Published Papers
Sorting:2024
(preprint)
B. Mejri and O. Scherzer An Inversion Scheme for Elastic Diffraction Tomography Based on Mode Separation SIAM Journal on Applied Mathematics, 84(1):165–188, February, 2024 ( 
| Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{MejSch24,
author = {Mejri, B. and Scherzer, O.},
title = {An Inversion Scheme for Elastic Diffraction Tomography Based on Mode Separation},
doi = {10.1137/22M1538909},
journal = {{SIAM} J. Appl. Math.},
fjournal = {{SIAM} Journal on Applied Mathematics},
month = feb,
number = {1},
pages = {165--188},
volume = {84},
year = {2024},
}
(preprint)
C. Kirisits, N. Naujoks, O. Scherzer and H. Yang Diffraction tomography for incident Herglotz waves Inverse Problems, 40(11):115007, 2024 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{KirNauSchYan24,
author = {Kirisits, C. and Naujoks, N. and Scherzer, O. and Yang, H.},
title = {Diffraction tomography for incident Herglotz waves},
doi = {10.1088/1361-6420/ad7d2d},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {11},
pages = {115007},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ad7d2d/pdf},
volume = {40},
year = {2024},
}
W. Rannetbauer, C. Hambrock, S. Hubmer and R. Ramlau Enhancing Predictive Quality in HVOF Coating Technology: A Comparative Analysis of Machine Learning Techniques Procedia Computer Science, 232:1377–1387, 2024 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{RanHamHubRam24,
author = {Rannetbauer, W. and Hambrock, C. and Hubmer, S. and Ramlau, R.},
title = {Enhancing Predictive Quality in HVOF Coating Technology: A Comparative Analysis of Machine Learning Techniques},
doi = {10.1016/j.procs.2024.01.136},
journal = {Procedia Comput. Sci.},
fjournal = {Procedia Computer Science},
pages = {1377--1387},
pdf = {https://www.sciencedirect.com/science/article/pii/S1877050924001364},
volume = {232},
year = {2024},
}
E. Brunner, L. Kunze, V. Laidlaw, D. Jodlbauer, W. Drexler, et. al. Improvements on speed, stability and field of view in adaptive optics OCT for anterior retinal imaging using a pyramid wavefront sensor Biomedical Optics Express, 15(10):6098, 2024 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy | PDF )@article{BruKunLaiJodDre24,
author = {Brunner, E. and Kunze, L. and Laidlaw, V. and Jodlbauer, D. and Drexler, W. and Ramlau, R. and Pollreisz, A. and Pircher, M.},
title = {Improvements on speed, stability and field of view in adaptive optics OCT for anterior retinal imaging using a pyramid wavefront sensor},
doi = {10.1364/boe.533451},
journal = {Biomed. Opt. Express},
fjournal = {Biomedical Optics Express},
number = {10},
pages = {6098},
pdf = {https://opg.optica.org/directpdfaccess/cc51c6fd-eff2-471e-8a06498acd127607_560947/boe-15-10-6098.pdf},
volume = {15},
year = {2024},
}
M. C. Schneider, F. Hinterer, A. Jesacher and G. J. Schütz Interactive simulation and visualization of point spread functions in single molecule imaging Optics Communications, 560:130463, 2024 ( | Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )@article{SchnHinJesSchu24,
author = {Schneider, M.~C. and Hinterer, F. and Jesacher, A. and Sch{\"u}tz, G.~J.},
title = {Interactive simulation and visualization of point spread functions in single molecule imaging},
doi = {10.1016/j.optcom.2024.130463},
journal = {Opt. Commun.},
fjournal = {Optics Communications},
pages = {130463},
pdf = {https://www.sciencedirect.com/science/article/pii/S0030401824002001},
volume = {560},
year = {2024},
}
M. Quellmalz, L. Buecher and G. Steidl Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group Journal of Mathematical Imaging and Vision, 66(6):951–976, 2024 ( | Subproject: Motion Detection in Tomography and Microscopy | PDF )
| Subproject: Motion Detection in Tomography and Microscopy | PDF )@article{QueBueSte24,
author = {Quellmalz, M. and Buecher, L. and Steidl, G.},
title = {Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group},
doi = {10.1007/s10851-024-01206-w},
journal = {J. Math. Imaging Vision},
fjournal = {Journal of Mathematical Imaging and Vision},
number = {6},
pages = {951--976},
pdf = {https://link.springer.com/content/pdf/10.1007/s10851-024-01206-w.pdf},
volume = {66},
year = {2024},
}
W. Rannetbauer, S. Hubmer, C. Hambrock and R. Ramlau Predictive modelling of critical variables for improving HVOF coating using gamma regression models Journal of Mathematics in Industry, 14(1):, 2024 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{RanHubHamRam24,
author = {Rannetbauer, W. and Hubmer, S. and Hambrock, C. and Ramlau, R.},
title = {Predictive modelling of critical variables for improving HVOF coating using gamma regression models},
doi = {10.1186/s13362-024-00146-9},
journal = {J. Math. Ind.},
fjournal = {Journal of Mathematics in Industry},
number = {1},
pdf = {https://mathematicsinindustry.springeropen.com/counter/pdf/10.1186/s13362-024-00146-9.pdf},
volume = {14},
year = {2024},
}
L. Frischauf, O. Scherzer and C. Shi Quadratic Neural Networks for Solving Inverse Problems Numerical Functional Analysis and Optimization, 112–135, 2024 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FriSchShi24,
author = {Frischauf, L. and Scherzer, O. and Shi, C.},
title = {Quadratic Neural Networks for Solving Inverse Problems},
doi = {10.1080/01630563.2024.2316580},
issue = {2},
journal = {Numer. Funct. Anal. Optim.},
fjournal = {Numerical Functional Analysis and Optimization},
pages = {112--135},
pdf = {https://www.tandfonline.com/doi/epdf/10.1080/01630563.2024.2316580},
year = {2024},
}
L. Veselka, P. Elbau, L. Mindrinos, L. Krainz and W. Drexler Quantitative parameter reconstruction from optical coherence tomographic data Inverse Problems, 40(2):025001, 2024 ( | Subprojects: Multi-Modal Imaging + Quantitative Coupled Physics Imaging | PDF )
| Subprojects: Multi-Modal Imaging + Quantitative Coupled Physics Imaging | PDF )@article{VesElbMinKraDre24,
author = {Veselka, L. and Elbau, P. and Mindrinos, L. and Krainz, L. and Drexler, W.},
title = {Quantitative parameter reconstruction from optical coherence tomographic data},
doi = {10.1088/1361-6420/ad0fab},
eid = {025001},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {2},
pages = {025001},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ad0fab/pdf},
volume = {40},
year = {2024},
}
(preprint)
X. Li, S. Hubmer, S. Lu and R. Ramlau Regularization of Linear Inverse Problems with Irregular Noise Using Embedding Operators SIAM Journal on Imaging Sciences, 17(4):2053–2075, 2024 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{LiHubLuRam24,
author = {Li, X. and Hubmer, S. and Lu, S. and Ramlau, R.},
title = {Regularization of Linear Inverse Problems with Irregular Noise Using Embedding Operators},
doi = {10.1137/24m1636307},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {4},
pages = {2053--2075},
volume = {17},
year = {2024},
}
(preprint)
M. Kvaale Lovmo, S. Deng, S. Moser, R. Leitgeb, W. Drexler and M. Ritsch-Marte Ultrasound-induced reorientation for multi-angle optical coherence tomography Nature Communications, 15(1):, 2024 ( | Subprojects: Multi-Modal Imaging + Imaging of Trapped Particles | PDF )
| Subprojects: Multi-Modal Imaging + Imaging of Trapped Particles | PDF )@article{KvaDenMosLeiDre24,
author = {Kv{\aa}le L{\o}vmo, M. and Deng, S. and Moser, S. and Leitgeb, R. and Drexler, W. and Ritsch-Marte, M.},
title = {Ultrasound-induced reorientation for multi-angle optical coherence tomography},
doi = {10.1038/s41467-024-46506-2},
journal = {Nat. Commun.},
fjournal = {Nature Communications},
number = {1},
pdf = {https://www.nature.com/articles/s41467-024-46506-2.pdf},
volume = {15},
year = {2024},
}
F. Parzer, C. Kirisits and O. Scherzer Uncertainty Quantification for Scale-Space Blob Detection Journal of Mathematical Imaging and Vision, 66:697–717, 2024 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{ParKirSch24,
author = {Parzer, F. and Kirisits, C. and Scherzer, O.},
title = {Uncertainty Quantification for Scale-Space Blob Detection},
doi = {10.1007/s10851-024-01194-x},
journal = {J. Math. Imaging Vision},
fjournal = {Journal of Mathematical Imaging and Vision},
pages = {697--717},
pdf = {https://link.springer.com/content/pdf/10.1007/s10851-024-01194-x.pdf},
volume = {66},
year = {2024},
}
2023
(preprint)
M. Quellmalz, L. Weissinger, S. Hubmer and P. D. Erchinger A Frame Decomposition of the Funk-Radon TransformIn Lecture Notes in Computer Science, 42–54, 2023 ( | Subprojects: Tomography in Astronomy + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Tomography in Astronomy + Motion Detection in Tomography and Microscopy | PDF )@incollection{QueWeiHubErc23,
author = {Quellmalz, M. and Weissinger, L. and Hubmer, S. and Erchinger, P.~D.},
title = {A Frame Decomposition of the Funk-Radon Transform},
booktitle = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-031-31975-4_4},
pages = {42--54},
year = {2023},
}
(preprint)(preprint)
F. Hinterer, S. Hubmer, P. Jethwa, K. M. Soodhalter, G. van de Ven and R. Ramlau A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology SIAM Journal on Imaging Sciences, 16(1):192–222, 2023 ( | Subprojects: Tomography in Astronomy + Advancing Extragalactic Archeology through Novel Inversion Techniques | PDF )
| Subprojects: Tomography in Astronomy + Advancing Extragalactic Archeology through Novel Inversion Techniques | PDF )@article{HinHubJetSooVen23,
author = {Hinterer, F. and Hubmer, S. and Jethwa, P. and Soodhalter, K.~M. and van de Ven, G. and Ramlau, R.},
title = {A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology},
doi = {10.1137/22m1503002},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {1},
pages = {192--222},
volume = {16},
year = {2023},
}
(preprint)
