Felicitas Brokmann

Research

Research Interests

• Neural Networks and Deep Learning
• Medical Image and Signal Processing
   

Current projects:

• Verbundprojekt „Frakturheilungsassistent“

Curriculum Vitae

Felicitas Brokmann holds a B.Sc. degree in Medical Engineering from Otto-von-Guericke University Magdeburg, since 2021. In her bachelor’s thesis she developed a software demonstrator for monitoring and assessing thermal ablations of the liver. In 2024 she received her M.Sc. degree in Medical Engineering Science with a focus on Medical Image Processing from Universität zu Lübeck. For her master’s thesis she investigated the impact of imbalanced medical CT datasets on the performance of self-supervised learning approaches. She gained practical experience through internships and student research assistant positions in academia and industry, including work on the quality prediction of X-ray images using neural networks, the segmentation and processing of 3D volumetric data, and multimodal imaging