Tobias Kluth - RankMe

25 papers Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging. CoRR Meira Iske, Hannes Albers, Tobias Knopp, Tobias Kluth
2025	J	`jnl`	Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging. IEEE Trans. Computational Imaging Meira Iske, Hannes Albers, Tobias Knopp, Tobias Kluth
2024	J	`jnl`	Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data. CoRR Alexander Denker, Zeljko Kereta, Imraj RD Singh, Tom Freudenberg, Tobias Kluth, Peter Maass, Simon R. Arridge
2024	J	`jnl`	Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging. SIAM J. Imaging Sci. Christina Brandt, Tobias Kluth, Tobias Knopp, Lena Westen
2024	J	`jnl`	Equilibrium Model With Anisotropy for Model-Based Reconstruction in Magnetic Particle Imaging. IEEE Trans. Computational Imaging Marco Maaß, Tobias Kluth, Christine Droigk, Hannes Albers, Konrad Scheffler, Alfred Mertins, Tobias Knopp
2024	J	`jnl`	Learning-Based Approaches for Reconstructions With Inexact Operators in nanoCT Applications. IEEE Trans. Computational Imaging Tom Lütjen, Fabian Schönfeld, Alice Oberacker, Johannes Leuschner, Maximilian Schmidt, Anne Wald, Tobias Kluth
2023	J	`jnl`	Bayesian view on the training of invertible residual networks for solving linear inverse problems. CoRR Clemens Arndt, Sören Dittmer, Nick Heilenkötter, Meira Iske, Tobias Kluth, Judith Nickel
2023	J	`jnl`	Dynamic image reconstruction with motion priors in application to 3D magnetic particle imaging. CoRR Christina Brandt, Tobias Kluth, Tobias Knopp, Lena Westen
2023	J	`jnl`	Invertible residual networks in the context of regularization theory for linear inverse problems. CoRR Clemens Arndt, Alexander Denker, Sören Dittmer, Nick Heilenkötter, Meira Iske, Tobias Kluth, Peter Maass, Judith Nickel
2023	J	`jnl`	Learning-based approaches for reconstructions with inexact operators in nanoCT applications. CoRR Tom Lütjen, Fabian Schönfeld, Alice Oberacker, Johannes Leuschner, Maximilian Schmidt, Anne Wald, Tobias Kluth
2020	—	`conf`	A Deep Prior Approach to Magnetic Particle Imaging. MLMIR@MICCAI Sören Dittmer, Tobias Kluth, Daniel Otero Baguer, Peter Maass
2020	J	`jnl`	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 Hannes Albers, Tobias Kluth, Tobias Knopp
2020	J	`jnl`	Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset. CoRR Sören Dittmer, Tobias Kluth, Mads Thorstein Roar Henriksen, Peter Maass
2020	J	`jnl`	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 Tobias Kluth, Christine Bathke, Ming Jiang, Peter Maass
2020	J	`jnl`	L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset. CoRR Tobias Kluth, Bangti Jin
2020	J	`jnl`	Regularization by Architecture: A Deep Prior Approach for Inverse Problems. J. Math. Imaging Vis. Sören Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer
2018	J	`jnl`	Regularization by architecture: A deep prior approach for inverse problems. CoRR Sören Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer
2016	J	`jnl`	An evidential approach to SLAM, path planning, and active exploration. Int. J. Approx. Reason. Joachim Clemens, Thomas Reineking, Tobias Kluth
2015	—	`conf`	Adaptive Information Selection in Images: Efficient Naive Bayes Nearest Neighbor Classification. CAIP (1) Thomas Reineking, Tobias Kluth, David Nakath
2015	—	`—`	Intrinsic dimensionality in vision: nonlinear filter design and applications. Tobias Kluth
2014	—	`conf`	Active Sensorimotor Object Recognition in Three-Dimensional Space. Spatial Cognition David Nakath, Tobias Kluth, Thomas Reineking, Christoph Zetzsche, Kerstin Schill
2014	—	`conf`	Affordance-Based Object Recognition Using Interactions Obtained from a Utility Maximization Principle. ECCV Workshops (2) Tobias Kluth, David Nakath, Thomas Reineking, Christoph Zetzsche, Kerstin Schill
2014	—	`conf`	Spatial Numerosity: A Computational Model Based on a Topological Invariant. Spatial Cognition Tobias Kluth, Christoph Zetzsche
2013	—	`conf`	Statistical Invariants of Spatial Form: From Local AND to Numerosity. SHAPES Christoph Zetzsche, Konrad Gadzicki, Tobias Kluth
2012	J	`jnl`	Sparsity reconstruction in electrical impedance tomography: An experimental evaluation. J. Comput. Appl. Math. Matthias Gehre, Tobias Kluth, Antti Lipponen, Bangti Jin, Aku Seppänen, Jari P. Kaipio, Peter Maass