About the course
Course offered by Prof. Nassir Navab
Team: Ardit Ramadani, Zhongliang Jiang, Lennart Bastian and Tianyu Song (Contact the course tutors)
Type: Praktikum (IN2106, IN4136)
SWS: 6
ECTS: 10 Credits
Table of contents
Announcements
Final presentations (as of 03.02.2022): 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. Group presentations where the student IDs are separated in two days, will present in the second session (Tuesday 08.02.2022).
Intermediate presentations (as of 07.12.2021): 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. Group presentations where the student IDs are separated in two days, will present in the first session (Monday 13.12.2021).
Requirements presentations (as of 06.11.2021): 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 26 in order.
Project assignment (as of 22.10.2021): 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!
Choice | Number of students | Percentage |
---|---|---|
1st choice assigned | 18 students | 69% |
2nd choice assigned | 5 students | 19% |
3rd choice assigned | 2 students | 8% |
no submission | 1 student | 4% |
Tab. Percentage of assigned projects based on student's preferences
Project Number | Selected by |
---|---|
23 | 4 students |
5, 10, 11, 12, 13 and 24 | 3 students |
Tab. Top favorite projects (based on student's preferences)
Project announcements (as of 18.10.2021): 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, 21.10.2021 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!
Source | Number of projects | Percentage |
---|---|---|
Academia | 22 projects | 61% |
Industry | 14 projects | 39% |
Tab. Percentage of projects from academia and industry
De-registration deadline (as of 23.07.2021): Friday, 01.10.2021, 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.
Schedule
For lecture sessions, presentation sessions and changes in the schedule, please also refer to TUMOnline.
Date | Time | Place | Topic | Conducted by | Materials |
---|---|---|---|---|---|
Friday, 16.07.2021 | 17:00 - 18:00 | Zoom | Preliminary meeting ("Vorbesprechung") | Course tutors | |
Friday, 01.10.2021 | 23:59 CEST | De-registration Deadline | To: All tutors | ||
Monday, 18.10.2021 | 09:00 - 10:00 | Zoom | Lecture 1: Introduction and Project Announcement | Course tutors | |
Tuesday, 19.10.2021 | 09:00 - 12:00 | Zoom | Lecture 2: Presentation Tips and Project Management Lecture 3: UML | ||
Thursday, 21.10.2021 | 23:59 CEST | Deadline to send project preferences | Seminar Participants | To: All tutors | |
Monday, 08.11.2021 | 09:00 - 12:00 | Zoom | Requirements Presentations | Seminar Participants | Order of presentation from Student ID 01 to 26 |
Tuesday, 09.11.2021 | 10:00 - 12:00 | Zoom | Lecture 4: Documentation, Tests, Design Patterns & Integration Strategy | Ardit Ramadani | |
Monday, 13.12.2021 | 09:00 - 12:00 | Zoom | Intermediate Presentations Part I | Seminar Participants | Order of presentation from Student ID 01 to 13 |
Tuesday, 14.12.2021 | 09:00 - 12:00 | Zoom | Intermediate Presentations Part II | Seminar Participants | Order of presentation from Student ID 14 to 26 |
Monday, 07.02.2022 | 09:00 - 12:00 | Zoom | Final Presentations Part I | Seminar Participants | Order of presentation from Student ID 14 to 26 |
Tuesday, 08.02.2022 | 09:00 - 12:00 | Zoom | Final Presentations Part II | Seminar Participants | Order of presentation from Student ID 01 to 13 |
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 | |
---|---|---|---|---|
0A | MDOP - The Medical Device Operational Platform | Stephan Doerfler | Maria-Alexandra | |
0B | Location Recognition for Laparoscopic Surgery | Regine Hartwig | Jakob | |
0C | AI-based Swallow Analysis for Dysphagia Diagnostics | Daniel Ostler | David | |
0D | Impacts of Interhemispheric Connection on Aphasia Levels and Language Prognosis in Brain Tumor Patients | Dr. Sebastian Ille and Haosu Zhang | Kartikay | |
0E | Web-based Virtual Reality for Dynamic 3-Dimensional Cardiac Doppler Ultrasound | Georg Schummers | Mona | |
0F | Low-cost Height and Weight Measurement of Babies | Martin Weiss | Josh | |
0G | A Combined Simulation Approach for Blood Substitute Flow and Oxygen Delivery | Prof. Dr. Ilona Grunwald Kadow | Raimon | |
0H | System for Mosaicking ɣ-camera images – making scintigraphy available to poor countries and pets | Dr. Thomas. Wendler | Oleksandra Ege | |
