About the course
Team: Javier Esteban, Hendrik Burwinkel, Ardit Ramadani, Zhongliang Jiang (Contact the course tutors)
6 SWS (10 ECTS) | TUMOnline
Final Presentation Schedule (13 July 2020): Please check the Final Presentation Schedule. Students will present on chronological order based on the project ID.
Intermediate Presentation Schedule update (26 May 2020): Please check the new updated date for the Intermediate Presentation. Also check the Presentation Schedule, since the Presentations are going to be split in two dates. Students will present on chronological order based on the project ID.
Presentation Template Updated (04 May 2020): We have updated the Presentation Template, you can use the new template for the upcoming presentations (see Download section).
Project Assignment (24 April 2020): The assignment of projects has been published. Around 56% of students got their first choice, 33% their second and 11% their third. Please write to your supervisors as soon as possible. Best of Luck!
Updates due to Corona virus CoViD-19 outbreak (15 April 2020): All Lectures and Student Presentations, until any further notice, are scheduled to be held online through Zoom. The next lecture on "Introduction & Project Announcements" is scheduled for Monday, April 20, 10:30 - 12:00. Make sure that you have Zoom installed and ready for the lecture before Monday. An email will be sent to all students with instructions and code/password to join the lecture. Please follow course's web-site and TUMOnline for any further announcements.
De-registration deadline: Friday, March 6, 23:59, 2020
For workshops and presentation schedule, please refer to TUMOnline.
|Monday, 03.02.2020||18:00 - 19:00||Online||Preliminary meeting ("Vorbesprechung")||Course Tutors|
|Monday, 20.04.2020||10:30 - 12:00||Online||Lecture: Introduction and Project Announcement||Course Tutors|
09:30 - 12:00
Lecture: Presentation Tips and Project Management
|23:59 CEST||Deadline to send project preferences||Seminar Participants|
|Monday, 04.05.2020||09:00 - 12:00||Online||Requirements Presentation||Seminar Participants|
|Tuesday, 05.05.2020||10:00 - 12:00||Online||Lecture: Documentation, Tests, Design Patterns & Integration Strategy||Ardit Ramadani|
|09:00 - 12:00||Online||Intermediate Presentations I|
|From Project ID 01 to ID 10|
|Monday, 08.06.2020||09:00 - 12:00||Online||Intermediate Presentations II|
|From Project ID 11 to ID 23|
|Monday, 20.07.2020||09:00 - 12:00||Online||Final Presentations Part I||Seminar Participants||From Project ID 11 to ID 23|
|Tuesday, 21.07.2020||09:00 - 12:00||Online||Final Presentations Part II||Seminar Participants||From Project ID 01 to ID 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.
|1||Deep learning-based cardiac anatomy 3D model reconstruction||Gloria Zörnack||Zihan|
|2||Population-based visualization and design recommendation system||Gloria Zörnack||Mariia|
|3||Visualizing Organs in Augmented Reality Laparoscopy||Mathias Grimm|
|4||Minimap to improve spatial awareness||Mathias Grimm||Diana-Elena|
|5||Deep Real World Deployment||Christoph|
|6||Landmark detection on spine DRRs||Javier Esteban||Luis Francisco|
|7||Depth estimation on laparoscopic Images||Paul||07_Farid_Depth_estimation_laparoscopic.pdf|
|8||Automatic Segmentation of Metallic Implants||Thomas Wendler||Martín|
|9||Python Framework for Vertebra Segmentation from CT images||Thomas Wendler||Bailiang|
|10||Simulation of UV-Light Irradiation for Room Disinfection (incl. CoViD-19)||Thomas Wendler||Sonja|
Needle Bending Detection and Estimation for Subretinal Injection using OCT volumes
|12||Diagnosis of COVID-19 on CT Scans: Effective Training Methods by Leveraging Unlabeled Data||Seong Tae Kim||Marije|
|13||Nuclear Medicine/Imaging Learning and Training with a Magic Mirror||Daniel Roth|
|14||Voice Communication in VR/AR Asymmetric Distributed Medical Teleconsultation Systems||Daniel Roth|
|15||Efficient AR/VR Asymmetric Rendering for Distributed Medical Teleconsultation Systems||Daniel Roth|
|16||Optimized Networking for VR/AR Asymmetric Distributed Medical Teleconsultation Systems||Daniel Roth|
|17||Collaborative Augmented Reality Nuclear Medicine/Imaging Learning and Training||Daniel Roth|
|18||Using a GAN to synthetize B-mode ultrasound from label maps||Maria Tirindelli||Yadunandan|
|19||Deep Learning-based Intoxication Inference Web App for the Toxicology Department at MRI|
|20||Automatic 3D Segmentation of Lung and its Lobes for disease prognosis of CoViD-19 patients||Icxel|
Automatic 3D Segmentation of Spinal Cord
|22||Automated identification of brain areas at risk of hemodynamic impairments by machine learning||Carolin Pirkl||Zeynab||22_Carolin_Pirkl_Hemodynamics_MRI.pdf|
|23||Classiﬁcation and Detection of the Dermatological Lesions based on the Deep Neural Networks||Tobias Lasser||Yawei|
When: 03.02.2020 -18:00 to 19:00
Where: CAMP Seminar Room 03.13.010
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 TBD.
* TUM Informatics Student Code of Conduct
* TUM Citation Guide
* CAMP presentation slides for PowerPoint (Updated!): CAMPmaster.ppt
* CAMP presentation slides for Latex
* Student project application template
* Supervisor project proposal 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