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Tobias Kluth
Tobias Kluth
Center for Industrial Mathematics, University of Bremen
Bestätigte E-Mail-Adresse bei math.uni-bremen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Sparsity reconstruction in electrical impedance tomography: an experimental evaluation
M Gehre, T Kluth, A Lipponen, B Jin, A Seppänen, JP Kaipio, P Maass
Journal of Computational and Applied Mathematics 236 (8), 2126-2136, 2012
962012
Regularization by architecture: A deep prior approach for inverse problems
S Dittmer, T Kluth, P Maass, D Otero Baguer
Journal of Mathematical Imaging and Vision 62 (3), 456-470, 2020
542020
An evidential approach to SLAM, path planning, and active exploration
J Clemens, T Reineking, T Kluth
International Journal of Approximate Reasoning 73, 1-26, 2016
382016
Mathematical models for magnetic particle imaging
T Kluth
Inverse Problems 34 (8), 083001, 2018
282018
Sparse 3D reconstructions in electrical impedance tomography using real data
M Gehre, T Kluth, C Sebu, P Maass
Inverse Problems in Science and Engineering 22 (1), 31-44, 2014
252014
Improved image reconstruction in magnetic particle imaging using structural a priori information
C Bathke, T Kluth, C Brandt, P Maaß
International Journal on Magnetic Particle Imaging 3 (1), 2017
232017
Towards accurate modeling of the multidimensional magnetic particle imaging physics
T Kluth, P Szwargulski, T Knopp
New journal of physics 21 (10), 103032, 2019
182019
Enhanced reconstruction in magnetic particle imaging by whitening and randomized SVD approximation
T Kluth, B Jin
Physics in Medicine & Biology 64 (12), 125026, 2019
182019
Enhanced reconstruction in magnetic particle imaging by whitening and randomized SVD approximation
T Kluth, B Jin
Physics in Medicine & Biology 64 (12), 125026, 2019
182019
Model uncertainty in magnetic particle imaging: nonlinear problem formulation and model-based sparse reconstruction
T Kluth, P Maass
International Journal on Magnetic Particle Imaging 3 (2), 2017
172017
On the degree of ill-posedness of multi-dimensional magnetic particle imaging
T Kluth, B Jin, G Li
Inverse Problems 34 (9), 095006, 2018
152018
Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset
S Dittmer, T Kluth, MTR Henriksen, P Maass
arXiv preprint arXiv:2007.01593, 2020
112020
β-SLAM: Simultaneous localization and grid mapping with beta distributions
J Clemens, T Kluth, T Reineking
Information Fusion 52, 62-75, 2019
112019
Affordance-based object recognition using interactions obtained from a utility maximization principle
T Kluth, D Nakath, T Reineking, C Zetzsche, K Schill
European Conference on Computer Vision, 406-412, 2014
72014
L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset
T Kluth, B Jin
arXiv preprint arXiv:2001.06083, 2020
62020
Active sensorimotor object recognition in three-dimensional space
D Nakath, T Kluth, T Reineking, C Zetzsche, K Schill
International Conference on Spatial Cognition, 312-324, 2014
62014
Numerosity as a topological invariant
T Kluth, C Zetzsche
Journal of vision 16 (3), 30-30, 2016
52016
Simulating magnetization dynamics of large ensembles of single domain nanoparticles: Numerical study of Brown/Néel dynamics and parameter identification problems in magnetic …
H Albers, T Kluth, T Knopp
Journal of Magnetism and Magnetic Materials 541, 168508, 2022
42022
Estimating orientation using multi-contrast MPI
M Möddel, F Griese, T Kluth, T Knopp
International Journal on Magnetic Particle Imaging 6 (2 Suppl 1), 2020
42020
Joint super-resolution image reconstruction and parameter identification in imaging operator: analysis of bilinear operator equations, numerical solution, and application to …
T Kluth, C Bathke, M Jiang, P Maass
Inverse Problems 36 (12), 124006, 2020
32020
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