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Surgical Planning and Robotic Cognition
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Surgical Planning and Robotic Cognition

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Theses and Research Projects

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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!

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

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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

Research projects:

Friedrich-Alexander-Universität
Erlangen-Nürnberg

Schlossplatz 4
91054 Erlangen
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