Research and projects

Current research:

Our main research topic is the development of intelligent algorithms in automatic image and signal processing with methods of machine learning, deep learning and pattern recognition. This research is carried out in the working group "Pattern recognition and machine learning" jointly with Prof. Hauke Schramm in the main research area "smart environments".


Current projects:

Automatic localization and classification of spatially correlated objects in medical images (ALKO-fit)


More topics (e.g. on time series prediction with LSTMs, medical image analysis, automatic image generation with generative adversarial networks) are available.

We are looking for students for student work, bachelor and master projects and theses!