Hannah Kniesel joined the Visual Computing Research Group in April 2020. She finished her M.Sc. in 2022 with a focus on reconstruction of bio-medical data. Prior to that she completed her Bachelor degree in 2019, also at the University of Ulm.
Research interests
- Deep Learning Techniques for Computer Graphics
- Differentiable Rendering
- Deep Learning Techniques for Biomedical Image Processing
- Synthetic Image Generation
Theses
I’m currently mainly working on Deep Learning techniques for Biomedical Image Processing.
I am interested in everything around this topic.
If you are interested in writing a thesis that fits in this topic, feel free to send me an email or come by my office.
Supervised Theses
5 theses
Bachelor
AMINO - Designing a Tool for Comprehensive Analysis of the Impact of Genetic Mutations on Yeast Cultures
2025
Linus Nadler
Bachelor
Evaluating Synthetic Data Generation for Semantic Segmentation in Electron Microscopy
2024
Pascal Rapp
Master
Active Learning for Improved Classification Model Training
2024
Aysun Arslan
Master
Uncertainty Estimation in Deep Neural Networks for CT Defect Analysis (External Thesis at Zeiss)
2023
Jonas Häussler
Bachelor
PySplitUbi - A program for measurement and analysis of SplitUb arrays
2022
Fabian Thieser
