Ekaterina Sherina

Ekaterina Sherina

Postdoctoral Researcher

Research Interests

Links: ORCID; DTU Orbit; GoogleScholar.

Professional Experience

Research and Project Work for

Education

Teaching Experience

10 Selected Invited Talks & Colloquiums



Phone: +43 1 4277 55780

Published Papers

2023

S. Hubmer, E. Sherina and R. Ramlau Characterizations of adjoint Sobolev embedding operators with applications in inverse problems Electronic Transactions on Numerical Analysis, 59:116–144, 2023 BibTeX | funding | PDF )
S. Hubmer, E. Sherina, R. Ramlau, M. Pircher and R. Leitgeb Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach SIAM Journal on Imaging Sciences, 16(4):1857-1885, 2023 BibTeX | funding | PDF )
E. Sherina, L. Krainz, S. Hubmer, O. Scherzer and W. Drexler Inversion Methods for Strain and Stiffness Reconstruction in Quantitative Optical Coherence ElastographyIn Oberwolfach Reports: Tomographic Inverse Problems - Mathematical Challenges and Novel Applications, (21/2023)82–85. Mathematisches Forschungsinstitut Oberwolfach, 2023 BibTeX | PDF )

2022

S. Hubmer, E. Sherina, S. Kindermann and K. Raik A numerical comparison of some heuristic stopping rules for nonlinear Landweber iteration Electronic Transactions on Numerical Analysis, 57:216–241, 2022 BibTeX | funding | PDF )
O. Scherzer, C. Kirisits and E. Sherina Optical Flow On Manifolds and For ElastographyIn M. Ben-Chen, A. Chambolle, M. Rumpf and P. Schröder, editors, Mathematical Imaging and Surface Processing, (2022/38)17–19. Oberwolfach Reports, 2022 BibTeX | PDF )
L. Krainz, E. Sherina, S. Hubmer, M. Liu, W. Drexler and O. Scherzer Quantitative Optical Coherence Elastography: A Novel Intensity-Based Inversion Method Versus Strain-Based Reconstructions IEEE Journal of Selected Topics in Quantum Electronics, 29(4: Biophotonics):1–16, July, 2022 BibTeX | funding | PDF )

2021

Ch. Li, M. Karamehmedović, E. Sherina and K. Knudsen Levenberg–Marquardt Algorithm for Acousto-Electric Tomography based on the Complete Electrode Model Journal of Mathematical Imaging and Vision, 63:492–502, January, 2021 BibTeX | PDF )
E. Sherina, L. Krainz, S. Hubmer, W. Drexler and O. Scherzer Challenges for Optical Flow Estimates in ElastographyIn Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science, (1)128–139, 2021 BibTeX | funding | PDF )

2020

E. Sherina, L. Krainz, S. Hubmer, W. Drexler and O. Scherzer Displacement field estimation from OCT images utilizing speckle information with applications in quantitative elastography Inverse Problems, 36(12):124003, 2020 BibTeX | funding | PDF )

2019

S. Hubmer, K. Knudsen, C. Li and E. Sherina Limited-Angle Acousto-Electrical Tomography Inverse Problems in Science and Engineering, 27(9):1298–1317, 2019 BibTeX | funding | PDF )
E. Sherina Lamé Parameter Estimation from Static Displacement Field MeasurementsIn M. Burger, B. Hahn and E. T. Quinto, editors, Tomographic Inverse Problems: Theory and Applications, 16(1):209–303. European Mathematical Society Publishing House, 2019 BibTeX )

2018

PDF(published version; © 2018 Society for Industrial and Applied Mathematics)
S. Hubmer, E. Sherina, A. Neubauer and O. Scherzer Lamé Parameter Estimation from Static Displacement Field Measurements in the Framework of Nonlinear Inverse Problems SIAM Journal on Imaging Sciences, 11(2):1268–1293, 2018 BibTeX | funding | PDF )
PDF(published version; © 2018 Society for Industrial and Applied Mathematics)

Preprints

2024

PDF
S. Hubmer, V. Hutterer, R. Ramlau, E. Sherina and B. Stadler On Phase Unwrapping via Digital Wavefront Sensors Preprint on ArXiv, 2405.15419, 2024 BibTeX | funding | PDF )
PDF

2022

PDF
S. Hubmer and E. Sherina Characterizations of Adjoint Sobolev Embedding Operators for Inverse Problems Preprint on ArXiv, 2202.05101, 2022 BibTeX | PDF )
PDF

2021

PDF
E. Sherina, L. Krainz, S. Hubmer, W. Drexler and O. Scherzer Challenges for Optical Flow Estimates in Elastography Preprint on ArXiv, 2103.14494, 2021 BibTeX | funding | PDF )
PDF

2020

PDF
E. Sherina, L. Krainz, S. Hubmer, W. Drexler and O. Scherzer Displacement field estimation from OCT images utilizing speckle information with applications in quantitative elastography Preprint on ArXiv, 2008.07373, 2020 BibTeX | funding | PDF )
PDF

Contact

Computational Science Center
Faculty of Mathematics
University of Vienna

Oskar-Morgenstern-Platz 1
1090 Wien
T: +43-1-4277-55771