Wavelet-accelerated regularization methods for hyperthermia treatment planning. - Peter Maass; Ronny Ramlau (Int. J. Imaging Syst. Technol., 1996)

An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection. - Peter Maaß; Sergei V. Pereverzev; Ronny Ramlau; Sergei G. Solodky (Numerische Mathematik, 2001)

A Tikhonov-based projection iteration for nonlinear Ill-posed problems with sparsity constraints. - Ronny Ramlau; Gerd Teschke (Numerische Mathematik, 2006)

A Mumford-Shah level-set approach for the inversion and segmentation of X-ray tomography data. - Ronny Ramlau; Wolfgang Ring (J. Comput. Phys., 2007)

The application of joint sparsity and total variation minimization algorithms to a real-life art restoration problem. - Massimo Fornasier; Ronny Ramlau; Gerd Teschke (Adv. Comput. Math., 2009)

Inverse problems: Computation and applications. - Abderrahman Bouhamidi; Khalide Jbilou; Ronny Ramlau; Lothar Reichel; Hassane Sadok; Fiorella Sgallari (J. Comput. Appl. Math., 2012)

A singular value decomposition for the Shack-Hartmann based wavefront reconstruction. - Stefan Kindermann 001; Andreas Neubauer; Ronny Ramlau (J. Comput. Appl. Math., 2012)

Regularization Properties of Mumford-Shah-Type Functionals with Perimeter and Norm Constraints for Linear Ill-Posed Problems. - Esther Klann; Ronny Ramlau (SIAM J. Imaging Sci., 2013)

A Singular-Value-Type Decomposition for the Atmospheric Tomography Operator. - Andreas Neubauer; Ronny Ramlau (SIAM J. Appl. Math., 2017)

A Semiblind Regularization Algorithm for Inverse Problems with Application to Image Deblurring. - Alessandro Buccini; Marco Donatelli; Ronny Ramlau (SIAM J. Sci. Comput., 2018)

A note on the minimization of a Tikhonov functional with 𝓁1-penalty. - Fabian Hinterer; Simon Hubmer; Ronny Ramlau (CoRR, 2020)

A Frame Decomposition of the Atmospheric Tomography Operator. - Simon Hubmer; Ronny Ramlau (CoRR, 2020)

Real-time implementation of an iterative solver for atmospheric tomography. - Bernadett Stadler; Roberto Biasi; Mauro Manetti; Ronny Ramlau (CoRR, 2020)

Frame Decompositions of Bounded Linear Operators in Hilbert Spaces with Applications in Tomography. - Simon Hubmer; Ronny Ramlau (CoRR, 2020)

A mathematical approach towards THz tomography for non-destructive imaging. - Simon Hubmer; Alexander Ploier; Ronny Ramlau; Peter Fosodeder; Sandrine van Frank (CoRR, 2020)

An augmented wavelet reconstructor for atmospheric tomography. - Ronny Ramlau; Bernadett Stadler (CoRR, 2020)

Estimating solution smoothness and data noise with Tikhonov regularization. - Daniel Gerth; Ronny Ramlau (CoRR, 2020)

Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics System. - Rihuan Ke; Roland Wagner 001; Ronny Ramlau; Raymond H. Chan (SIAM J. Imaging Sci., 2020)

Parallel implementation of an iterative solver for atmospheric tomography. - Bernadett Stadler; Roberto Biasi; Mauro Manetti; Ronny Ramlau (ICCSA (Workshops), 2021)

On Regularization via Frame Decompositions with Applications in Tomography. - Simon Hubmer; Ronny Ramlau; Lukas Weissinger (CoRR, 2021)

Lanczos-based fast blind deconvolution methods. - Laura Dykes; Ronny Ramlau; Lothar Reichel; Kirk M. Soodhalter; Roland Wagner 001 (J. Comput. Appl. Math., 2021)

Subspace Recycling-Based Regularization Methods. - Ronny Ramlau; Kirk M. Soodhalter; Victoria Hutterer (SIAM J. Matrix Anal. Appl., 2021)

Direction dependent point spread function reconstruction for multi-conjugate adaptive optics on giant segmented mirror telescopes. - Roland R. Wagner; D. Saxenhuber; Ronny Ramlau; Simon Hubmer (Astron. Comput., 2022)

