Published Papers (prev)

2021

P. Elbau, L. Mindrinos and L. VeselkaQuantitative OCT Reconstructions for Dispersive MediaIn: Kaltenbacher B., Schuster T., Wald A. (eds) Time-dependent Problems in Imaging and Parameter Identification, 229–2662021
M. K. Løvmo, B. Pressl, G. Thalhammer and M. Ritsch-MarteControlled orientation and sustained rotation of biological samples in a sono-optical microfluidic deviceLab Chip2021
E. Sherina, L. Krainz, S. Hubmer, W. Drexler and O. ScherzerChallenges for Optical Flow Estimates in ElastographyIn: Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science (accepted)2021

2020

A. M. Arnold, M. C. Schneider, C. Hüsson, R. Sablatnig, M. Brameshuber, F. Baumgart and G. J. SchützVerifying molecular clusters by 2-color localization microscopy and significance testingSci. Rep.10(1), 42302020
A. Aspri, S. Banert, O. Öktem and O. ScherzerA Data-Driven Iteratively Regularized Landweber IterationNumer. Funct. Anal. Optim.41(10), 1190–12272020
A. Aspri, E. Beretta, O. Scherzer and M. MuskietaAsymptotic Expansions for Higher Order Elliptic Equations with an Application to Quantitative Photoacoustic TomographySIAM J. Imaging Sci.13(4), 1781–18332020
E. Brunner, M. F. Shirazi, M. Laslandes, W. Drexler, A. Pollreisz, C. K. Hitzenberger and M. PircherCellular resolution AO-OCT imaging of the retina with an extended field of viewBiophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN), OTu2E.22020
K. Dholakia, B. W. Drinkwater and M. Ritsch-MarteComparing acoustic and optical forces for biomedical researchNat. Rev. Phys.2, 480–4912020
P. Elbau, L. Mindrinos and L. VeselkaReconstructing the Optical Parameters of a Layered Medium with Optical Coherence ElastographyIn: Beilina L., Bergounioux M., Cristofol M., Da Silva A., Litman A. (eds) Mathematical and Numerical Approaches for Multi-Wave Inverse Problems328, 105–1262020
P. Elbau, M. Ritsch-Marte, O. Scherzer and D. SchmutzMotion Reconstruction for Optical Tomography of Trapped ObjectsInverse Probl.36(4), 0440042020
F. Faucher and O. ScherzerAdjoint-state method for Hybridizable Discontinuous Galerkin discretization, application to the inverse acoustic wave problemComput. Methods in Appl. Mech. Eng.372, 1134062020
F. Faucher, O. Scherzer and H. BarucqEigenvector models for solving the seismic inverse problem for the Helmholtz equationGeophys. J. Int.221(1), 394–4142020
F. Hinterer, S. Hubmer and R. RamlauA note on the minimization of a Tikhonov functional with l^1-penaltyInverse Probl.36(7), 0740012020
S. Hubmer, A. Neubauer, R. Ramlau and H. U. VossA conjugate-gradient approach to the parameter estimation problem of magnetic resonance advection imagingInverse Probl. Sci. En.28(8), 1154–11652020
S. Hubmer and R. RamlauA frame decomposition of the atmospheric tomography operatorInverse Probl.36(9), 0940012020
R. Ke, R. Wagner, R. Ramlau and R. ChanReconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics SystemSIAM J. Imaging Sci13(2), 775–8062020
E. LandlActuator Command Reconstruction with 3-sided Pyramid Sensors in AO-OCTMaster Thesis, University Linz2020
R. Platzer, B. K. Rossboth, M. C. Schneider, E. Sevcsik, F. Baumgart, H. Stockinger, G. J. Schütz, et al.Unscrambling fluorophore blinking for comprehensive cluster detection via photoactivated localization microscopyNat. Commun.11, 49932020
R. Ramlau, C. Koutschan and B. HofmannOn the Singular Value Decomposition of n-Fold Integration OperatorsICIP2 2018: Inverse Problems and Related Topics, 237–2562020
I. Shatokhina, V. Hutterer and R. RamlauReview on methods for wavefront reconstruction from pyramid wavefront sensor dataJ. Astron. Telesc. Instrum. Syst.6(1), 0109012020
E. Sherina, L. Krain, S. Hubmer, W. Drexler and O. ScherzerDisplacement field estimation from OCT images utilizing speckle information with applications in quantitative elastographyInverse Probl.36(12), 1240032020
M. F. Shirazi, E. Brunner, M. Laslandes, A. Pollreisz, C. K. Hitzenberger, and M. PircherVisualizing human photoreceptor and retinal pigment epithelium cell mosaics in a single volume scan over an extended field of view with adaptive optics optical coherence tomographyBiomed. Opt. Express11, 4520–45352020

