Theses and Research Projects
According to the general examination requirements of AIBE §48.1, you need at least 60 ECTS to begin a master’s thesis!
Please directly contact a team member of SPARC if you have a particular interest in a project or topic for a thesis. Do not forget to include a transcript of records with all applications!
Please directly contact a team member of SPARC if you have a particular interest in a project or topic for a thesis. Do not forget to include a transcript of records with all applications!
Master theses:
As part of the thesis, a prototyp for keeping the suture thread under tension (on demand) is to be designed and realised.
Required skills:
- Fluent in English or German
- Basic knowledge in mechatronics
- Experience in designing of mechanical prototype
- Experience in realising said prototype
- Working independent and self-supervised
- [optional] Basic coding skills and electrical engineering (if an automated system is used)
Supervisor:
Steffen Peikert
PhD Candidate
AIBE-SPARC
Department Artificial Intelligence in Biomedical Engineering (AIBE)
- Email: steffen.peikert@fau.de
Relevant video (from 04:40 – 05:03):
As part of the thesis, a script to generate synthetic vasculature scenes is to be created (e.g., using python and blender). The textured scene should match a given prototype. For the second half of the thesis, the generated scene is used to train a neural network to apply a style-transfer onto the synthetic images from the dataset to simulate realistic looking fluoroscopic images.
Tasks:
- Generate physical data using bench top platform and/or synthetic data using a simulator such as Blender
- Design, train, and evaluate a fluoroscopy simulation algorithm using style transfer techniques
- Participate in weekly team meetings, with updates on progress
- Train and test the style-transfer network on your generated data set
Required skills:
- Fluent in English
- Good and clean(!) coding skills
- Fundamentals of neural networks, training and validation
- Machine Learning: Deep Learning
- Working independent and self-supervised
Good-to-have skills:
- Basic experience with Blender
- Basic understanding of style-transfer networks
- Basic hardware experience
Supervisor:
Steffen Peikert
PhD Candidate
AIBE-SPARC
Department Artificial Intelligence in Biomedical Engineering (AIBE)
- Email: steffen.peikert@fau.de