S. Mildenberger and M. Quellmalz A double Fourier sphere method for d-dimensional manifolds Sampling Theory, Signal Processing, and Data Analysis, 21(2):, 2023 ( | Subproject: Motion Detection in Tomography and Microscopy | PDF )
| Subproject: Motion Detection in Tomography and Microscopy | PDF )@article{MilQue23,
author = {Mildenberger, S. and Quellmalz, M.},
title = {A double Fourier sphere method for d-dimensional manifolds},
doi = {10.1007/s43670-023-00064-8},
journal = {Sampl. Theory Signal Process. Data Anal.},
fjournal = {Sampling Theory, Signal Processing, and Data Analysis},
number = {2},
pdf = {https://link.springer.com/content/pdf/10.1007/s43670-023-00064-8.pdf},
volume = {21},
year = {2023},
}
D. Gintides, S. Giogiakas and L. Mindrinos A theoretical and numerical study of oblique scattering by an inhomogeneous cylinder Journal of Physics: Conference Series, 2444(1):012009, 2023 ( | PDF )
| PDF )@article{GinGioMin23,
author = {Gintides, D. and Giogiakas, S. and Mindrinos, L.},
title = {A theoretical and numerical study of oblique scattering by an inhomogeneous cylinder},
doi = {10.1088/1742-6596/2444/1/012009},
journal = {J. Phys. Conf. Ser.},
fjournal = {Journal of Physics: Conference Series},
number = {1},
pages = {012009},
pdf = {https://iopscience.iop.org/article/10.1088/1742-6596/2444/1/012009/pdf},
volume = {2444},
year = {2023},
}
D. Omogbhe and K. Sadiq An inverse source problem for linearly anisotropic radiative sources in absorbing and scattering medium Applicable Analysis, 1–16, 2023 ( | PDF )
| PDF )@article{OmoSad23a,
author = {Omogbhe, D. and Sadiq, K.},
title = {An inverse source problem for linearly anisotropic radiative sources in absorbing and scattering medium},
doi = {10.1080/00036811.2023.2234387},
journal = {Appl. Anal.},
fjournal = {Applicable Analysis},
pages = {1--16},
pdf = {https://www.tandfonline.com/doi/epdf/10.1080/00036811.2023.2234387?needAccess=true},
year = {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 ( | Subprojects: Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{HubSheRam23,
author = {Hubmer, S. and Sherina, E. and Ramlau, R.},
title = {Characterizations of adjoint Sobolev embedding operators with applications in inverse problems},
doi = {10.1553/etna_vol59s116},
journal = {Electron. Trans. Numer. Anal.},
fjournal = {Electronic Transactions on Numerical Analysis},
pages = {116--144},
pdf = {https://epub.oeaw.ac.at/0xc1aa5576_0x003e6cc3.pdf},
volume = {59},
year = {2023},
}
P. Elbau, L. Mindrinos and L. Veselka Development of mathematical models for quantitative OCT: A review AIMS Mathematics, 8(2):2508-2531, 2023 ( | Subproject: Quantitative Coupled Physics Imaging | PDF )
| Subproject: Quantitative Coupled Physics Imaging | PDF )@article{ElbMinVes23,
author = {Elbau, P. and Mindrinos, L. and Veselka, L.},
title = {Development of mathematical models for quantitative OCT: A review},
doi = {10.3934/math.2023130},
issuetitle = {Mathematical modeling and optimal control of complex systems, complex networks and multi-scale models},
journal = {AIMS Mathematics},
fjournal = {AIMS Mathematics},
number = {2},
pages = {2508-2531},
pdf = {https://www.aimspress.com/article/doi/10.3934/math.2023130},
volume = {8},
year = {2023},
}
O. Scherzer, B. Hofmann and Z. Nashed Gauss–Newton method for solving linear inverse problems with neural network coders Sampling Theory, Signal Processing, and Data Analysis, 21(2):, 2023 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{SchHofNas23,
author = {Scherzer, O. and Hofmann, B. and Nashed, Z.},
title = {Gauss{\textendash}Newton method for solving linear inverse problems with neural network coders},
doi = {10.1007/s43670-023-00066-6},
journal = {Sampl. Theory Signal Process. Data Anal.},
fjournal = {Sampling Theory, Signal Processing, and Data Analysis},
number = {2},
pdf = {https://link.springer.com/content/pdf/10.1007/s43670-023-00066-6.pdf},
volume = {21},
year = {2023},
}
F. Hinterer, M. C. Schneider, S. Hubmer, M. López-Martínez, R. Ramlau and G. J. Schütz Localization of fixed dipoles at high precision by accounting for sample drift during illumination Applied Physics Letters, 123(2):, 2023 ( | Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )@article{HinSchnHubLopRam23,
author = {Hinterer, F. and Schneider, M.~C. and Hubmer, S. and L{\'o}pez-Mart{\'i}nez, M. and Ramlau, R. and Sch{\"u}tz, G.~J.},
title = {Localization of fixed dipoles at high precision by accounting for sample drift during illumination},
doi = {10.1063/5.0137834},
journal = {Appl. Phys. Lett.},
fjournal = {Applied Physics Letters},
number = {2},
pdf = {https://pubs.aip.org/aip/apl/article-pdf/doi/10.1063/5.0137834/18042148/023703_1_5.0137834.pdf},
volume = {123},
year = {2023},
}
(preprint)
M. Quellmalz, P. Elbau, O. Scherzer and G. Steidl Motion Detection in Diffraction Tomography by Common Circle Methods Mathematics of Computation, 2023 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )@article{QueElbSchSte23,
author = {Quellmalz, M. and Elbau, P. and Scherzer, O. and Steidl, G.},
title = {Motion Detection in Diffraction Tomography by Common Circle Methods},
doi = {10.1090/mcom/3869},
journal = {Math. Comp.},
fjournal = {Mathematics of Computation},
year = {2023},
}
(preprint)(preprint)
D. Omogbhe and K. Sadiq On the 𝑋-ray transform of planar symmetric tensors Journal of Inverse and Ill-Posed Problems, 2023 ( | PDF )
| PDF )@article{OmoSad23,
author = {Omogbhe, D. and Sadiq, K.},
title = {On the $X$-ray transform of planar symmetric tensors},
doi = {10.1515/jiip-2022-0055},
journal = {J. Inverse Ill-Posed Probl.},
fjournal = {Journal of Inverse and Ill-Posed Problems},
year = {2023},
}
(preprint)
K. Sadiq and A. Tamasan On the range of the 𝑋-ray transform of symmetric tensors compactly supported in the plane Inverse Problems & Imaging, 17(3):660–685, 2023 ( | PDF )
| PDF )@article{SadTam23,
author = {Sadiq, K. and Tamasan, A.},
title = {On the range of the $X$-ray transform of symmetric tensors compactly supported in the plane},
doi = {10.3934/ipi.2022070},
journal = {Inverse Probl. Imaging},
fjournal = {Inverse Problems {\&} Imaging},
number = {3},
pages = {660--685},
pdf = {https://www.aimsciences.org//article/doi/10.3934/ipi.2022070},
volume = {17},
year = {2023},
}
F. Faucher and O. Scherzer Quantitative inverse problem in visco-acoustic media under attenuation model uncertainty Journal of Computational Physics, 472:111685, January, 2023 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FauSch23,
author = {Faucher, F. and Scherzer, O.},
title = {Quantitative inverse problem in visco-acoustic media under attenuation model uncertainty},
doi = {10.1016/j.jcp.2022.111685},
journal = {J. Comput. Phys.},
fjournal = {Journal of Computational Physics},
month = jan,
pages = {111685},
pdf = {https://www.sciencedirect.com/science/article/pii/S0021999122007483/pdfft?md5=89a23717cccf53e69bee4beb80934dfe&pid=1-s2.0-S0021999122007483-main.pdf},
volume = {472},
year = {2023},
}
D. Schmutz, P. Elbau, M. Quellmalz, M. Ritsch-Marte, O. Scherzer and Steidl G. Rigid Motion Reconstruction in Parallel Beam and Diffraction TomographyIn Oberwolfach Reports: Tomographic Inverse Problems - Mathematical Challenges and Novel Applications, (21)41–43. Mathematisches Forschungsinstitut Oberwolfach, 2023 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )@inproceedings{SchmElbQueRitSch23,
author = {Schmutz, D. and Elbau, P. and Quellmalz, M. and Ritsch-Marte, M. and Scherzer, O. and Steidl G.},
title = {Rigid Motion Reconstruction in Parallel Beam and Diffraction Tomography},
booktitle = {Oberwolfach Reports: Tomographic Inverse Problems - Mathematical Challenges and Novel Applications},
number = {21},
pages = {41--43},
pdf = {https://publications.mfo.de/bitstream/handle/mfo/4061/OWR_2023_21.pdf},
publisher = {Mathematisches Forschungsinstitut Oberwolfach},
url = {https://publications.mfo.de/handle/mfo/4061},
year = {2023},
}
(preprint)
M. Quellmalz, R. Beinert and G. Steidl Sliced optimal transport on the sphere Inverse Problems, 39(10):105005, 2023 ( | Subproject: Motion Detection in Tomography and Microscopy | PDF )
| Subproject: Motion Detection in Tomography and Microscopy | PDF )@article{QueBeiSte23,
author = {Quellmalz, M. and Beinert, R. and Steidl, G.},
title = {Sliced optimal transport on the sphere},
doi = {10.1088/1361-6420/acf156},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {10},
pages = {105005},
volume = {39},
year = {2023},
}
(preprint)(preprint)
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{HubSheRamPirLei23,
author = {Hubmer, S. and Sherina, E. and Ramlau, R. and Pircher, M. and Leitgeb, R.},
title = {Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach},
doi = {10.1137/22m1543240},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {4},
pages = {1857-1885},
volume = {16},
year = {2023},
}
(preprint)
F. Faucher and O. Scherzer Synthetic dataset for visco-acoustic imaging Data in Brief, 48:109199, 2023 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FauSch23b,
author = {Faucher, F. and Scherzer, O.},
title = {Synthetic dataset for visco-acoustic imaging},
doi = {10.1016/j.dib.2023.109199},
journal = {Data Br.},
fjournal = {Data in Brief},
pages = {109199},
pdf = {https://www.sciencedirect.com/science/article/pii/S2352340923003189/pdfft?md5=671cb00da25697e4b248a24b6fbef5e0&pid=1-s2.0-S2352340923003189-main.pdf},
volume = {48},
year = {2023},
}
R. Beinert and M. Quellmalz Total Variation‐Based Reconstruction and Phase Retrieval for Diffraction Tomography with an Arbitrarily Moving Object Proceedings in Applied Mathematics and Mechanics, 22(1):, 2023 ( | Subproject: Motion Detection in Tomography and Microscopy | PDF )
| Subproject: Motion Detection in Tomography and Microscopy | PDF )@article{BeiQue23,
author = {Beinert, R. and Quellmalz, M.},
title = {Total Variation‐Based Reconstruction and Phase Retrieval for Diffraction Tomography with an Arbitrarily Moving Object},
