Tobias Kluth

According to our database, Tobias Kluth authored at least 19 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Dynamic image reconstruction with motion priors in application to 3D magnetic particle imaging.

Christina Brandt, Tobias Kluth, Tobias Knopp, Lena Westen

CoRR, 2023

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

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

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

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

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, Peter Maass

CoRR, 2020

L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset.

Tobias Kluth, Bangti Jin

CoRR, 2020

A Deep Prior Approach to Magnetic Particle Imaging.

Sören Dittmer, Tobias Kluth, Daniel Otero Baguer, Peter Maass

Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

2019

<i>β</i>-SLAM: Simultaneous localization and grid mapping with beta distributions.

Joachim Clemens, Tobias Kluth, Thomas Reineking

Inf. Fusion, 2019

2016

An evidential approach to SLAM, path planning, and active exploration.

Joachim Clemens, Thomas Reineking, Tobias Kluth

Int. J. Approx. Reason., 2016

2015

Intrinsic dimensionality in vision: nonlinear filter design and applications.

Tobias Kluth

PhD thesis, 2015

Adaptive Information Selection in Images: Efficient Naive Bayes Nearest Neighbor Classification.

Thomas Reineking, Tobias Kluth, David Nakath

Proceedings of the Computer Analysis of Images and Patterns, 2015

2014

Active Sensorimotor Object Recognition in Three-Dimensional Space.

David Nakath, Tobias Kluth, Thomas Reineking, Christoph Zetzsche, Kerstin Schill

Proceedings of the Spatial Cognition IX, 2014

Spatial Numerosity: A Computational Model Based on a Topological Invariant.

Tobias Kluth, Christoph Zetzsche

Proceedings of the Spatial Cognition IX, 2014

Affordance-Based Object Recognition Using Interactions Obtained from a Utility Maximization Principle.

Tobias Kluth, David Nakath, Thomas Reineking, Christoph Zetzsche, Kerstin Schill

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Statistical Invariants of Spatial Form: From Local AND to Numerosity.

Christoph Zetzsche, Konrad Gadzicki, Tobias Kluth

Proceedings of the Second Interdisciplinary Workshop The Shape of Things, 2013

2012

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