Follow
Simon Hubmer
Simon Hubmer
Postdoctoral Researcher, Johann Radon Institute Linz, Austria
Verified email at ricam.oeaw.ac.at - Homepage
Title
Cited by
Cited by
Year
Convergence analysis of a two-point gradient method for nonlinear ill-posed problems
S Hubmer, R Ramlau
Inverse Problems 33 (9), 095004, 2017
452017
Lamé parameter estimation from static displacement field measurements in the framework of nonlinear inverse problems
S Hubmer, E Sherina, A Neubauer, O Scherzer
SIAM Journal on Imaging Sciences 11 (2), 1268-1293, 2018
332018
Nesterov’s accelerated gradient method for nonlinear ill-posed problems with a locally convex residual functional
S Hubmer, R Ramlau
Inverse Problems 34 (9), 095003, 2018
262018
Phase-contrast THz-CT for non-destructive testing
P Fosodeder, S Hubmer, A Ploier, R Ramlau, S van Frank, C Rankl
Optics Express 29 (10), 15711-15723, 2021
252021
Limited-angle acousto-electrical tomography
S Hubmer, K Knudsen, C Li, E Sherina
Inverse problems in science and engineering 27 (9), 1298-1317, 2019
152019
On regularization via frame decompositions with applications in tomography
S Hubmer, R Ramlau, L Weissinger
Inverse Problems 38 (5), 055003, 2022
92022
Robust and bias-free localization of individual fixed dipole emitters achieving the Cramér Rao bound for applications in cryo-single molecule localization microscopy
F Hinterer, MC Schneider, S Hubmer, M López-Martinez, P Zelger, ...
PloS one 17 (2), e0263500, 2022
82022
Frame decompositions of bounded linear operators in Hilbert spaces with applications in tomography
S Hubmer, R Ramlau
Inverse Problems 37 (5), 055001, 2021
72021
A frame decomposition of the atmospheric tomography operator
S Hubmer, R Ramlau
Inverse Problems 36 (9), 094001, 2020
72020
On the parameter estimation problem of magnetic resonance advection imaging
S Hubmer, A Neubauer, R Ramlau, HU Voss
Inverse Problems and Imaging 12 (1), 175, 2018
72018
Direction dependent point spread function reconstruction for multi-conjugate adaptive optics on giant segmented mirror telescopes
R Wagner, D Saxenhuber, R Ramlau, S Hubmer
Astronomy and Computing 40, 100590, 2022
62022
Displacement field estimation from OCT images utilizing speckle information with applications in quantitative elastography
E Sherina, L Krainz, S Hubmer, W Drexler, O Scherzer
Inverse Problems 36 (12), 124003, 2020
62020
A mathematical approach towards THz tomography for non-destructive imaging
S Hubmer, A Ploier, R Ramlau, P Fosodeder, S van Frank
arXiv preprint arXiv:2010.14938, 2020
62020
On stopping rules for Landweber iteration for the solution of ill-posed problems
S Hubmer
Master’s thesis, Johannes Kepler University Linz, 2015
62015
A conjugate-gradient approach to the parameter estimation problem of magnetic resonance advection imaging
S Hubmer, A Neubauer, R Ramlau, HU Voss
Inverse Problems in Science and Engineering 28 (8), 1154-1165, 2020
42020
A frame decomposition of the Funk-Radon transform
M Quellmalz, L Weissinger, S Hubmer, PD Erchinger
International Conference on Scale Space and Variational Methods in Computer …, 2023
32023
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology
F Hinterer, S Hubmer, P Jethwa, KM Soodhalter, G van de Ven, R Ramlau
SIAM Journal on Imaging Sciences 16 (1), 192-222, 2023
32023
A numerical comparison of some heuristic stopping rules for nonlinear Landweber iteration
S Hubmer, E Sherina, S Kindermann, K Raik
arXiv preprint arXiv:2205.09831, 2022
32022
Challenges for optical flow estimates in elastography
E Sherina, L Krainz, S Hubmer, W Drexler, O Scherzer
International Conference on Scale Space and Variational Methods in Computer …, 2021
32021
Quantitative Optical Coherence Elastography: A Novel Intensity-Based Inversion Method Versus Strain-Based Reconstructions
L Krainz, E Sherina, S Hubmer, M Liu, W Drexler, O Scherzer
IEEE Journal of Selected Topics in Quantum Electronics 29 (4: Biophotonics …, 2022
22022
The system can't perform the operation now. Try again later.
Articles 1–20