doi = {10.1002/pamm.202200135},
journal = {Proc. Appl. Math. Mech.},
fjournal = {Proceedings in Applied Mathematics and Mechanics},
number = {1},
pdf = {https://onlinelibrary.wiley.com/doi/epdf/10.1002/pamm.202200135},
volume = {22},
year = {2023},
}
F. Parzer, P. Jethwa, A. Boecker, M. Alfaro-Cuello, O. Scherzer and G. van de Ven Uncertainty-aware blob detection with an application to integrated-light stellar population recoveries Astronomy & Astrophysics, 2023 ( | Subprojects: Tomography with Uncertainties + Advancing Extragalactic Archeology through Novel Inversion Techniques | PDF )
| Subprojects: Tomography with Uncertainties + Advancing Extragalactic Archeology through Novel Inversion Techniques | PDF )@article{ParJetBoeAlfSch23,
author = {Parzer, F. and Jethwa, P. and Boecker, A. and Alfaro-Cuello, M. and Scherzer, O. and van de Ven, G.},
title = {Uncertainty-aware blob detection with an application to integrated-light stellar population recoveries},
doi = {10.1051/0004-6361/202244739},
journal = {Astronom. and Astrophys.},
fjournal = {Astronomy {\&} Astrophysics},
pdf = {https://www.aanda.org/articles/aa/pdf/forth/aa44739-22.pdf},
year = {2023},
}
2022
S. Hubmer, A. Ploier, R. Ramlau, P. Fosodeder and S. van Frank A mathematical approach towards THz tomography for non-destructive imaging Inverse Problems & Imaging, 16(1):68–88, 2022 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubPloRamFosFra21,
author = {Hubmer, S. and Ploier, A. and Ramlau, R. and Fosodeder, P. and van Frank, S.},
title = {A mathematical approach towards {THz} tomography for non-destructive imaging},
doi = {10.3934/ipi.2021041},
journal = {Inverse Probl. Imaging},
fjournal = {Inverse Problems {\&} Imaging},
number = {1},
pages = {68--88},
pdf = {https://www.aimsciences.org/article/doi/10.3934/ipi.2021041#FullText},
volume = {16},
year = {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 ( | Subprojects: Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{HubSheKinRai22,
author = {Hubmer, S. and Sherina, E. and Kindermann, S. and Raik, K.},
title = {A numerical comparison of some heuristic stopping rules for nonlinear Landweber iteration},
doi = {10.1553/etna_vol57s216},
journal = {Electron. Trans. Numer. Anal.},
fjournal = {Electronic Transactions on Numerical Analysis},
pages = {216--241},
pdf = {https://epub.oeaw.ac.at/0xc1aa5576_0x003dd6da.pdf},
url = {https://doi.org/10.1553/etna_vol57s216},
volume = {57},
year = {2022},
}
F. A. Ba and M. Quellmalz Accelerating the Sinkhorn Algorithm for Sparse Multi-Marginal Optimal Transport via Fast Fourier Transforms Algorithms, 15(9):311, 2022 ( | Subproject: Motion Detection in Tomography and Microscopy | PDF )
| Subproject: Motion Detection in Tomography and Microscopy | PDF )@article{BaQue22,
author = {Ba, F.~A. and Quellmalz, M.},
title = {Accelerating the Sinkhorn Algorithm for Sparse Multi-Marginal Optimal Transport via Fast Fourier Transforms},
doi = {10.3390/a15090311},
journal = {Algorithms},
fjournal = {Algorithms},
number = {9},
pages = {311},
pdf = {https://page.math.tu-berlin.de/~quellm/paper/algorithms-15-00311.pdf},
volume = {15},
year = {2022},
}
M. K. Lovmo, S. Moser, G. Thalhammer-Thurner and M. Ritsch-Marte Acoustofluidic trapping device for high-NA multi-angle imaging Frontiers in Physics, 10:, 2022 ( | Subproject: Imaging of Trapped Particles | PDF )
| Subproject: Imaging of Trapped Particles | PDF )@article{LovMosThaRit22,
author = {L{\o}vmo, M.~K. and Moser, S. and Thalhammer-Thurner, G. and Ritsch-Marte, M.},
title = {Acoustofluidic trapping device for high-NA multi-angle imaging},
doi = {10.3389/fphy.2022.940115},
journal = {Front. Phys.},
fjournal = {Frontiers in Physics},
pdf = {https://www.frontiersin.org/articles/10.3389/fphy.2022.940115/pdf},
volume = {10},
year = {2022},
}
A. Kittenberger, L. Mindrinos and O. Scherzer Computed Origami Tomography SIAM Review, 64(2):469–484, 2022 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{KitMinSch22,
author = {Kittenberger, A. and Mindrinos, L. and Scherzer, O.},
title = {Computed Origami Tomography},
doi = {10.1137/20M1378247},
journal = {{SIAM} Rev.},
fjournal = {{SIAM} Review},
number = {2},
pages = {469--484},
url = {https://epubs.siam.org/doi/10.1137/20M1378247},
volume = {64},
year = {2022},
}
R. Boţ, G. Dong, P. Elbau and O. Scherzer Convergence Rates of First and Higher Order Dynamics for Solving Linear Ill-posed Problems Foundations of Computational Mathematics, 22:1567–1629, 2022 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties | PDF )@article{BotDonElbSch22,
author = {Boţ, R. and Dong, G. and Elbau, P. and Scherzer, O.},
title = {Convergence Rates of First and Higher Order Dynamics for Solving Linear Ill-posed Problems},
doi = {10.1007/s10208-021-09536-6},
journal = {Found. Comput. Math.},
fjournal = {Foundations of Computational Mathematics},
pages = {1567--1629},
pdf = {https://link.springer.com/content/pdf/10.1007/s10208-021-09536-6.pdf},
volume = {22},
year = {2022},
}
(preprint)
F. Faucher, C. Kirisits, M. Quellmalz, O. Scherzer and E. Setterqvist Diffraction Tomography, Fourier Reconstruction, and Full Waveform InversionIn Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2022 ( | Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties | PDF )
| Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties | PDF )@incollection{FauKirQueSchSet22a,
author = {Faucher, F. and Kirisits, C. and Quellmalz, M. and Scherzer, O. and Setterqvist, E.},
title = {Diffraction Tomography, Fourier Reconstruction, and Full Waveform Inversion},
booktitle = {Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging},
doi = {10.1007/978-3-030-03009-4_115-1},
url = {https://link.springer.com/referenceworkentry/10.1007/978-3-030-03009-4_115-1},
year = {2022},
}
(preprint)
L. Frischauf, M. Melching and O. Scherzer Diffusion tensor regularization with metric double integrals Journal of Inverse and Ill-Posed Problems, 30(2):163–190, 2022 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FriMelSch22,
author = {Frischauf, L. and Melching, M. and Scherzer, O.},
title = {Diffusion tensor regularization with metric double integrals},
doi = {10.1515/jiip-2021-0041},
journal = {J. Inverse Ill-Posed Probl.},
fjournal = {Journal of Inverse and Ill-Posed Problems},
number = {2},
pages = {163--190},
pdf = {https://www.degruyter.com/document/doi/10.1515/jiip-2021-0041/pdf},
volume = {30},
year = {2022},
}
R. Wagner, D. Saxenhuber, R. Ramlau and S. Hubmer Direction dependent point spread function reconstruction for multi-conjugate adaptive optics on giant segmented mirror telescopes Astronomy and Computing, 40:100590, 2022 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{WagSaxRamHub22,
author = {Wagner, R. and Saxenhuber, D. and Ramlau, R. and Hubmer, S.},
title = {Direction dependent point spread function reconstruction for multi-conjugate adaptive optics on giant segmented mirror telescopes},
doi = {10.1016/j.ascom.2022.100590},
journal = {Astron. Comput.},
fjournal = {Astronomy and Computing},
pages = {100590},
pdf = {https://www.sciencedirect.com/science/article/pii/S2213133722000270/pdfft?md5=dac29f8b4ff2f349b7796dbdac3d4517},
volume = {40},
year = {2022},
}
M. C. Schneider and G. J. Schütz Don't Be Fooled by Randomness: Valid p-Values for Single Molecule Microscopy Frontiers in Bioinformatics, 2:, 2022 ( | Subproject: Ultra-high Resolution Microscopy | PDF )
| Subproject: Ultra-high Resolution Microscopy | PDF )@article{SchnSchu22,
author = {Schneider, M.~C. and Sch{\"u}tz, G.~J.},
title = {Don't Be Fooled by Randomness: Valid p-Values for Single Molecule Microscopy},
doi = {10.3389/fbinf.2022.811053},
journal = {Front. Bioinform.},
fjournal = {Frontiers in Bioinformatics},
pdf = {https://www.frontiersin.org/articles/10.3389/fbinf.2022.811053/full},
volume = {2},
year = {2022},
}
S. Hubmer, R. Ramlau and L. Weissinger On regularization via frame decompositions with applications in tomography Inverse Problems, 38(5):055003, 2022 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubRamWei22,
author = {Hubmer, S. and Ramlau, R. and Weissinger, L.},
title = {On regularization via frame decompositions with applications in tomography},
doi = {10.1088/1361-6420/ac5b86},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {5},
pages = {055003},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ac5b86/pdf},
volume = {38},
year = {2022},
}
R. Chapko and L. Mindrinos On the Numerical Solution of a Hyperbolic Inverse Boundary Value Problem in Bounded Domains Mathematics, 10:750, 2022 ( | PDF )
| PDF )@article{ChaMin22,
author = {Chapko, R. and Mindrinos, L.},
title = {On the Numerical Solution of a Hyperbolic Inverse Boundary Value Problem in Bounded Domains},
doi = {10.3390/math10050750},
issue = {5},
journal = {Math.},
fjournal = {Mathematics},
pages = {750},
url = {https://www.mdpi.com/2227-7390/10/5/750},
volume = {10},
year = {2022},
}
(preprint)
B. Stadler and R. Ramlau Performance of an iterative wavelet reconstructor for the Multi-conjugate Adaptive Optics RelaY of the Extremely Large Telescope Journal of Astronomical Telescopes, Instruments, and Systems, 8(2):, 2022 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{StaRam22,
author = {Stadler, B. and Ramlau, R.},
title = {Performance of an iterative wavelet reconstructor for the Multi-conjugate Adaptive Optics RelaY of the Extremely Large Telescope},
doi = {10.1117/1.jatis.8.2.021503},
journal = {J. Astronom. Telesc. Instrum. Syst.},
fjournal = {Journal of Astronomical Telescopes, Instruments, and Systems},
number = {2},
volume = {8},
year = {2022},
}
(preprint)
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{KraSheHubLiuDre22,
author = {Krainz, L. and Sherina, E. and Hubmer, S. and Liu, M. and Drexler, W. and Scherzer, O.},
