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ORCIDTobias Kluth
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2020 – today
- 2024
[j6]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): 1539-1586 (2024)- [j5]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: 522-534 (2024) - [i10]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 abs/2407.01559 (2024) - 2023
- [i9]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 abs/2306.01335 (2023) - [i8]Christina Brandt, Tobias Kluth, Tobias Knopp, Lena Westen:
Dynamic image reconstruction with motion priors in application to 3D magnetic particle imaging. CoRR abs/2306.11625 (2023) - [i7]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 abs/2307.10431 (2023) - [i6]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 abs/2307.10474 (2023) - 2020
- [j4]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): 456-470 (2020) - [c6]Sören Dittmer, Tobias Kluth, Daniel Otero Baguer, Peter Maass:
A Deep Prior Approach to Magnetic Particle Imaging. MLMIR@MICCAI 2020: 113-122 - [i5]Tobias Kluth, Bangti Jin:
L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset. CoRR abs/2001.06083 (2020) - [i4]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 abs/2004.13091 (2020) - [i3]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 abs/2007.01593 (2020) - [i2]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 abs/2010.07772 (2020)
2010 – 2019
- 2019
- [j3]Joachim Clemens, Tobias Kluth, Thomas Reineking:
β-SLAM: Simultaneous localization and grid mapping with beta distributions. Inf. Fusion 52: 62-75 (2019) - 2018
- [i1]Sören Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer:
Regularization by architecture: A deep prior approach for inverse problems. CoRR abs/1812.03889 (2018) - 2016
- [j2]Joachim Clemens, Thomas Reineking, Tobias Kluth:
An evidential approach to SLAM, path planning, and active exploration. Int. J. Approx. Reason. 73: 1-26 (2016) - 2015
- [b1]Tobias Kluth:
Intrinsic dimensionality in vision: nonlinear filter design and applications. University of Bremen, 2015, pp. 1-177 - [c5]Thomas Reineking, Tobias Kluth, David Nakath:
Adaptive Information Selection in Images: Efficient Naive Bayes Nearest Neighbor Classification. CAIP (1) 2015: 350-361 - 2014
- [c4]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: 406-412 - [c3]Tobias Kluth, Christoph Zetzsche:
Spatial Numerosity: A Computational Model Based on a Topological Invariant. Spatial Cognition 2014: 237-252 - [c2]David Nakath, Tobias Kluth, Thomas Reineking, Christoph Zetzsche, Kerstin Schill:
Active Sensorimotor Object Recognition in Three-Dimensional Space. Spatial Cognition 2014: 312-324 - 2013
- [c1]Christoph Zetzsche, Konrad Gadzicki, Tobias Kluth:
Statistical Invariants of Spatial Form: From Local AND to Numerosity. SHAPES 2013: 163-172 - 2012
- [j1]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): 2126-2136 (2012)
Coauthor Index
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last updated on 2024-08-25 20:08 CEST by the dblp team
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