Tobias Kluth

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 17

Top Venues

CoRR

Spatial Cognition

MLMIR@MICCAI

Int. J. Approx. Reason.

University of Bremen (PHD)

Education History

University of Bremen

PHD

Publications

Tom Lütjen, Fabian Schönfeld, Alice Oberacker, Johannes Leuschner, Maximilian Schmidt, Anne Wald, Tobias Kluth
Learning-Based Approaches for Reconstructions With Inexact Operators in nanoCT Applications. IEEE Trans. Computational Imaging 10 (2024)
Alexander Denker, Zeljko Kereta, Imraj RD Singh, Tom Freudenberg, Tobias Kluth, Peter Maass, Simon R. Arridge
Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data. CoRR (2024)
Christina Brandt, Tobias Kluth, Tobias Knopp, Lena Westen
Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging. SIAM J. Imaging Sci. 17 (3) (2024)
Tom Lütjen, Fabian Schönfeld, Alice Oberacker, Johannes Leuschner, Maximilian Schmidt, Anne Wald, Tobias Kluth
Learning-based approaches for reconstructions with inexact operators in nanoCT applications. CoRR (2023)
Clemens Arndt, Sören Dittmer, Nick Heilenkötter, Meira Iske, Tobias Kluth, Judith Nickel
Bayesian view on the training of invertible residual networks for solving linear inverse problems. CoRR (2023)
Christina Brandt, Tobias Kluth, Tobias Knopp, Lena Westen
Dynamic image reconstruction with motion priors in application to 3D magnetic particle imaging. CoRR (2023)
Clemens Arndt, Alexander Denker, Sören Dittmer, Nick Heilenkötter, Meira Iske, Tobias Kluth, Peter Maass, Judith Nickel
Invertible residual networks in the context of regularization theory for linear inverse problems. CoRR (2023)
Tobias Kluth, Bangti Jin
L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset. CoRR (2020)
Sören Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer
Regularization by Architecture: A Deep Prior Approach for Inverse Problems. J. Math. Imaging Vis. 62 (3) (2020)
Sören Dittmer, Tobias Kluth, Mads Thorstein Roar Henriksen, Peter Maass
Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset. CoRR (2020)
Tobias Kluth, Christine Bathke, Ming Jiang, Peter Maass
Joint super-resolution image reconstruction and parameter identification in imaging operator: Analysis of bilinear operator equations, numerical solution, and application to magnetic particle imaging. CoRR (2020)
Hannes Albers, Tobias Kluth, Tobias Knopp
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. CoRR (2020)
Sören Dittmer, Tobias Kluth, Daniel Otero Baguer, Peter Maass
A Deep Prior Approach to Magnetic Particle Imaging. MLMIR@MICCAI (2020)
Joachim Clemens, Tobias Kluth, Thomas Reineking
-SLAM: Simultaneous localization and grid mapping with beta distributions. Inf. Fusion 52 (2019)
Sören Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer
Regularization by architecture: A deep prior approach for inverse problems. CoRR (2018)
Joachim Clemens, Thomas Reineking, Tobias Kluth
An evidential approach to SLAM, path planning, and active exploration. Int. J. Approx. Reason. 73 (2016)
Thomas Reineking, Tobias Kluth, David Nakath
Adaptive Information Selection in Images: Efficient Naive Bayes Nearest Neighbor Classification. CAIP (1) (2015)
Tobias Kluth, David Nakath, Thomas Reineking, Christoph Zetzsche, Kerstin Schill
Affordance-Based Object Recognition Using Interactions Obtained from a Utility Maximization Principle. ECCV Workshops (2) (2014)
Tobias Kluth, Christoph Zetzsche
Spatial Numerosity: A Computational Model Based on a Topological Invariant. Spatial Cognition (2014)
David Nakath, Tobias Kluth, Thomas Reineking, Christoph Zetzsche, Kerstin Schill
Active Sensorimotor Object Recognition in Three-Dimensional Space. Spatial Cognition (2014)
Christoph Zetzsche, Konrad Gadzicki, Tobias Kluth
Statistical Invariants of Spatial Form: From Local AND to Numerosity. SHAPES (2013)
Matthias Gehre, Tobias Kluth, Antti Lipponen, Bangti Jin, Aku Seppänen, Jari P. Kaipio, Peter Maass
Sparsity reconstruction in electrical impedance tomography: An experimental evaluation. J. Comput. Appl. Math. 236 (8) (2012)

Tobias Kluth.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Tobias Kluth