What is the future of Artificial Intelligence? Are the boundaries or questions we are missing? How can we develop methods to improve AI? Is it safe to whole-heartedly apply AI to health (I use AI synonymously with Deep Learning)? How are those safe systems characterized?
I guess at this point, it would be clear, that I am interested in research to answer these questions.
I work at the German Center for Neurodegenerative Diseases in Martin Reuter’s Image Analysis Group (Bonn, Germany). Together with students and researchers, I investigate how to increase the impact of AI for neuro-imaging. For this, we develop new methods and transfer them to neuro-imaging applications.
Before joining Martin’s group and as part of my PhD, I worked on “making CAI AI-ready” at the Department of Computer Science, Technical University Darmstadt (Darmstadt, Germany). Some recent publications stem from my work with my supervisors Anirban Mukhopadhyay and Prof. Fellner from the Interactive Graphics Systems group.
Even before that I did a mechanical engineering degree at the RWTH Aachen (Aachen, Germany). During studies there and high school I went abroad to New Zealand and the U.S. for a year each.
Publications
Awards and Special Things
Best Paper Award cdmri’20 Workshop
Best Machine Learning Paper Award IPCAI 2020
IPCAI Distinguished Reviewer (2021), IPCAI Outstanding Reviewer (2024)
MICCAI Outstanding Reviewer (2020, 2019; Honorable Mentions: 2022)
DAAD ISAP-scholarship (2010)
Reviewing
Journals: MedIA, NeuroImage, TMI, Imaging Neuroscience, IJCARS, Visual Computer, Medical Physics, Human Brain Mapping
Conferences: MICCAI (2019-2022), CVPR (2022-2024), ECCV (2022, 2024), MIDL (2022-2023), IPCAI (2021-2024)
Workshops: MICCAI-CLIP, AE-CAI, DGM