title = {Quantitative Optical Coherence Elastography: A Novel Intensity-Based Inversion Method Versus Strain-Based Reconstructions},
doi = {10.1109/jstqe.2022.3225108},
journal = {{IEEE} J. Sel. Topics Quantum Electron.},
fjournal = {{IEEE} Journal of Selected Topics in Quantum Electronics},
month = jul,
number = {4: Biophotonics},
pages = {1--16},
pdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9964203},
volume = {29},
year = {2022},
}
F. Hinterer, M. C. Schneider, S. Hubmer, M. López-Martinez, P. Zelger, et. al. Robust and bias-free localization of individual fixed dipole emitters achieving the Cramér Rao bound for applications in cryo-single molecule localization microscopy PLoS ONE, 17(2):e0263500, 2022 ( | Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )@article{HinSchnHubLopZel22,
author = {Hinterer, F. and Schneider, M.~C. and Hubmer, S. and L{\'o}pez-Martinez, M. and Zelger, P. and Jesacher, A. and Ramlau, R. and Sch{\"u}tz, G.~J.},
title = {Robust and bias-free localization of individual fixed dipole emitters achieving the Cram{\'e}r Rao bound for applications in cryo-single molecule localization microscopy},
doi = {10.1371/journal.pone.0263500},
editor = {Cebecauer, M.},
journal = {{PLoS} {ONE}},
fjournal = {{PLoS} {ONE}},
number = {2},
pages = {e0263500},
pdf = {https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0263500&type=printable},
volume = {17},
year = {2022},
}
(preprint)
R. Beinert and M. Quellmalz Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography SIAM Journal on Imaging Sciences, 15(3):1373–1399, 2022 ( | Subproject: Motion Detection in Tomography and Microscopy | PDF )
| Subproject: Motion Detection in Tomography and Microscopy | PDF )@article{BeiQue22,
author = {Beinert, R. and Quellmalz, M.},
title = {Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography},
doi = {10.1137/22m1474382},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {3},
pages = {1373--1399},
volume = {15},
year = {2022},
}
(preprint)2021
L. Veselka, L. Krainz, L. Mindrinos, W. Drexler and P. Elbau A Quantitative Model for Optical Coherence Tomography Sensors, 21(20):6864, 2021 ( | Subprojects: Multi-Modal Imaging + Quantitative Coupled Physics Imaging | PDF )
| Subprojects: Multi-Modal Imaging + Quantitative Coupled Physics Imaging | PDF )@article{VesKraMinDreElb21,
author = {Veselka, L. and Krainz, L. and Mindrinos, L. and Drexler, W. and Elbau, P. },
title = {A Quantitative Model for Optical Coherence Tomography},
doi = {10.3390/s21206864},
journal = {Sens.},
fjournal = {Sensors},
number = {20},
pages = {6864},
url = {https://www.mdpi.com/1424-8220/21/20/6864},
volume = {21},
year = {2021},
}
M. C. Schneider, R. Telschow, G. Mercier, M. López-Martínez, O. Scherzer and G. J. Schütz A workflow for sizing oligomeric biomolecules based on cryo single molecule localization microscopy PLoS ONE, 16(1):e0245693, 2021 ( | Subprojects: Tomography with Uncertainties + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography with Uncertainties + Ultra-high Resolution Microscopy | PDF )@article{SchnTelMerLopSch21,
author = {Schneider, M.~C. and Telschow, R. and Mercier, G. and L{\'o}pez-Mart{\'i}nez, M. and Scherzer, O. and Schütz, G.~J. },
title = {A workflow for sizing oligomeric biomolecules based on cryo single molecule localization microscopy},
doi = {10.1371/journal.pone.0245693},
journal = {{PLoS} {ONE}},
fjournal = {{PLoS} {ONE}},
number = {1},
pages = {e0245693},
pdf = {https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0245693&type=printable},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0245693},
volume = {16},
year = {2021},
}
R. Ramlau and B. Stadler An augmented wavelet reconstructor for atmospheric tomography Electronic Transactions on Numerical Analysis, 54:256–275, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{RamSta21,
author = {Ramlau, R. and Stadler, B.},
title = {An augmented wavelet reconstructor for atmospheric tomography},
doi = {10.1553/etna_vol54s256},
journal = {Electron. Trans. Numer. Anal.},
fjournal = {Electronic Transactions on Numerical Analysis},
pages = {256--275},
pdf = {https://epub.oeaw.ac.at/0xc1aa5576_0x003c53f1.pdf},
volume = {54},
year = {2021},
}
(preprint)
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@inproceedings{SheKraHubDreSch21,
author = {Sherina, E. and Krainz, L. and Hubmer, S. and Drexler, W. and Scherzer, O.},
title = {Challenges for Optical Flow Estimates in Elastography},
booktitle = {Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-75549-2_11},
number = {1},
pages = {128--139},
year = {2021},
}
(preprint)
M. Kvaale Lovmo, B. Pressl, G. Thalhammer and M. Ritsch-Marte Controlled orientation and sustained rotation of biological samples in a sono-optical microfluidic device Lab on a Chip, 21(8):1563–1578, 2021 ( | Subproject: Imaging of Trapped Particles | PDF )
| Subproject: Imaging of Trapped Particles | PDF )@article{LovPreThaRit21,
author = {Kv{\aa}le L{\o}vmo, M. and Pressl, B. and Thalhammer, G. and Ritsch-Marte, M.},
title = {Controlled orientation and sustained rotation of biological samples in a sono-optical microfluidic device},
doi = {10.1039/d0lc01261k},
journal = {Lab Chip},
fjournal = {Lab on a Chip},
number = {8},
pages = {1563--1578},
pdf = {https://pubs.rsc.org/en/content/articlepdf/2021/lc/d0lc01261k},
volume = {21},
year = {2021},
}
(preprint)
A. Aspri, L. Frischauf, Y. Korolev and O. Scherzer Data Driven Reconstruction Using Frames and Riesz BasesIn B. Jadamba, A. A. Khan, S. Migórski and M. Sama, editors, Deterministic and Stochastic Optimal Control and Inverse Problems, 303–318. CRC Press, 2021 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@incollection{AspFriKorSch21,
author = {Aspri, A. and Frischauf, L. and Korolev, Y. and Scherzer, O.},
title = {Data Driven Reconstruction Using Frames and Riesz Bases},
booktitle = {Deterministic and Stochastic Optimal Control and Inverse Problems},
doi = {10.1201/9781003050575-13},
editor = {Jadamba, B. and Khan, A.~A. and Migórski, S. and Sama, M.},
pages = {303--318},
publisher = {CRC Press},
year = {2021},
}
(preprint)
D. Gerth and R. Ramlau Estimating Solution Smoothness and Data Noise with Tikhonov Regularization Numerical Functional Analysis and Optimization, 43(1):88–115, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{GerRam21,
author = {Gerth, D. and Ramlau, R.},
title = {Estimating Solution Smoothness and Data Noise with Tikhonov Regularization},
doi = {10.1080/01630563.2021.2007948},
journal = {Numer. Funct. Anal. Optim.},
fjournal = {Numerical Functional Analysis and Optimization},
number = {1},
pages = {88--115},
pdf = {https://www.tandfonline.com/doi/pdf/10.1080/01630563.2021.2007948},
volume = {43},
year = {2021},
}
C. Kirisits, M. Quellmalz, M. Ritsch-Marte, O. Scherzer, E. Setterqvist and G. Steidl Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations Inverse Problems, 37(11):115002, 2021 ( | Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )@article{KirQueRitSchSet21,
author = {Kirisits, C. and Quellmalz, M. and Ritsch-Marte, M. and Scherzer, O. and Setterqvist, E. and Steidl, G.},
title = {Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations},
doi = {10.1088/1361-6420/ac2749},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {11},
pages = {115002},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ac2749/pdf},
volume = {37},
year = {2021},
}
S. Hubmer and R. Ramlau Frame decompositions of bounded linear operators in Hilbert spaces with applications in tomography Inverse Problems, 37(5):055001, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubRam21,
author = {Hubmer, S. and Ramlau, R.},
title = {Frame decompositions of bounded linear operators in Hilbert spaces with applications in tomography},
doi = {10.1088/1361-6420/abe5b8},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {5},
pages = {055001},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/abe5b8/pdf},
volume = {37},
year = {2021},
}
(preprint)
M. López-Martínez, G. Mercier, K. Sadiq, O. Scherzer, M. Schneider, et. al. Inverse Problems of Single Molecule Localization MicroscopyIn B. Kaltenbacher, T. Schuster and A. Wald, editors, Time-dependent Problems in Imaging and Parameter Identification, 323–376. Springer Nature, 2021 ( | Subprojects: Tomography with Uncertainties + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography with Uncertainties + Ultra-high Resolution Microscopy | PDF )@incollection{LopMerSadSchSchn21,
author = {L{\'o}pez-Mart{\'i}nez, M. and Mercier, G. and Sadiq, K. and Scherzer, O. and Schneider, M. and Schotland, J.~C. and Sch{\"u}tz, G.~J. and Telschow, R.},
title = {Inverse Problems of Single Molecule Localization Microscopy},
booktitle = {Time-dependent Problems in Imaging and Parameter Identification},
doi = {10.1007/978-3-030-57784-1_12},
editor = {Kaltenbacher, B. and Schuster, T. and Wald, A.},
pages = {323--376},
publisher = {Springer Nature},
year = {2021},
}
(preprint)(preprint)
B. Stadler, R. Biasi, M. Manetti and R. Ramlau Parallel implementation of an iterative solver for atmospheric tomographyIn 2021 21st International Conference on Computational Science and Its Applications (ICCSA), 9909:123–132, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@inproceedings{StaBiaManRam21,
author = {Stadler, B. and Biasi, R. and Manetti, M. and Ramlau, R.},
title = {Parallel implementation of an iterative solver for atmospheric tomography},
booktitle = {2021 21st International Conference on Computational Science and Its Applications (ICCSA)},
doi = {10.1109/iccsa54496.2021.00026},
pages = {123--132},
volume = {9909},
year = {2021},
}
(preprint)(preprint)
P. Fosodeder, S. Hubmer, A. Ploier, R. Ramlau, S. van Frank and Ch. Rankl Phase-contrast TZh-CT for non-destructive testing Optics Express, 29(10):15711, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{FosHubPloRamFra21,
