The Research Group
Marc Aubreville
Professor
Head of the Visual Computing Group at Flensburg University of Applied Sciences
Pattern Recognition Lab, University of Würzburg
Formerly the Artificial Intelligence in Medical Imaging (AIMI) group at FAU Erlangen-Nürnberg.
Focusses on interdisciplinary questions in medical imaging across applications and modalities by developing robust & reliable machine learning approaches, including and beyond microscopy. We are especially interested in advancing computational methods for intraoperative & multimodal imaging and machine learning in the context of microscopy. Additionally, we work on fundamental aspects in machine learning: we develop tools for efficient labelling and data set generation, investigate the impact of human behaviour in this process, and research methods for label-efficient learning.
Team members
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Anne Tjorven Büßen
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Jingna Qiu
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Maja Schlereth
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Jonas Utz
- Moritz Schillinger
- Fateme Atayi
- Dominik Perrin
- Ahmed Aboelela
- Xingjian Kang
- Alexandra Stoll
Alumni
Visual Computing Research Group
Flensburg University of Applied Sciences — formerly the Ingolstadt Medical Imaging Group (IMIG).
Focuses on bringing AI-based solutions to application in the clinical environment. This includes the very relevant question around inducing bias into the medical decision process and other use case topics. We work in close collaboration with pathologists and radiologists and investigate robustness and the expert-centric AI workflow. Further, we investigate solutions for computer-aided labelling to curate large-scale data sets, with special focus on dataset quality amidst inter-rater discrepancy and potential biases induced by a computer-aided workflow.
Team members
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Jonas Ammeling
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Emely Rosbach
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Sweta Banerjee
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Nils Porsche
- Niklas Hargarter