Fabian Isensee

Fabian Isensee is heading the Helmholtz Imaging support team 'Applied Computer Vision Lab'. His team solves concrete image analysis problems brought to them from researchers all across the Helmholtz Association and beyond. Hereby, the focus is on classical computer vision tasks, such as segmentation, classification and detection. Not being primarily a research group, their solutions are pragmatic, data-driven and prioritise maximum performance. Being in touch with numerous research domains and applications, the team possesses valuable expertise that allows them to rapidly solve new problems. Naturally, his team is always eager to participate in image analysis competitions to refine their skills and stay up to date with the most recent developments in the field.
Within his team, Fabian focuses on condensing lessons learned from a multitude of applications into easy-to-use solutions that can be applied even by non-experts. A popular example is nnU-Net, an automated segmentation framework that took the Medical Imaging community by storm.

Projects:

• Helmholtz Imaging
• nnU-Net

Interests:

• Automated image analysis (segmentation, classification, detection)
• Pragmatic solutions
• Data-driven AI
• dataset design & efficient data annotation