author = {Fosodeder, P. and Hubmer, S. and Ploier, A. and Ramlau, R. and van Frank, S. and Rankl, Ch.},
title = {Phase-contrast {TZh}-{CT} for non-destructive testing},
doi = {10.1364/oe.422961},
journal = {Opt. Express},
fjournal = {Optics Express},
number = {10},
pages = {15711},
volume = {29},
year = {2021},
}
(preprint)(preprint)
P. Elbau, L. Mindrinos and L. Veselka Quantitative OCT reconstructions for dispersive mediaIn B. Kaltenbacher, T. Schuster and A. Wald, editors, Time-dependent Problems in Imaging and Parameter Identification, 229–266. Springer, Cham, 2021 ( | Subproject: Quantitative Coupled Physics Imaging | PDF )
| Subproject: Quantitative Coupled Physics Imaging | PDF )@incollection{ElbMinVes21,
author = {Elbau, P. and Mindrinos, L. and Veselka, L.},
title = {Quantitative OCT reconstructions for dispersive media},
booktitle = {Time-dependent Problems in Imaging and Parameter Identification},
doi = {https://doi.org/10.1007/978-3-030-57784-1_8},
editor = {Kaltenbacher, B. and Schuster, T. and Wald, A.},
pages = {229--266},
publisher = {Springer, Cham},
year = {2021},
}
(preprint)
F. Faucher, M. V. de Hoop and O. Scherzer Reciprocity-gap misfit functional for Distributed Acoustic Sensing, combining data from passive and active sources Geophysics, 86(2):R211–R220, 2021 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FauHooSch20,
author = {Faucher, F. and de Hoop, M.~V. and Scherzer, O.},
title = {Reciprocity-gap misfit functional for Distributed Acoustic Sensing, combining data from passive and active sources},
doi = {10.1190/geo2020-0305.1},
journal = {Geophysics},
fjournal = {Geophysics},
number = {2},
pages = {R211--R220},
pdf = {https://library.seg.org/doi/pdf/10.1190/geo2020-0305.1},
url = {https://library.seg.org/doi/10.1190/geo2020-0305.1},
volume = {86},
year = {2021},
}
E. Brunner, J. Shatokhina, M. F. Shirazi, W. Drexler, R. Leitgeb, et. al. Retinal adaptive optics imaging with a pyramid wavefront sensor Biomedical Optics Express, 12(10):5969, 2021 ( | Subproject: Multi-Modal Imaging | PDF )
| Subproject: Multi-Modal Imaging | PDF )@article{BruShaShiDreLei21b,
author = {Brunner, E. and Shatokhina, J. and Shirazi, M.~F. and Drexler, W. and Leitgeb, R. and Pollreisz, A. and Hitzenberger, Ch.~K. and Ramlau, R. and Pircher, M.},
title = {Retinal adaptive optics imaging with a pyramid wavefront sensor},
doi = {10.1364/boe.438915},
journal = {Biomed. Opt. Express},
fjournal = {Biomedical Optics Express},
number = {10},
pages = {5969},
pdf = {https://www.osapublishing.org/DirectPDFAccess/E4978F4B-01E1-4A27-B56B6512338D132E_458428/boe-12-10-5969.pdf},
volume = {12},
year = {2021},
}
G. J. Schütz and M. C. Schneider Single-molecule localisation microscopyIn Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 1: Part I: Ex vivo biological imaging, 2021 ( | Subproject: Ultra-high Resolution Microscopy | PDF )
| Subproject: Ultra-high Resolution Microscopy | PDF )@incollection{SchuSchn21,
author = {Sch{\"u}tz, G.~J. and Schneider, M.~C.},
title = {Single-molecule localisation microscopy},
booktitle = {Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 1: Part I: Ex vivo biological imaging},
doi = {10.1088/978-0-7503-3059-6ch18},
pdf = {https://tomography.univie.ac.at/p/BookChapter_SMLM_SchneiderSchuetz.pdf},
year = {2021},
}
(preprint)
R. Ramlau, K. M. Soodhalter and V. Hutterer Subspace Recycling–Based Regularization Methods SIAM Journal on Matrix Analysis and Applications, 42(4):1480–1505, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{RamSooHut21,
author = {Ramlau, R. and Soodhalter, K.~M. and Hutterer, V.},
title = {Subspace Recycling--Based Regularization Methods},
doi = {10.1137/20m1379617},
journal = {{SIAM} J. Matrix Anal. Appl.},
fjournal = {{SIAM} Journal on Matrix Analysis and Applications},
number = {4},
pages = {1480--1505},
volume = {42},
year = {2021},
}
(preprint)(preprint)
B. Kaltenbacher, T. T. N. Nguyen and O. Scherzer The Tangential Cone Condition for Some Coefficient Identification Model Problems in Parabolic PDEsIn B. Kaltenbacher, T. Schuster and A. Wald, editors, Time-dependent Problems in Imaging and Parameter Identification, 121–163. Springer, Cham, 2021 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@incollection{KalNguSch21,
author = {Kaltenbacher, B. and Nguyen, T.~T.~N. and Scherzer, O.},
title = {The Tangential Cone Condition for Some Coefficient Identification Model Problems in Parabolic PDEs},
booktitle = {Time-dependent Problems in Imaging and Parameter Identification},
doi = {10.1007/978-3-030-57784-1_5},
editor = {Kaltenbacher, B. and Schuster, T. and Wald, A.},
pages = {121--163},
publisher = {Springer, Cham},
year = {2021},
}
(preprint)(preprint)
J. Niebsch and R. Ramlau Tomographic Reconstruction for Single Conjugate Adaptive OpticsIn Time-dependent Problems in Imaging and Parameter Identification, 303–322. Springer International Publishing, February, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@incollection{NieRam21,
author = {Niebsch, J. and Ramlau, R.},
title = {Tomographic Reconstruction for Single Conjugate Adaptive Optics},
booktitle = {Time-dependent Problems in Imaging and Parameter Identification},
doi = {10.1007/978-3-030-57784-1_11},
month = feb,
pages = {303--322},
publisher = {Springer International Publishing},
year = {2021},
}
(preprint)2020
(preprint)
A. Aspri, S. Banert, O. Öktem and O. Scherzer A Data-Driven Iteratively Regularized Landweber Iteration Numerical Functional Analysis and Optimization, 41(10):1190–1227, March, 2020 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{AspBanOekSch20,
author = {Aspri, A. and Banert, S. and Öktem, O. and Scherzer, O.},
title = {A Data-Driven Iteratively Regularized Landweber Iteration},
doi = {10.1080/01630563.2020.1740734},
journal = {Numer. Funct. Anal. Optim.},
fjournal = {Numerical Functional Analysis and Optimization},
month = mar,
number = {10},
pages = {1190--1227},
url = {https://www.tandfonline.com/doi/full/10.1080/01630563.2020.1740734},
volume = {41},
year = {2020},
}
(preprint)(preprint)
S. Hubmer, A. Neubauer, R. Ramlau and H. U. Voss A conjugate-gradient approach to the parameter estimation problem of magnetic resonance advection imaging Inverse Problems in Science and Engineering, 28(8):1154–1165, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubNeuRamVos20,
author = {Hubmer, S. and Neubauer, A. and Ramlau, R. and Voss, H.~U.},
title = {A conjugate-gradient approach to the parameter estimation problem of magnetic resonance advection imaging},
doi = {10.1080/17415977.2019.1708911},
journal = {Inverse Probl. Sci. Eng.},
fjournal = {Inverse Problems in Science and Engineering},
number = {8},
pages = {1154--1165},
volume = {28},
year = {2020},
}
(preprint)
S. Hubmer and R. Ramlau A frame decomposition of the atmospheric tomography operator Inverse Problems, 36(9):094001, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubRam20,
author = {Hubmer, S. and Ramlau, R.},
title = {A frame decomposition of the atmospheric tomography operator},
doi = {10.1088/1361-6420/aba4fe},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {9},
pages = {094001},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/aba4fe/pdf},
volume = {36},
year = {2020},
}
F. Hinterer, S. Hubmer and R. Ramlau A note on the minimization of a Tikhonov functional with ℓ1-penalty Inverse Problems, 36(7):074001, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HinHubRam20,
author = {Hinterer, F. and Hubmer, S. and Ramlau, R.},
title = {A note on the minimization of a Tikhonov functional with $\ell^1$-penalty},
doi = {10.1088/1361-6420/ab89c2},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {7},
pages = {074001},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab89c2/pdf},
volume = {36},
year = {2020},
}
E. M. G. Landl Actuator Command Reconstruction with 3-sided Pyramid Sensors in AO-OCTMaster thesis, Johannes Kepler Universität Linz, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@phdthesis{Lan20,
author = {Landl, E.~M.~G.},
title = {Actuator Command Reconstruction with 3-sided Pyramid Sensors in AO-OCT},
pdf = {https://epub.jku.at/obvulihs/download/pdf/5493055?originalFilename=true},
school = {Johannes Kepler Universität Linz},
type = {Master thesis},
url = {https://epub.jku.at/obvulihs/content/titleinfo/5493055},
year = {2020},
}
F. Faucher and O. Scherzer Adjoint-state method for Hybridizable Discontinuous Galerkin discretization, application to the inverse acoustic wave problem Computer Methods in Applied Mechanics and Engineering, 372:113406, 2020 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FauSch20,
author = {Faucher, F. and Scherzer, O.},
title = {Adjoint-state method for Hybridizable Discontinuous Galerkin discretization, application to the inverse acoustic wave problem},
doi = {10.1016/j.cma.2020.113406},
journal = {Comput. Math. Appl. Mech. Eng.},
fjournal = {Computer Methods in Applied Mechanics and Engineering},
pages = {113406},
pdf = {https://www.sciencedirect.com/science/article/pii/S0045782520305910/pdfft?md5=61cf2f02dc6e28088779423ce89d3369&pid=1-s2.0-S0045782520305910-main.pdf},
url = {https://www.sciencedirect.com/science/article/pii/S0045782520305910?via%3Dihub},
volume = {372},
year = {2020},
}
(preprint)
A. Aspri, E. Beretta, O. Scherzer and M. Muszkieta Asymptotic Expansions for Higher Order Elliptic Equations with an Application to Quantitative Photoacoustic Tomography SIAM Journal on Imaging Sciences, 13(4):1781–1833, 2020 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{AspBerSchMus20,
author = {Aspri, A. and Beretta, E. and Scherzer, O. and Muszkieta, M.},
title = {Asymptotic Expansions for Higher Order Elliptic Equations with an Application to Quantitative Photoacoustic Tomography},