Performance of an iterative wavelet reconstructor for the Multi-conjugate Adaptive Optics RelaY of ESO's ELT. - Bernadett Stadler; Ronny Ramlau (CoRR, 2022)

Enhancing Predictive Quality in HVOF Coating Technology: A Comparative Analysis of Machine Learning Techniques. - Wolfgang Rannetbauer; Carina Hambrock; Simon Hubmer; Ronny Ramlau (ISM, 2023)

Subaperture-based Digital Aberration Correction for OCT: A Novel Mathematical Approach. - Simon Hubmer; Ekaterina Sherina; Ronny Ramlau; Michael Pircher; Rainer A. Leitgeb (CoRR, 2023)

A Statistical Approach for Improving HVOF Coating: Predictive Modelling of Critical Variables using Generalized Linear Models. - Wolfgang Rannetbauer; Simon Hubmer; Carina Hambrock; Ronny Ramlau (CoRR, 2023)

A Projected Nesterov-Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology. - Fabian Hinterer; Simon Hubmer; Prashin Jethwa; Kirk M. Soodhalter; Glenn van de Ven; Ronny Ramlau (SIAM J. Imaging Sci., 2023)

Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach. - Simon Hubmer; Ekaterina Sherina; Ronny Ramlau; Michael Pircher; Rainer A. Leitgeb (SIAM J. Imaging Sci., 2023)

Virtual Sensors and Thermal Modelling for Quality Control in Industrial Thermal Spraying. - Wolfgang Rannetbauer; Carina Hambrock; Simon Hubmer; Ronny Ramlau (ISM, 2024)

High fidelity adaptive mirror simulations with reduced order models. - Bernadett Stadler; Roberto Biasi; Mauro Manetti; Andreas Obereder; Ronny Ramlau; Matteo Tintori (CoRR, 2024)

On some analytic properties of the atmospheric tomography operator: Non-Uniqueness and reconstructability issues. - Ronny Ramlau; Bernadett Stadler (CoRR, 2024)

Singular Value and Frame Decomposition-based Reconstruction for Atmospheric Tomography. - Lukas Weissinger; Simon Hubmer; Bernadett Stadler; Ronny Ramlau (CoRR, 2024)

On Phase Unwrapping via Digital Wavefront Sensors. - Simon Hubmer; Victoria Hutterer; Ronny Ramlau; Ekaterina Sherina; Bernadett Stadler (CoRR, 2024)

On SCD Semismooth* Newton methods for the efficient minimization of Tikhonov functionals with non-smooth and non-convex penalties. - Helmut Gfrerer; Simon Hubmer; Ronny Ramlau (CoRR, 2024)

Regularization of Linear Inverse Problems with Irregular Noise Using Embedding Operators. - Xinyan Li; Simon Hubmer; Shuai Lu; Ronny Ramlau (SIAM J. Imaging Sci., 2024)

PhaseNet: A Deep Learning Based Phase Reconstruction Method for Ground-Based Astronomy. - Dihan Zheng; Shiqi Tang; Roland R. Wagner; Ronny Ramlau; Chenglong Bao; Raymond H. Chan (SIAM J. Imaging Sci., 2024)

On Phase Unwrapping via Digital Wavefront Sensors. - Simon Hubmer; Victoria Laidlaw; Ronny Ramlau; Ekaterina Sherina; Bernadett Stadler (SIAM J. Imaging Sci., 2025)

An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain. - Lukas Weissinger; Simon Hubmer; Ronny Ramlau; Henning U. Voss (SIAM J. Imaging Sci., 2025)

Heat Conduction with Phase Change in Permafrost Modules of Vegetation Models. - David Hötten; Jenny Niebsch; Ronny Ramlau; Walter Zulehner (CoRR, 2025)

Leveraging Real-Time Data Analysis and Multiple Kernel Learning for Manufacturing of Innovative Steels. - Wolfgang Rannetbauer; Simon Hubmer; Carina Hambrock; Ronny Ramlau (CoRR, 2025)

Fast reconstruction approaches for photoacoustic tomography with smoothing Sobolev/Matérn priors. - Jaakko Kultima; Ronny Ramlau; Teemu Sahlström; Tanja Tarvainen (CoRR, 2025)