This webinar will be presented by Professor Lassi Roininen (LUT University).

Edges in imaging, that is sharp discontinuities in intensity, pose a significant challenge for inverse problems algorithms that often rely on Gaussian assumptions. Non-Gaussian heavy-tailed priors, which can better model the sparsity and sharp transitions inherent in edges, offer an alternative for edge-preserving image reconstructions. We consider the inherent difficulties in handling edges and highlight the potential of heavy-tailed prior models to transform this problem into a practical engineering solution.

This webinar will be presented by Professor Joonas Ilmavirta (University of Jyväskylä).

Can one deduce the internal structure of the Earth from seismic measurements? Professor Ilmavirta will explain how this problem can be approached with geometric tools, and what kinds of differential and algebraic geometry play a role when the material is anisotropic.

This webinar will be presented by Professor Jussi Tohka (University of Eastern Finland).

Tohka is a Full Professor of Biomedical Image Analysis and head of Biomedical Image Analysis Group at A.I. Virtanen Institute for Molecular Sciences of University of Eastern Finland. His research focuses on developing new methods to analyze imaging data and developing machine learning approaches for predicting the course of brain diseases at individual level.