doi = {10.1137/20m1317062},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {4},
pages = {1781--1833},
volume = {13},
year = {2020},
}
(preprint)(preprint)
K. Dholakia, B. W. Drinkwater and M. Ritsch-Marte Comparing acoustic and optical forces for biomedical research Nature Reviews Physics, 2(9):480–491, 2020 ( | Subproject: Imaging of Trapped Particles | PDF )
| Subproject: Imaging of Trapped Particles | PDF )@article{DhoDriRit20,
author = {Dholakia, K. and Drinkwater, B.~W. and Ritsch-Marte, M.},
title = {Comparing acoustic and optical forces for biomedical research},
doi = {10.1038/s42254-020-0215-3},
journal = {Nat. Rev. Phys.},
fjournal = {Nature Reviews Physics},
number = {9},
pages = {480--491},
volume = {2},
year = {2020},
}
(preprint)
A. Aspri, Y. Korolev and O. Scherzer Data driven regularization by projection Inverse Problems, 36(12):125009, December, 2020 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{AspKorSch20,
author = {Aspri, A. and Korolev, Y. and Scherzer, O.},
title = {Data driven regularization by projection},
doi = {10.1088/1361-6420/abb61b},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
month = dec,
number = {12},
pages = {125009},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/abb61b/pdf},
url = {https://iopscience.iop.org/article/10.1088/1361-6420/abb61b},
volume = {36},
year = {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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{SheKraHubDreSch20,
author = {Sherina, E. and Krainz, L. and Hubmer, S. and Drexler, W. and Scherzer, O.},
title = {Displacement field estimation from {OCT} images utilizing speckle information with applications in quantitative elastography},
doi = {10.1088/1361-6420/abaf65},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {12},
pages = {124003},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/abaf65/pdf},
url = {https://iopscience.iop.org/article/10.1088/1361-6420/abaf65},
volume = {36},
year = {2020},
}
F. Faucher, O. Scherzer and H. Barucq Eigenvector Models for Solving the Seismic Inverse Problem for the Helmholtz Equation Geophysical Journal International, 221:394–414, January, 2020 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FauSchBar20,
author = {Faucher, F. and Scherzer, O. and Barucq, H.},
title = {Eigenvector Models for Solving the Seismic Inverse Problem for the Helmholtz Equation},
doi = {10.1093/gji/ggaa009},
issue = {1},
journal = {Geophys. J. Int.},
fjournal = {Geophysical Journal International},
month = jan,
pages = {394--414},
pdf = {https://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggaa009/31766660/ggaa009.pdf},
url = {https://academic.oup.com/gji/article/221/1/394/5698305},
volume = {221},
year = {2020},
}
P. Elbau, M. Ritsch-Marte, O. Scherzer and D. Schmutz Motion Reconstruction for Optical Tomography of Trapped Objects Inverse Problems, 36(4):044004, 2020 ( | Subprojects: Quantitative Coupled Physics Imaging + Imaging of Trapped Particles + Tomography with Uncertainties | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Imaging of Trapped Particles + Tomography with Uncertainties | PDF )@article{ElbRitSchSchm20,
author = {Elbau, P. and Ritsch-Marte, M. and Scherzer, O. and Schmutz, D.},
title = {Motion Reconstruction for Optical Tomography of Trapped Objects},
doi = {10.1088/1361-6420/ab67db},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {4},
pages = {044004},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab67db/pdf},
url = {https://iopscience.iop.org/article/10.1088/1361-6420/ab67db},
volume = {36},
year = {2020},
}
(preprint)
R. Ramlau, Ch. Koutschan and B. Hofmann On the Singular Value Decomposition of n-Fold Integration OperatorsIn Springer Proceedings in Mathematics & Statistics, 237–256. Springer Singapore, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@incollection{RamKouHof20,
author = {Ramlau, R. and Koutschan, Ch. and Hofmann, B.},
title = {On the Singular Value Decomposition of n-Fold Integration Operators},
booktitle = {Springer Proceedings in Mathematics {\&} Statistics},
doi = {10.1007/978-981-15-1592-7_11},
pages = {237--256},
publisher = {Springer Singapore},
year = {2020},
}
(preprint)
L. Weissinger Realization of the Frame Decomposition of the Atmospheric Tomography OperatorMaster thesis, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@phdthesis{Wei21,
author = {Weissinger, L.},
title = {Realization of the Frame Decomposition of the Atmospheric Tomography Operator},
pdf = {https://epub.jku.at/obvulihs/download/pdf/5816809?originalFilename=true},
type = {Master thesis},
url = {https://epub.jku.at/ULI/nav/index/name.asn},
year = {2020},
}
(preprint)
P. Elbau, L. Mindrinos and L. Veselka Reconstructing the Optical Parameters of a Layered Medium with Optical Coherence ElastographyIn L. Beilina, M. Bergounioux, M. Christofol, A. Da Silva and A. Litman, editors, Mathematical and Numerical Approaches for Multi-Wave Inverse Problems, (328)105–126. Springer, 2020 ( | Subproject: Quantitative Coupled Physics Imaging | PDF )
| Subproject: Quantitative Coupled Physics Imaging | PDF )@inproceedings{ElbMinVes20,
author = {Elbau, P. and Mindrinos, L. and Veselka, L.},
title = {Reconstructing the Optical Parameters of a Layered Medium with Optical Coherence Elastography},
booktitle = {Mathematical and Numerical Approaches for Multi-Wave Inverse Problems},
doi = {10.1007/978-3-030-48634-1_8},
editor = {Beilina, L. and Bergounioux, M. and Christofol, M. and Da Silva, A. and Litman, A.},
number = {328},
pages = {105--126},
publisher = {Springer},
series = {Springer Proceedings in Mathematics \& Statistics},
year = {2020},
}
(preprint)(preprint)
R. Ke, R. Wagner, R. Ramlau and R. Chan Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics System SIAM Journal on Imaging Sciences, 13(2):775–806, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{KeWagRamCha20,
author = {Ke, R. and Wagner, R. and Ramlau, R. and Chan, R.},
title = {Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics System},
doi = {10.1137/19m1258426},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {2},
pages = {775--806},
volume = {13},
year = {2020},
}
(preprint)
M. Melching and O. Scherzer Regularization with metric double integrals for vector tomography Journal of Inverse and Ill-Posed Problems, 28(6):857–875, 2020 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{MelSch20,
author = {Melching, M. and Scherzer, O.},
title = {Regularization with metric double integrals for vector tomography},
doi = {10.1515/jiip-2019-0084},
journal = {J. Inverse Ill-Posed Probl.},
fjournal = {Journal of Inverse and Ill-Posed Problems},
number = {6},
pages = {857--875},
pdf = {https://www.degruyter.com/document/doi/10.1515/jiip-2019-0084/pdf},
url = {https://www.degruyter.com/document/doi/10.1515/jiip-2019-0084/html},
volume = {28},
year = {2020},
}
I. Shatokhina, V. Hutterer and R. Ramlau Review on methods for wavefront reconstruction from pyramid wavefront sensor data Journal of Astronomical Telescopes, Instruments, and Systems, 6(1):1, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{ShaHutRam20,
author = {Shatokhina, I. and Hutterer, V. and Ramlau, R.},
title = {Review on methods for wavefront reconstruction from pyramid wavefront sensor data},
doi = {10.1117/1.jatis.6.1.010901},
journal = {J. Astronom. Telesc. Instrum. Syst.},
fjournal = {Journal of Astronomical Telescopes, Instruments, and Systems},
number = {1},
pages = {1},
pdf = {https://www.spiedigitallibrary.org/journalArticle/Download?fullDOI=10.1117%2F1.JATIS.6.1.010901},
volume = {6},
year = {2020},
}
R. Platzer, B. K. Rossboth, M. C. Schneider, E. Sevcsik, F. Baumgart, et. al. Unscrambling fluorophore blinking for comprehensive cluster detection via photoactivated localization microscopy Nature Communications, 11(1):, 2020 ( | Subproject: Ultra-high Resolution Microscopy | PDF )
| Subproject: Ultra-high Resolution Microscopy | PDF )@article{PlaRosSchnSevBau20,
author = {Platzer, R. and Rossboth, B.~K. and Schneider, M.~C. and Sevcsik, E. and Baumgart, F. and Stockinger, H. and Sch{\"u}tz, G.~J. and Huppa, J.~B. and Brameshuber, M.},
title = {Unscrambling fluorophore blinking for comprehensive cluster detection via photoactivated localization microscopy},
doi = {10.1038/s41467-020-18726-9},
journal = {Nat. Commun.},
fjournal = {Nature Communications},
number = {1},
pdf = {https://www.nature.com/articles/s41467-020-18726-9.pdf},
volume = {11},
year = {2020},
}
A. M. Arnold, M. C. Schneider, Ch. Hüsson, R. Sablatnig, M. Brameshuber, et. al. Verifying molecular clusters by 2-color localization microscopy and significance testing Scientific Reports, 10(1):, 2020 ( | Subproject: Ultra-high Resolution Microscopy | PDF )
| Subproject: Ultra-high Resolution Microscopy | PDF )@article{ArnSchnHusSabBra20,
author = {Arnold, A.~M. and Schneider, M.~C. and H{\"u}sson, Ch. and Sablatnig, R. and Brameshuber, M. and Baumgart, F. and Sch{\"u}tz, G.~J.},
title = {Verifying molecular clusters by 2-color localization microscopy and significance testing},
doi = {10.1038/s41598-020-60976-6},
journal = {Sci. Rep.},
fjournal = {Scientific Reports},
number = {1},
pdf = {https://www.nature.com/articles/s41598-020-60976-6.pdf},
volume = {10},
year = {2020},
}
M. F. Shirazi, E. Brunner, M. Laslandes, A. Pollreisz, Ch. K. Hitzenberger and M. Pircher Visualizing human photoreceptor and retinal pigment epithelium cell mosaics in a single volume scan over an extended field of view with adaptive optics optical coherence tomography Biomedical Optics Express, 11(8):4520, 2020 ( | Subproject: Multi-Modal Imaging | PDF )
| Subproject: Multi-Modal Imaging | PDF )@article{ShiBruLasPolHit20,
author = {Shirazi, M.~F. and Brunner, E. and Laslandes, M. and Pollreisz, A. and Hitzenberger, Ch.~K. and Pircher, M.},