2019

F. Baumgart, M. Schneider and G. SchützHow T Cells Do the “Search for the Needle in the Haystack”Front. Phys.72019
A. Beigl, O. Scherzer, J. Sogn and W. ZulehnerPreconditioning Inverse Problems for Hyperbolic Equations with Applications to Photoacoustic TomographyInverse Probl.36(1), 0140022019
R. Bot, D. Guozhi, P. Elbau and O. ScherzerConvergence Rates of First and Higher Order Dynamics for Solving Linear Inverse ProblemsOberwolfach Rep. 16, 227–2302019
R. Ciak, M. Melching and O. ScherzerRegularization with Metric Double Integrals of Functions with Values in a Set of VectorsJ. Math. Imaging Vision61(6), 824–848 2019
O. Fauvarque, V. Hutterer, P. Janin-Potiron, J. Duboisset, C. Correia, B. Neichel, J. F. Sauvage, et al.The ıQuad sensor: a new Fourier-based wave front sensor derived from the 4 quadrants coronagraphIn 6th International Conference on Adaptive Optics for Extremely Large TelescopesAO4ELT 20192019
V. Hutterer, R. Ramlau and I. ShatokhinaReal-time adaptive optics with pyramid wavefront sensors: part I. A theoretical analysis of the pyramid sensor modelInverse Probl.35(4), 0450072019
V. Hutterer, R. Ramlau and I. ShatokhinaReal-time adaptive optics with pyramid wavefront sensors: part II. Accurate wavefront reconstruction using iterative methodsInverse Probl.35(4), 0450082019
M. Pöttinger, R. Ramlau and G. AuzingerA new temporal control approach for SCAO systems Inverse Probl.36(1), 0150022019
R. Ramlau and L. ReichelError estimates for Arnoldi–Tikhonov regularization for ill-posed operator equationsInverse Probl.35(5), 0550022019
T. Varadi, M. Schneider, E. Sevcsik, D. Kiesenhofer, F. Baumgart, G. Batta, T. Kovacs, et al. Homo- and Heteroassociations Drive Activation of ErbB3Biophys. J.117(10), 1935–19472019

2018

A. Beigl, P. Elbau, K. Sadiq and O. ScherzerQuantitative Photoacoustic Imaging in the Acoustic Regime using SPIMInverse Probl.34(5), 0540032018
A. Buccini, M. Donatelli and R. RamlauA Semiblind Regularization Algorithm for Inverse Problems with Application to Image DeblurringSIAM J. Sci. Comput.40(1), A452–A83 2018
R. Davies, J. Alves, Y. Clénet, F. Lang-Bardl, H. Nicklas, J.-U. Pott, R. Ragazzoni, et al.The MICADO first light imager for the ELT: overview, operation, simulationProc. SPIE, Ground-based and Airborne Instrumentation for Astronomy VII10702, 107021S2018
S. Hubmer, K. Knudsen, C. Li and E. SherinaLimited-Angle Acousto-Electrical TomographyInverse Probl. Sci. Eng. 27(9), 1–202018
S. Hubmer and R. RamlauNesterov’s accelerated gradient method for nonlinear ill-posed problems with a locally convex residual functionalInverse Probl. 34(9), 0950032018
V. Hutterer, Iu. Shatokhina, A. Obereder and R. RamlauAdvanced wavefront reconstruction methods for segmented Extremely Large Telescope pupils using pyramid sensorsJ. Astron. Telesc. Instrum. Syst.4(4)2018
V. Hutterer, Iu. Shatokhina, A. Obereder and R. RamlauWavefront reconstruction for ELT-sized telescopes with pyramid wavefront sensorsProc. SPIE, Adaptive Optics Systems VI10703, 10703442018
V. Hutterer and R. RamlauNonlinear wavefront reconstruction methods for pyramid sensors using Landweber and Landweber-Kaczmarz iterationAppl. Opt.57(30), 8790–88042018
V. Hutterer and R. RamlauWavefront reconstruction from nonmodulated pyramid wavefront sensor data using a singular value type expansionInverse Probl.34(3), 0350022018
C. Kirisits and O. ScherzerA Range Condition for Polyconvex Variational RegularizationNumer. Funct. Anal. Optim.39(10), 1064–10762018
R. Ramlau and O. ScherzerThe first 100 years of the Radon transformNumer. Funct. Anal. Optim.34(9), E1-E42018
R. Wagner, C. Hofer and R. RamlauThe first 100 years of the Radon transformJ. of Astronomical Telescopes, Instruments, and Systems4(4), 0490032018