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M. Sc.

Agata Labiak

Research Engineer

Agata Łabiak has a master’s degree in Biomedical Computing from the Technical University of Munich. She initially joined Fraunhofer as a student and worked on neuromorphic computing, exploring the potential of brain-inspired Spiking Neural Networks. Following her graduation, she has joined the Trustworthy Digital Healthcare team as a full-time employee in 2025. Her experience is mainly in developing AI solutions for medical images with focus on MRI and neuroimaging, including work on Graph Neural Networks, self-supervised learning methods, and XAI.

Articles

by Agata Labiak

  • I Stock 2036497686 Jacob Wackerhausen

    AI in medicine
    Using AI for facial fracture detection

    Consultation projects play a crucial role in fulfilling the Fraunhofer mission of translating cutting-edge research into industry applications. Recently, Fraunhofer IKS cooperated with the South Korean company ZIOVISION on AI-based facial fracture segmentation from medical images. The successful outcome of the project demonstrates the potential benefits such collaborations offer to both partners.
    Artificial intelligence & Machine learning / Fraunhofer IKS
    AI in medicine