347 citations · 1.1k across the 34 of their papers we have counts for
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A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging
Yousra Bekhti, Felix Lucka, Joseph Salmon +1
Majorization-minimization (MM) is a standard iterative optimization technique which consists in minimizing a sequence of convex surrogate functionals. MM approaches have been parti…
Model based learning for accelerated, limited-view 3D photoacoustic tomography
Andreas Hauptmann, Felix Lucka, Marta Betcke +6
Recent advances in deep learning for tomographic reconstructions have shown great potential to create accurate and high quality images with a considerable speed-up. In this work we…
Bayesian Modelling of Skull Conductivity Uncertainties in EEG Source Imaging
Ville Rimpiläinen, Alexandra Koulouri, Felix Lucka +2
Knowing the correct skull conductivity is crucial for the accuracy of EEG source imaging, but unfortunately, its true value, which is inter- and intra-individually varying, is diff…
Risk Estimators for Choosing Regularization Parameters in Ill-Posed Problems - Properties and Limitations
Felix Lucka, Katharina Proksch, Christoph Brune +4
This paper discusses the properties of certain risk estimators recently proposed to choose regularization parameters in ill-posed problems. A simple approach is Stein's unbiased ri…