AI-supported analysis

AI-supported analysis

AI-supported analysis

In both medical and scientific imaging, large amounts of data accumulate that can be processed with the help of AI-supported analysis methods. The challenge is to develop algorithms that map the complex real-world situation in such a way that image data can be evaluated in a more optimised way.

The challenge in image analysis is finding the desired information in a large amount of data. For example, complex movement patterns of living organisms can be analysed and assessed. AI systems can already deliver significantly better and more reliable results than human experts in demanding specialised tasks, such as object recognition and the creation of medical diagnoses.

Data analysis Data analysis

Regional experts:

Prof. Dr. Xiaoyi Jiang

Institute for Computer Science, WWU Münster

  • Image analysis (biomedical, 3D), pattern recognition, machine learning

Prof. Dr. Benjamin Risse

Institute for Computer Science, WWU Münster

  • Biomedical image analysis, image restoration, tracking algorithms and motion analysis, machine/deep learning for image understanding, behavioural analysis, development of imaging systems

Institute for Geoinformatics, WWU Münster

Prof. Dr. Tim Hahn

Institute for Translational Psychiatry, WWU Münster

  • Investigation of neurobiological bases of emotional and cognitive processes that are relevant to or impair psychiatric diseases

Prof. Dr. Ulrich Stöber

Physics Engineering, Münster University of Applied Sciences

  • Medical imaging and image processing, sonography, radiation protection, medical lighting technology (under development)

Best Practices/Applications/Signals:

Westphalia Datalab

  • AI, Data Science and Software Solutions


  • Deep Learning - Development of techniques, methods and systems for machine vision, recognition, interpretation, understanding, interaction, cooperation and support. Machine learning, mathematics and AI are used individually or in combination.



  • AI-supported drug testing with insect model