom||Preliminary meeting ("Vorbesprechung")||Course tutors|
|Friday, 15.04.2021||23:59 CEST||De-registration Deadline||To: All tutors|
|Monday, 25.04.2022||11:00 - 12:00||Zoom||Lecture 1: Introduction and Project Announcement||Course tutors|
|Tuesday, 26.04.2022||09:00 - 12:00||Zoom|
Lecture 2: Presentation Tips and Project Management
Lecture 3: UML
|Thursday, 28.04.2022||23:59 CEST||Deadline to send project preferences||Seminar Participants||To: All tutors|
|Monday, 09.05.2022||09:00 - 12:00||Zoom||Requirements Presentations||Seminar Participants||Order of presentation from Student ID 01 to 20|
|Tuesday, 10.05.2022||10:00 - 12:00||Zoom||Lecture 4: Documentation, Tests, Design Patterns & Integration Strategy||Course tutors|
|Monday, 13.06.2022||09:00 - 12:00||Zoom||Intermediate Presentations Part I||Seminar Participants||Order of presentation from Student ID 01 to 10|
|Tuesday, 14.06.2022||09:00 - 12:00||Zoom||Intermediate Presentations Part II||Seminar Participants||Order of presentation from Student ID 11 to 20|
|Monday, 18.07.2022||09:00 - 12:00||Zoom||Final Presentations Part I||Seminar Participants||Order of presentation from Student ID 11 to 20|
|Tuesday, 19.07.2022||09:00 - 12:00||Zoom||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.
Medical Device Identity Management
|Dr. Stephan Doerfler (Auguris)||Deren|
Pattern Recognition for the Identification of Medical Devices
|Dr. Stephan Doerfler (Auguris)||Dalia|
Next Generation Data Entry for Data Driven Medicine
|Nicolas Jakob (Avelios)||Gerald|
High-res MRI Compounding with Implicit Neural Representations
|Mohammad Farid Azampour||Abdullah|
Carotid Artery Plaque Segmentation in US Images
|Yuan Bi and Zhongliang Jiang||Inis|
Robotic Ultrasound Calibration
|Yuan Bi and Zhongliang Jiang|
A Real-Time 3D Viewer for Converted NeRFs
|Dr. Benjamin Busam and Patrick Ruhkamp||Jingyao|
Interactive Mobile 3D Acquisition & Calibration
|Dr. Benjamin Busam and Patrick Ruhkamp|
Eye Registration for Cataract CAS
|Fernando Benito (Customsurgical)|
Mobile Measurement Tool for Ophthalmology
|Fernando Benito (Customsurgical)||Ayman|
Deep Learning-based Segmentation of Vertebrae in Magnetic Resonance Volumes
|Francesca De Benetti||Orgest|
Implementation of a Graphical User Interface for Nuclear Medicine Therapy Dosimetry
|Francesca De Benetti||Carl Alexander|
Diffusion-weighted Magnetic Resonance Imaging Quality Enhancement for Automated Probabilistic Tractography
|Francesca De Benetti||Marcos|
Salivary Glands Segmentation from PET/CT Images for Dosimetry Applications in Nuclear Medicine
|Francesca De Benetti||Natalia|
API Integration for VR Simulator
Breast Imaging Viewer
|Mickael Tardy and Vanessa Gonzalez|
CVAT for Medical Imaging
|Mickael Tardy and Vanessa Gonzalez||Philipp|
Augmented Reality Planning and Navigation for Craniotomy
|Vera Hug (Brainlab AG)||Stella|
Automated Noise Removal Feature for Mentalab Explore data stream
|Dr. Sebastian Herberger (Mentalab)||Fitri Nadira|
Human-Machine Interfacing using Deep Learning Multimodal Biosignal Processing
|Dr. Sebastian Herberger (Mentalab)||AytekinMentalab-Human-Machine-Interfacing-using-Deep-Learning-Multimodal-Biosignal-Processing.pdf|
ImFusion plugin for EM Catheter Tracking in Pre-operative MR/CT Images
Hydration Status Prediction through Automated Urine Colour Analysis
|Eva Busam, Dr. Claudia Osterkamp-Baerens and Dr. Benjamin Busam (Topathleat)||Skander|
Automation of the ML Lifecycle of Medical Applications
|Diogo Ferreira de Almeida and Moritz Jung (Virtonomy)||Dilruba|
Deep Learning Spine Segmentation
|Diogo Ferreira de Almeida and André Mourato (Virtonomy)||Alin|
Web-based Heart Statistical Shape Model
|Diogo Ferreira de Almeida and Gloria Zoernack (Virtonomy)||Miroslav|
Topic: PMSD SS22 - Preliminary meeting
Time: Feb 3, 2022 03:00 PM Amsterdam, Berlin, Rome, Stockholm, Vienna
Join Zoom Meeting
Prerequisites and RegistrationThis 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 ProposalsIn 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 Summer Semester 2022.
* 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)