Sparsity reconstruction in electrical impedance tomography: An experimental evaluation. - Matthias Gehre; Tobias Kluth; Antti Lipponen; Bangti Jin; Aku Seppänen; Jari P. Kaipio; Peter Maass (J. Comput. Appl. Math., 2012)

Statistical Invariants of Spatial Form: From Local AND to Numerosity. - Christoph Zetzsche; Konrad Gadzicki; Tobias Kluth (SHAPES, 2013)

Affordance-Based Object Recognition Using Interactions Obtained from a Utility Maximization Principle. - Tobias Kluth; David Nakath; Thomas Reineking; Christoph Zetzsche; Kerstin Schill (ECCV Workshops (2), 2014)

Spatial Numerosity: A Computational Model Based on a Topological Invariant. - Tobias Kluth; Christoph Zetzsche (Spatial Cognition, 2014)

Active Sensorimotor Object Recognition in Three-Dimensional Space. - David Nakath; Tobias Kluth; Thomas Reineking; Christoph Zetzsche; Kerstin Schill (Spatial Cognition, 2014)

Adaptive Information Selection in Images: Efficient Naive Bayes Nearest Neighbor Classification. - Thomas Reineking; Tobias Kluth; David Nakath (CAIP (1), 2015)

Intrinsic dimensionality in vision: nonlinear filter design and applications. - Tobias Kluth (2015)

An evidential approach to SLAM, path planning, and active exploration. - Joachim Clemens; Thomas Reineking; Tobias Kluth (Int. J. Approx. Reason., 2016)

β-SLAM: Simultaneous localization and grid mapping with beta distributions. - Joachim Clemens; Tobias Kluth; Thomas Reineking (Inf. Fusion, 2019)

A Deep Prior Approach to Magnetic Particle Imaging. - Sören Dittmer; Tobias Kluth; Daniel Otero Baguer; Peter Maass (MLMIR@MICCAI, 2020)

L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset. - Tobias Kluth; Bangti Jin (CoRR, 2020)

Joint super-resolution image reconstruction and parameter identification in imaging operator: Analysis of bilinear operator equations, numerical solution, and application to magnetic particle imaging. - Tobias Kluth; Christine Bathke; Ming Jiang 001; Peter Maass (CoRR, 2020)

Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset. - Sören Dittmer; Tobias Kluth; Mads Thorstein Roar Henriksen; Peter Maass (CoRR, 2020)

A simulation framework for particle magnetization dynamics of large ensembles of single domain particles: Numerical treatment of Brown/Néel dynamics and parameter identification problems in magnetic particle imaging. - Hannes Albers; Tobias Kluth; Tobias Knopp 001 (CoRR, 2020)

Regularization by Architecture: A Deep Prior Approach for Inverse Problems. - Sören Dittmer; Tobias Kluth; Peter Maass; Daniel Otero Baguer (J. Math. Imaging Vis., 2020)

Invertible residual networks in the context of regularization theory for linear inverse problems. - Clemens Arndt; Alexander Denker; Sören Dittmer; Nick Heilenkötter; Meira Iske; Tobias Kluth; Peter Maass; Judith Nickel (CoRR, 2023)

Dynamic image reconstruction with motion priors in application to 3D magnetic particle imaging. - Christina Brandt; Tobias Kluth; Tobias Knopp 001; Lena Westen (CoRR, 2023)

Bayesian view on the training of invertible residual networks for solving linear inverse problems. - Clemens Arndt; Sören Dittmer; Nick Heilenkötter; Meira Iske; Tobias Kluth; Judith Nickel (CoRR, 2023)

Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data. - Alexander Denker; Zeljko Kereta; Imraj RD Singh; Tom Freudenberg; Tobias Kluth; Peter Maass; Simon R. Arridge (CoRR, 2024)

Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging. - Christina Brandt; Tobias Kluth; Tobias Knopp 001; Lena Westen (SIAM J. Imaging Sci., 2024)

Learning-Based Approaches for Reconstructions With Inexact Operators in nanoCT Applications. - Tom Lütjen; Fabian Schönfeld; Alice Oberacker; Johannes Leuschner; Maximilian Schmidt; Anne Wald; Tobias Kluth (IEEE Trans. Computational Imaging, 2024)

Equilibrium Model With Anisotropy for Model-Based Reconstruction in Magnetic Particle Imaging. - Marco Maaß; Tobias Kluth; Christine Droigk; Hannes Albers; Konrad Scheffler; Alfred Mertins; Tobias Knopp 001 (IEEE Trans. Computational Imaging, 2024)

Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging. - Meira Iske; Hannes Albers; Tobias Knopp 001; Tobias Kluth (CoRR, 2025)