title = {Visualizing human photoreceptor and retinal pigment epithelium cell mosaics in a single volume scan over an extended field of view with adaptive optics optical coherence tomography},
doi = {10.1364/boe.393906},
journal = {Biomed. Opt. Express},
fjournal = {Biomedical Optics Express},
number = {8},
pages = {4520},
pdf = {https://www.osapublishing.org/boe/viewmedia.cfm?uri=boe-11-8-4520&seq=0},
volume = {11},
year = {2020},
}
2019
M. Pöttinger, R. Ramlau and G. Auzinger A new temporal control approach for SCAO systems Inverse Problems, 36(1):015002, 2019 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{PotRamAuz19,
author = {P{\"o}ttinger, M. and Ramlau, R. and Auzinger, G.},
title = {A new temporal control approach for {SCAO} systems},
doi = {10.1088/1361-6420/ab44dc},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {1},
pages = {015002},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab44dc/pdf},
volume = {36},
year = {2019},
}
R. Ramlau and L. Reichel Error estimates for Arnoldi–Tikhonov regularization for ill-posed operator equations Inverse Problems, 35(5):055002, 2019 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{RamRei19,
author = {Ramlau, R. and Reichel, L.},
title = {Error estimates for Arnoldi{\textendash}Tikhonov regularization for ill-posed operator equations},
doi = {10.1088/1361-6420/ab0663},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {5},
pages = {055002},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab0663/pdf},
volume = {35},
year = {2019},
}
T. Váradi, M. Schneider, E. Sevcsik, D. Kiesenhofer, F. Baumgart, et. al. Homo- and Heteroassociations Drive Activation of ErbB3 Biophysical Journal, 117(10):1935–1947, 2019 ( | Subproject: Ultra-high Resolution Microscopy | PDF )
| Subproject: Ultra-high Resolution Microscopy | PDF )@article{VarSchnSevKieBau19,
author = {V{\'a}radi, T. and Schneider, M. and Sevcsik, E. and Kiesenhofer, D. and Baumgart, F. and Batta, G. and Kov{\'a}cs, T. and Platzer, R. and Huppa, J.~B. and Sz{\"o}ll{\H{o}}si, J. and Sch{\"u}tz, G.~J. and Brameshuber, M. and Nagy, P.},
title = {Homo- and Heteroassociations Drive Activation of~{ErbB}3},
doi = {10.1016/j.bpj.2019.10.001},
journal = {Biophys. J.},
fjournal = {Biophysical Journal},
number = {10},
pages = {1935--1947},
pdf = {https://www.cell.com/biophysj/fulltext/S0006-3495(19)30829-X#},
volume = {117},
year = {2019},
}
F. Baumgart, M. Schneider and G. J. Schütz How T Cells Do the “Search for the Needle in the Haystack” Frontiers in Physics, 7:, 2019 ( | Subproject: Ultra-high Resolution Microscopy | PDF )
| Subproject: Ultra-high Resolution Microscopy | PDF )@article{BauSchnSchu19,
author = {Baumgart, F. and Schneider, M. and Sch{\"u}tz, G.~J.},
title = {How T Cells Do the {\textquotedblleft}Search for the Needle in the Haystack{\textquotedblright}},
doi = {10.3389/fphy.2019.00011},
journal = {Front. Phys.},
fjournal = {Frontiers in Physics},
pdf = {https://www.frontiersin.org/articles/10.3389/fphy.2019.00011/pdf},
volume = {7},
year = {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 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubKnuLiShe19,
author = {Hubmer, S. and Knudsen, K. and Li, C. and Sherina, E.},
title = {Limited-Angle Acousto-Electrical Tomography},
doi = {10.1080/17415977.2018.1512983},
journal = {Inverse Probl. Sci. Eng.},
fjournal = {Inverse Problems in Science and Engineering},
number = {9},
pages = {1298--1317},
pdf = {https://www.tandfonline.com/doi/pdf/10.1080/17415977.2018.1512983?needAccess=true},
url = {https://www.tandfonline.com/doi/full/10.1080/17415977.2018.1512983},
volume = {27},
year = {2019},
}
S. Moser, M. Ritsch-Marte and G. Thalhammer Model-based compensation of pixel crosstalk in liquid crystal spatial light modulators Optics Express, 27(18):25046–25063, 2019 ( | Subproject: Imaging of Trapped Particles | PDF )
| Subproject: Imaging of Trapped Particles | PDF )@article{MosRitTha19,
author = {Moser, S. and Ritsch-Marte, M. and Thalhammer, G.},
title = {Model-based compensation of pixel crosstalk in liquid crystal spatial light modulators},
doi = {10.1364/oe.27.025046},
journal = {Opt. Express},
fjournal = {Optics Express},
number = {18},
pages = {25046--25063},
pdf = {https://www.osapublishing.org/oe/viewmedia.cfm?uri=oe-27-18-25046&seq=0},
volume = {27},
year = {2019},
}
V. Hutterer, P. Janin-Potiron, I. Shatokhina, O. Fauvarque, A. Obereder, et. al. Model-based wavefront reconstruction for the pyramid sensor tested on the LOOPS benchIn 6th International Conference on Adaptive Optics for Extremely Large Telescopes, AO4ELT 2019, 2019 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@inproceedings{HutShaFauObeRaf19,
author = {Hutterer, V. and Janin-Potiron, P. and Shatokhina, I. and Fauvarque, O. and Obereder, A. and Raffetseder, S. and Chambouleyron, V. and Correia, C. and Fusco, T. and Neichel, B. and El-Hadi, K. and Bond, C.},
title = {Model-based wavefront reconstruction for the pyramid sensor tested on the LOOPS bench},
booktitle = {6th International Conference on Adaptive Optics for Extremely Large Telescopes, AO4ELT 2019},
pdf = {https://hal.archives-ouvertes.fr/hal-02639502/file/DOTA20094.1590658517.pdf},
url = {https://hal.archives-ouvertes.fr/hal-02639502},
year = {2019},
}
A. Beigl, O. Scherzer, J. Sogn and W. Zulehner Preconditioning Inverse Problems for Hyperbolic Equations with Applications to Photoacoustic Tomography Inverse Problems, 36(1):014002, December, 2019 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{BeiSchSogZul19,
author = {Beigl, A. and Scherzer, O. and Sogn, J. and Zulehner, W.},
title = {Preconditioning Inverse Problems for Hyperbolic Equations with Applications to Photoacoustic Tomography},
doi = {10.1088/1361-6420/ab3d08},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
month = dec,
number = {1},
pages = {014002},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab3d08/pdf},
url = {https://iopscience.iop.org/article/10.1088/1361-6420/ab3d08},
volume = {36},
year = {2019},
}
V. Hutterer, R. Ramlau and I. Shatokhina Real-time adaptive optics with pyramid wavefront sensors: part I. A theoretical analysis of the pyramid sensor model Inverse Problems, 35(4):045007, 2019 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HutRamSha19b,
author = {Hutterer, V. and Ramlau, R. and Shatokhina, I.},
title = {Real-time adaptive optics with pyramid wavefront sensors: part I. A theoretical analysis of the pyramid sensor model},
doi = {10.1088/1361-6420/ab0656},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {4},
pages = {045007},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab0656/pdf},
volume = {35},
year = {2019},
}
V. Hutterer, R. Ramlau and I. Shatokhina Real-time adaptive optics with pyramid wavefront sensors: part II. Accurate wavefront reconstruction using iterative methods Inverse Problems, 35(4):045008, 2019 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HutRamSha19,
author = {Hutterer, V. and Ramlau, R. and Shatokhina, I.},
title = {Real-time adaptive optics with pyramid wavefront sensors: part {II}. Accurate wavefront reconstruction using iterative methods},
doi = {10.1088/1361-6420/ab0900},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {4},
pages = {045008},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab0900/pdf},
volume = {35},
year = {2019},
}
R. Ciak, M. Melching and O. Scherzer Regularization with Metric Double Integrals of Functions with Values in a Set of Vectors Journal of Mathematical Imaging and Vision, 2019 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{CiaMelSch19,
author = {Ciak, R. and Melching, M. and Scherzer, O.},
title = {Regularization with Metric Double Integrals of Functions with Values in a Set of Vectors},
doi = {10.1007/s10851-018-00869-6},
journal = {J. Math. Imaging Vision},
fjournal = {Journal of Mathematical Imaging and Vision},
pdf = {https://link.springer.com/content/pdf/10.1007%2Fs10851-018-00869-6.pdf},
url = {https://link.springer.com/article/10.1007/s10851-018-00869-6},
year = {2019},
}
O. Fauvarque, V. Hutterer, P. Janin-Potiron, J. Duboisset, C. Correia, 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 Telescopes AO4ELT6, 2019 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@inproceedings{FauHutJanDubCor19,
author = {Fauvarque, O. and Hutterer, V. and Janin-Potiron, P. and Duboisset, J. and Correia, C. and Neichel, B. and Sauvage, J.-F, and Fusco, T. and Shatokhina, I. and Ramlau, R. Chambouleyron, V. and Brûlé, Y.},
title = {The ıQuad sensor: a new Fourier-based wave front sensor derived from the 4 quadrants coronagraph},
booktitle = {6th International Conference on Adaptive Optics for Extremely Large Telescopes AO4ELT6},
pdf = {http://ao4elt6.copl.ulaval.ca/proceedings/401-Pdyj-81.pdf},
url = {http://ao4elt6.copl.ulaval.ca/proceedings/401-Pdyj-81.pdf},
year = {2019},
}
2018
C. Kirisits and O. Scherzer A Range Condition for Polyconvex Variational Regularization Numerical Functional Analysis and Optimization, 39(10):1064-1076, 2018 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{KirSch18,
author = {Kirisits, C. and Scherzer, O.},
title = {A Range Condition for Polyconvex Variational Regularization},
doi = {10.1080/01630563.2018.1467447},
journal = {Numer. Funct. Anal. Optim.},
fjournal = {Numerical Functional Analysis and Optimization},
number = {10},
pages = {1064-1076},
pdf = {https://www.tandfonline.com/doi/pdf/10.1080/01630563.2018.1467447},
url = {https://www.tandfonline.com/doi/full/10.1080/01630563.2018.1467447},
volume = {39},
year = {2018},
}
(preprint)
A. Buccini, M. Donatelli and R. Ramlau A Semiblind Regularization Algorithm for Inverse Problems with Application to Image Deblurring SIAM Journal on Scientific Computing, 40(1):A452–A483, 2018 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{BucDonRam18,
