- On the properties of hybrid methods for the solution of large scale discrete inverse problems2022 | Faculty of Mathematics and Physics
- Preconditioning of LSQR for the solution of large-scale discrete inverse problems2023 | Faculty of Mathematics and Physics
- Properties of hybrid LSQR method for the solution discrete inverse problems in Single Particle Analysis2023 | Faculty of Mathematics and Physics
- Noise revealing in Golub-Kahan bidiagonalization as a mean of regularization in discrete inverse problems2014 | Faculty of Mathematics and Physics
- Inverse problems in Single Particle Analysis2022 | Faculty of Mathematics and Physics
- Numerical solution of inverse problems in 3D imaging2021 | Faculty of Mathematics and Physics
- Parameter choice methods for inner-outer regularization in Single Particle Analysis2020 | Faculty of Mathematics and Physics
- Quality assessment of volume reconstructions in Single Particle Analysis2023 | Faculty of Mathematics and Physics
- Computational Aspects of Iterative Methods for Volume Reconstruction in Single Particle Analysis2022 | Faculty of Mathematics and Physics
- Residual norm behavior for Hybrid LSQR regularization2023 | Faculty of Mathematics and Physics
- Hybrid LSQR regularization for inverse problems in Single Particle Analysis2020 | Faculty of Mathematics and Physics
- Algebraic properties of projected problems in LSQR2023 | Faculty of Mathematics and Physics
- Iterative hybrid regularization for extremely noisy full models in single particle analysis2023 | Faculty of Mathematics and Physics