Simon Hubmer

Orcid: 0000-0002-8494-5188

According to our database1, Simon Hubmer authored at least 26 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2025
On the Intensity-based Inversion Method for Quantitative Quasi-Static Elastography.
CoRR, July, 2025

Leveraging Real-Time Data Analysis and Multiple Kernel Learning for Manufacturing of Innovative Steels.
CoRR, May, 2025

An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain.
SIAM J. Imaging Sci., 2025

On Phase Unwrapping via Digital Wavefront Sensors.
SIAM J. Imaging Sci., 2025

2024
Regularization of Linear Inverse Problems with Irregular Noise Using Embedding Operators.
SIAM J. Imaging Sci., 2024

On SCD Semismooth<sup>*</sup> Newton methods for the efficient minimization of Tikhonov functionals with non-smooth and non-convex penalties.
CoRR, 2024

On Phase Unwrapping via Digital Wavefront Sensors.
CoRR, 2024

Singular Value and Frame Decomposition-based Reconstruction for Atmospheric Tomography.
CoRR, 2024

Virtual Sensors and Thermal Modelling for Quality Control in Industrial Thermal Spraying.
Proceedings of the 6th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2024), 2024

2023
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach.
SIAM J. Imaging Sci., December, 2023

A Projected Nesterov-Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology.
SIAM J. Imaging Sci., March, 2023

A Statistical Approach for Improving HVOF Coating: Predictive Modelling of Critical Variables using Generalized Linear Models.
CoRR, 2023

Subaperture-based Digital Aberration Correction for OCT: A Novel Mathematical Approach.
CoRR, 2023

A Frame Decomposition of the Funk-Radon Transform.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Enhancing Predictive Quality in HVOF Coating Technology: A Comparative Analysis of Machine Learning Techniques.
Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

2022
A numerical comparison of some heuristic stopping rules for nonlinear Landweber iteration.
CoRR, 2022

Characterizations of Adjoint Sobolev Embedding Operators for Inverse Problems.
CoRR, 2022

Direction dependent point spread function reconstruction for multi-conjugate adaptive optics on giant segmented mirror telescopes.
Astron. Comput., 2022

2021
On Regularization via Frame Decompositions with Applications in Tomography.
CoRR, 2021

Challenges for Optical Flow Estimates in Elastography.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020
A mathematical approach towards THz tomography for non-destructive imaging.
CoRR, 2020

Frame Decompositions of Bounded Linear Operators in Hilbert Spaces with Applications in Tomography.
CoRR, 2020

Displacement field estimation from OCT images utilizing speckle information with applications in quantitative elastography.
CoRR, 2020

A Frame Decomposition of the Atmospheric Tomography Operator.
CoRR, 2020

A note on the minimization of a Tikhonov functional with 𝓁<sup>1</sup>-penalty.
CoRR, 2020

2018
Lamé Parameter Estimation from Static Displacement Field Measurements in the Framework of Nonlinear Inverse Problems.
SIAM J. Imaging Sci., 2018


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