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07/19/2023
Learning-based approaches for reconstructions with inexact operators in nanoCT applications
Imaging problems such as the one in nanoCT require the solution of an in...
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07/19/2023
Bayesian view on the training of invertible residual networks for solving linear inverse problems
Learning-based methods for inverse problems, adapting to the data's inhe...
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06/20/2023
Dynamic image reconstruction with motion priors in application to 3D magnetic particle imaging
Various imaging modalities allow for time-dependent image reconstruction...
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06/02/2023
Invertible residual networks in the context of regularization theory for linear inverse problems
Learned inverse problem solvers exhibit remarkable performance in applic...
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10/13/2020
A simulation framework for particle magnetization dynamics of large ensembles of single domain particles: Numerical treatment of Brown/Néel dynamics and parameter identificati
Magnetic nanoparticles and their magnetization dynamics play an importan...
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07/03/2020
Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset
Magnetic particle imaging (MPI) is an imaging modality exploiting the no...
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04/27/2020
Joint super-resolution image reconstruction and parameter identification in imaging operator: Analysis of bilinear operator equations, numerical solution, and application to ma
One important property of imaging modalities and related applications is...
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01/16/2020
L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset
Magnetic particle imaging is an emerging quantitative imaging modality, ...
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