Title: Non-smooth methods for inverse problems in biomedical imaging
Organizer(s): Kristian Bredies and Christian Clason, Institute for Mathematics and Scientific Computing, University of Graz
Speakers: Kristian Bredies, University Graz
TGV2-regularization for inverse problems and applications in medical imaging

Matthias Gehre, University of Bremen
Electrical Impedance Tomography with the complete electrode model and sparsity constraints

Antoine Laurain, RWTH Aachen
A shape and topology optimization method for the resolution of inverse problems

Matthias Schlottbom, RWTH Aachen
Analysis of forward and inverse models in fluorescence optical tomography
Abstract: The goal of this minisymposium is to present the mathematical and practical application of modern methods in non-smooth optimization (e.g., sparsity or total variation constraints and shape or topological calculus) to inverse problems arising in biomedical imaging. We aim at bringing together researchers who apply these methods to real-world data.

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