Teaching
Lectures
Below you will find all our courses, divided into courses of the current semester and all possible courses.
If you have any questions about the courses offered, don't hesitate to get in touch with the responsible scientific staff member or lecturer.
Lectures Summer Semester 23
All Lectures
Master
Bachelor
Theses at the DigiHealth Institute
Current developments and innovations in the digitalization of healthcare offer a wide range of opportunities for exciting and challenging research projects. Therefore, we are happy to support students with their bachelor or master thesis and can also help you with the preparation of a topic. Here you can find a list of current and past theses of our research group. Often, theses are integrated into our ongoing research projects and are conducted in collaboration with clinical or other partners. We therefore encourage the writing and publication of theses as scientific articles.
Looking for a thesis?
... then the best thing to do is to get in touch with us right away.
If you have further suggestions for topics, you are welcome to contact one of our employees on your own initiative.
A guideline for the preparation of theses can be found here (opens in a new window) (German only).
The Word template for the preparation of theses can be found here (opens in a new window) (German only).
Policy analysis neu German Digital Health Strategy with prev., fragmented strategy
An anylsis of the existing, very fragemented strategy has already been conducted.
The aim of this topic is to comparte these data with the new strategy "GEMEINSAM DIGITAL: Digitalisierungsstrategie für das Gesundheitswesen und die Pflege"
For more information, please contact: felix.holl[at]hnu[dot]de
Use of gamification in knowledge transfer in the mental health field: development of gamification tools to improve adherence and learning success in an app for caregivers of children with autism and/or intelligence impairment
For more information on the topic gladly in a personal conversation at: maximilian.karthan[at]hnu[dot]de
Gamification as a support in the on-boarding process and to structure long-term app use: development of a user guide for a mental health app for caregivers of children with autism and/or intelligence impairment
For more information on the topic gladly in a personal conversation at: maximilian.karthan[at]hnu[dot]de
Tumor Segmentation with „Segment Anything Model“ (SAM), DINOv2, and U-Net - Which Model Performs Best?
- Comparison of the current/former state-of-the-art model U-Net with Metas SAM and DINOv2 backbone.
- Master thesis with PyTorch experience
- Includes the "Training the Segment Anything Model (SAM) for tumor segmentation" topic
- Data is available through UK-Augsburg/TUM
For more information on the topic gladly in a personal conversation at: daniel.hieber[at]hnu[dot]de
Training of the „Segment Anything Model“ (SAM) for Tumor Segmentation
- SAM should to be trained on an available dataset for tumor segmentation
- Bachelor thesis
- PyTorch experience advantageous but not necessary
- Data is available through UK-Augsburg/TUM
For more information on the topic gladly in a personal conversation at: daniel.hieber[at]hnu[dot]de
Label Cleanup and Preprocessing for Tumor Segmentation
- Various projects in the area of:
- Pre-processing of Whole-Slide Images for Machine Learning (segmentation).
- Development of algorithms for the creation of data sets (classification)
- ...
- Project up to master thesis, depending on complexity
- Some projects are also possible without programming experience
- Data is available through UK-Augsburg/TUM
For more information on the topic gladly in a personal conversation at: daniel.hieber[at]hnu[dot]de
Segmentation of Tumor-Tissue in Histopathological Imaging
- Development of new / improvement of existing Machine Learning models for segmentation of glioblastomas.
- Project up to master thesis, depending on complexity
- Partial projects also possible without previous experience in programming
- In some cases, steps from "Label Cleanup and Preprocessing" may have to be dealt with
- Data is available through UK-Augsburg/TUM
For more information on the topic gladly in a personal conversation at: daniel.hieber[at]hnu[dot]de
Computer Vision in Healthcare
Would you like to write a thesis in the field of computer vision in medicine, but none of the listed topics appeals to you?
Then just contact me and let's see if we can find a topic we both like: daniel.hieber[at]hnu[dot]de
Programming skills are welcome but not a must if you want to get into the field.
Use of LoRaWAN in Ambient Assisted Living Scenarios
- Comparison of current technologies and alignment of requirements
- Evaluation of suitability for use and architecture
- Limitations of the technology
For more information on the topic gladly in a personal conversation at: johannes.schobel[at]hnu[dot]de
Requirements for Mental Health Apps in the Clinical Setting
- Structured collection of requirements
- Matching of requirements from literature
- possibly UI prototypes with mockups
For more information on the topic gladly in a personal conversation at: johannes.schobel[at]hnu[dot]de
Requirements Analysis for Tablet-Based Documentation in Medical Emergency Scenarios
- Structured collection of requirements from different stakeholders
- Comparison with existing literature
For more information on the topic gladly in a personal conversation at: johannes.schobel[at]hnu[dot]de
Development of a UI Concept for Tablet-Based Documentation in Medical Emergency Scenarios
- Development of mockups
- Alignment of mockups with stakeholders
- Implement interactive UI/UX concepts
For more information on the topic gladly in a personal conversation at: johannes.schobel[at]hnu[dot]de
Development of a Data Protection Concept for Tablet-Based Documentation in Medical Emergency Scenarios
- What data protection requirements exist in the project context?
- Legal framework
- Related work (e.g. AKTIN)
For more information on the topic gladly in a personal conversation at: johannes.schobel[at]hnu[dot]de
Completed Theses
No suitable work there? Feel free to think of a topic. You may find possible inspiration in the list of completed theses.
