Research interests

My primary research interest revolves around geometric models for the analysis of volumetric data. This includes volumetric segmentation (an example is a geometry-based segmentation of human peripheral nerves using this tool), tomographic segmentation and methods based on deformable meshes. I work on applications in material science, energy materials, medicine, diagnostics, and food quality control.

Another interest involves 2D and 3D texture analysis — see examples demonstrating a probabilistic framework for curve evolution. I also work on 3D methods for digitizing cultural heritage. Take a look at a prize-winning motivational video prepared by a PhD student Dolores Messer, and optical scans of some skulls. Finally, I work with analyzing OCT and OCTA images for ophthalmology, see for example our video from ISBI 2020.

Some of my work is on displayed in my poster gallery. Segmentation tool InSegt is explained in this CVMI@CVPR video. Check also Patrick's and Niels' videos from CVPR 2020. ICCV2021 is also virtual, so another video by Niels.


For a complete and updated list of publications see my Orbit page or my DTU profile.