01 | Gating failure correction for myocardial perfusion imaging | PD Dr. Stephan Nekolla and Alberto Villagran | 01_Villagran-Gating-failure-corrector-for-myocardial-perfusion-imaging.pdf | |
02 | Performance Assessment in Cataract Surgery Training | Federico Acosta and Borja Sánchez | Dialekti Athina | |
03 | Advanced Image Acquisition in Ophthalmology | Federico Acosta and Ferdnando Benito | ||
04 | Mobile Measurement Tool for Ophthalmology | Federico Acosta and Borja Sánchez | ||
05 | Digital ICU: Data Processing and Visualization Pipeline for Patient Data in Intensive Care Unit | Chen Ee Heng | Metin | |
06 | Do surgeons actually use an Augmented Reality System? - Eye Gaze Data Analysis | Tianyu Song and Lennart Bastian | ||
07 | Medical Reports Based Data Mining of Myocardial Perfusion Imaging Studies | PD Dr. Stephan Nekolla and Alberto Villagran | Alexandra-Diana | |
08 | Visualization of Logged Athlete-diets | Dr. Claudia Osterkamp-Baerens and Eva Bussam | Catarina | |
09 | GUI Development for Calibration, Planning, and Steering a Robot during Subretinal Surgery | Kristina Mach and Alejandro Martin-Gomez | ||
10 | Web-based Heart Statistical Shape Model | Diogo Ferreira de Almeida, Wen-Yang Chu | Heidi | |
11 | Automatic Deep Learning-based Whole Heart Segmentation Using Landmark Points from 3D Cardiac CT Images | Soroosh Tayebi Arasteh | Ali | |
12 | Whole-Heart Mesh Reconstruction from Medical Images | Diogo Ferreira de Almeida, Wen-Yang Chu | Yitong | |
13 | Modelling and Visualization of Structured Radiology Reports as Graphs | Kristina Mach, Ashkan Khakzar and Matthias Keicher | Sebastian | |
14 | Spine CT Deep Learning Processing and Dataset Creation | Kristina Mach, Ashkan Khakzar and Matthias Keicher | Lukas | |
15 | AI Benchmarking Platform | Rami Eisway | ||
16 | ImFusion plugin for EM Catheter Tracking in Pre-opeartive MR/CT Images | Ardit Ramadani | Miruna-Alexandra Aditya | |
17 | Motion Correction in Prostate PET/MRI: Image Registration | PD Dr. Stephan Nekolla and Borjana Bogdanovic | ||
18 | Medical Imaging: A (Python) GUI to rule them all | PD Dr. Stephan Nekolla and Esteban Lucas Solari | Tobias | |
19 | The fault in our counts: can CNNs prove tumor motion? | PD Dr. Stephan Nekolla and Esteban Lucas Solari | ||
20 | Correction of Tracking Data for better TRUS Volume Compounding | Mohammad Farid Azampour | ||
21 | Development of a Mobile App for a Wireless Biosignal Device | Dr. Sebastian Herberger | Sonja | |
22 | Automated Noise Removal Feature for Mentalab Explore data Stream | Dr. Sebastian Herberger | ||
23 | Development of a Human-Machine Interface based on Multimodal Biosignal Processing | Dr. Sebastian Herberger | Mayar | |
24 | Deep Learning Based iOCT Image Enhancement | Michael Sommersperger | Andrea-Renáta | |
25 | Surgical Assist Control | Dr. Ali Nasseri | ||
26 | Image-guided Robotic Eye Surgery | Shervin Dehghani | ||
27 | Improving OR Patient Recognition | Lennart Bastian | Zeynep | |
28 | Energy Efficient of Brain-inspired Neural Networks | Dr. Gabriel Castrillon |
Students
All students indicated in the table below have a fixed place in the course for the WS21/22.
ID | Name | ID | Name | ID | Name | ID | Name | ID | Name | ID | Name |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kartikay | 6 | Aditya | 11 | Mona | 16 | Alexandra-Diana | 21 | Jakob | 26 | Heidi- |
2 | David | 7 | Andrea-Renáta | 12 | Zeynep | 17 | Josh | 22 | Maria-Alexandra | 27 | |
3 | Dialekti Athina | 8 | Sebastian | 13 | Yitong | 18 | Ali | 23 | Catarina | 28 | |
4 | Raimon | 9 | Idil- | 14 | Sonja | 19 | Tobias | 24 | Ege | 29 | |
5 | Oleksandra | 10 | Mayar | 15 | Miruna-Alexandra | 20 | Lukas | 25 | Metin- | 30 |
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 2021.
Preliminary Meeting
Topic: PMSD WS2021 - Preliminary meeting ("Vorbesprechung")
Date: Friday, 16 July 2021
Time: 17:00 (Amsterdam, Berlin, Rome, Stockholm, Vienna time) (updated time)
Link:
Meeting ID:
Passcode:
Downloads
* TUM Informatics Student Code of Conduct
* CAMP presentation slides for PowerPoint: CAMPmaster.ppt
* CAMP presentation slides for Latex
* Student project application template
* Supervisor project proposal template
Literature and Resources
Github
With your TUM account you can use the LRZ Gitlab