author = {Buccini, A. and Donatelli, M. and Ramlau, R.},
title = {A Semiblind Regularization Algorithm for Inverse Problems with Application to Image Deblurring},
doi = {10.1137/16m1101830},
journal = {{SIAM} J. Sci. Comput.},
fjournal = {{SIAM} Journal on Scientific Computing},
number = {1},
pages = {A452--A483},
volume = {40},
year = {2018},
}
(preprint)
S. Hubmer and R. Ramlau Nesterov's accelerated gradient method for nonlinear ill-posed problems with a locally convex residual functional Inverse Problems, 34(9):095003, 2018 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubRam18,
author = {Hubmer, S. and Ramlau, R.},
title = {Nesterov's accelerated gradient method for nonlinear ill-posed problems with a locally convex residual functional},
doi = {10.1088/1361-6420/aacebe},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {9},
pages = {095003},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/aacebe/pdf},
publisher = {{IOP} Publishing},
volume = {34},
year = {2018},
}
(preprint)
V. Hutterer and R. Ramlau Nonlinear wavefront reconstruction methods for pyramid sensors using Landweber and Landweber-Kaczmarz iterations Applied Optics, 57(30):8790–8804, 2018 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HutRam18,
author = {Hutterer, V. and Ramlau, R.},
title = {Nonlinear wavefront reconstruction methods for pyramid sensors using Landweber and Landweber-Kaczmarz iterations},
doi = {10.1364/ao.57.008790},
journal = {Appl. Opt.},
fjournal = {Applied Optics},
number = {30},
pages = {8790--8804},
volume = {57},
year = {2018},
}
(preprint)(preprint)
R. Wagner, Ch. Hofer and R. Ramlau Point spread function reconstruction for single-conjugate adaptive optics on extremely large telescopes Journal of Astronomical Telescopes, Instruments, and Systems, 4(4):1, 2018 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{WagHofRam18,
author = {Wagner, R. and Hofer, Ch. and Ramlau, R.},
title = {Point spread function reconstruction for single-conjugate adaptive optics on extremely large telescopes},
doi = {10.1117/1.jatis.4.4.049003},
journal = {J. Astronom. Telesc. Instrum. Syst.},
fjournal = {Journal of Astronomical Telescopes, Instruments, and Systems},
number = {4},
pages = {1},
volume = {4},
year = {2018},
}
(preprint)(preprint)
A. Beigl, P. Elbau, K. Sadiq and O. Scherzer Quantitative Photoacoustic Imaging in the Acoustic Regime using SPIM Inverse Problems, 35(4):, April, 2018 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties | PDF )@article{BeiElbSadSch18,
author = {Beigl, A. and Elbau, P. and Sadiq, K. and Scherzer, O.},
title = {Quantitative Photoacoustic Imaging in the Acoustic Regime using SPIM},
doi = {10.1088/1361-6420/aab584},
eid = {054003},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
month = apr,
number = {4},
volume = {35},
year = {2018},
}
(preprint)
L. Barl, P. Baudoz, R. Bender, P. Bizenberger, T. Buey, et. al. The MICADO first light imager for the ELT: overview, operation, simulationIn Hideki Takami, Christopher J. Evans and Luc Simard, editors, Ground-based and Airborne Instrumentation for Astronomy VII, 64. SPIE, July, 2018 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@inproceedings{BarBauBenBizBue18,
author = {Barl, L. and Baudoz, P. and Bender, R. and Bizenberger, P. and Buey, T. and Chemla, F. and Cohen, M. and Czoske, O. and Disseau, K. and Dreizler, S. and Fabricius, M. and Geis, N. and Gemperlein, H. and Genzel, R. and Gl{\"u}ck, M. and Hartl, M. and H{\"a}user, M. and Hofferbert, R. and Hopp, U. and Hubert, Z. and Huby, E. and Huet, J.-M. and Hutterer, V. and Ives, D. and Janssen, A. and Jellema, W. and Kausch, W. and Kerber, F. and Kravcar, H. and Leschinski, K. and Mandla, C. and Manhart, M. and Mohr, L. and Neumann, U. and Neumayer, N. and Richter, A. and Richter, J. and Rodeghiero, G. and Rosensteiner, M. and Schlichter, J. and Schubert, J. and Thomas, J. and Wegner, M. and Zeilinger, W. and Ziegleder, J. and Ziegler, B. and Zins, G. and Davies, R. and Alves, J. and Cl{\'e}net, Y. and Lang-Bardl, F. and Nicklas, H. and Pott, J.-U. and Ragazzoni, R. and Tolstoy, E. and Amico, P. and Anwand-Heerwart, H. and Barboza, S. and Bezawada, N. and Boland, W. and Bonifacio, P. and Borgo, B. and Chapron, F. and D{\'e}o, V. and Dupuis, O. and Falomo, R. and Fedou, P. and F{\"o}rster Schreiber, N. and Garrel, V. and Gendron, E. and Gillessen, S. and Grupp, F. and Hess, H.-J. and H{\"o}rmann, V. and Le Ruyet, B. and Massari, D. and Mei, S. and Merlin, F. and Monna, A. and Muench, N. and M{\"u}ller, F. and Musters, G. and Navarro, R. and Niebsch, J. and Plattner, M. and Przybilla, N. and Rabien, S. and Ramlau, R. and Ramos, J. and Ramsay, S. and Rhode, P. and Rix, H.-W. and Rohloff, R.-R. and Rousset, G. and Sevin, A. and Stuik, R. and Sturm, E. and Tromp, N. and Verdoes-Kleijn, G. and Vidal, F. and Wagner, R.},
title = {The {MICADO} first light imager for the {ELT}: overview, operation, simulation},
booktitle = {Ground-based and Airborne Instrumentation for Astronomy {VII}},
doi = {10.1117/12.2311483},
editor = {Hideki Takami and Christopher J. Evans and Luc Simard},
month = jul,
pages = {64},
pdf = {https://www.spiedigitallibrary.org/proceedings/Download?fullDOI=10.1117%2F12.2311483},
publisher = {{SPIE}},
year = {2018},
}
V. Hutterer, I. Shatokhina, A. Obereder and R. Ramlau Advanced wavefront reconstruction methods for segmented Extremely Large Telescope pupils using pyramid sensors Journal of Astronomical Telescopes, Instruments, and Systems, 4(4):1 – 18, 2018 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HutShaObeRam18,
author = {Hutterer, V. and Shatokhina, I. and Obereder, A. and Ramlau, R.},
title = {{Advanced wavefront reconstruction methods for segmented Extremely Large Telescope pupils using pyramid sensors}},
doi = {10.1117/1.jatis.4.4.049005},
journal = {J. Astronom. Telesc. Instrum. Syst.},
fjournal = {Journal of Astronomical Telescopes, Instruments, and Systems},
number = {4},
pages = {1 -- 18},
pdf = {https://www.spiedigitallibrary.org/journalArticle/Download?fullDOI=10.1117%2F1.JATIS.4.4.049005},
volume = {4},
year = {2018},
}
Multi-Modal Imaging (F6803)
E. Brunner, L. Kunze, V. Laidlaw, D. Jodlbauer, W. Drexler, et. al. Improvements on speed, stability and field of view in adaptive optics OCT for anterior retinal imaging using a pyramid wavefront sensor Biomedical Optics Express, 15(10):6098, 2024 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy | PDF )@article{BruKunLaiJodDre24,
author = {Brunner, E. and Kunze, L. and Laidlaw, V. and Jodlbauer, D. and Drexler, W. and Ramlau, R. and Pollreisz, A. and Pircher, M.},
title = {Improvements on speed, stability and field of view in adaptive optics OCT for anterior retinal imaging using a pyramid wavefront sensor},
doi = {10.1364/boe.533451},
journal = {Biomed. Opt. Express},
fjournal = {Biomedical Optics Express},
number = {10},
pages = {6098},
pdf = {https://opg.optica.org/directpdfaccess/cc51c6fd-eff2-471e-8a06498acd127607_560947/boe-15-10-6098.pdf},
volume = {15},
year = {2024},
}
L. Veselka, P. Elbau, L. Mindrinos, L. Krainz and W. Drexler Quantitative parameter reconstruction from optical coherence tomographic data Inverse Problems, 40(2):025001, 2024 ( | Subprojects: Multi-Modal Imaging + Quantitative Coupled Physics Imaging | PDF )
| Subprojects: Multi-Modal Imaging + Quantitative Coupled Physics Imaging | PDF )@article{VesElbMinKraDre24,
author = {Veselka, L. and Elbau, P. and Mindrinos, L. and Krainz, L. and Drexler, W.},
title = {Quantitative parameter reconstruction from optical coherence tomographic data},
doi = {10.1088/1361-6420/ad0fab},
eid = {025001},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {2},
pages = {025001},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ad0fab/pdf},
volume = {40},
year = {2024},
}
M. Kvaale Lovmo, S. Deng, S. Moser, R. Leitgeb, W. Drexler and M. Ritsch-Marte Ultrasound-induced reorientation for multi-angle optical coherence tomography Nature Communications, 15(1):, 2024 ( | Subprojects: Multi-Modal Imaging + Imaging of Trapped Particles | PDF )
| Subprojects: Multi-Modal Imaging + Imaging of Trapped Particles | PDF )@article{KvaDenMosLeiDre24,
author = {Kv{\aa}le L{\o}vmo, M. and Deng, S. and Moser, S. and Leitgeb, R. and Drexler, W. and Ritsch-Marte, M.},
title = {Ultrasound-induced reorientation for multi-angle optical coherence tomography},
doi = {10.1038/s41467-024-46506-2},
journal = {Nat. Commun.},
fjournal = {Nature Communications},
number = {1},
pdf = {https://www.nature.com/articles/s41467-024-46506-2.pdf},
volume = {15},
year = {2024},
}
(preprint)
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{HubSheRamPirLei23,
author = {Hubmer, S. and Sherina, E. and Ramlau, R. and Pircher, M. and Leitgeb, R.},
title = {Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach},
doi = {10.1137/22m1543240},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {4},
pages = {1857-1885},
volume = {16},
year = {2023},
}
(preprint)
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{KraSheHubLiuDre22,
author = {Krainz, L. and Sherina, E. and Hubmer, S. and Liu, M. and Drexler, W. and Scherzer, O.},
title = {Quantitative Optical Coherence Elastography: A Novel Intensity-Based Inversion Method Versus Strain-Based Reconstructions},
doi = {10.1109/jstqe.2022.3225108},
journal = {{IEEE} J. Sel. Topics Quantum Electron.},
fjournal = {{IEEE} Journal of Selected Topics in Quantum Electronics},
month = jul,
number = {4: Biophotonics},
pages = {1--16},
pdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9964203},
volume = {29},
year = {2022},
}
L. Veselka, L. Krainz, L. Mindrinos, W. Drexler and P. Elbau A Quantitative Model for Optical Coherence Tomography Sensors, 21(20):6864, 2021 ( | Subprojects: Multi-Modal Imaging + Quantitative Coupled Physics Imaging | PDF )
| Subprojects: Multi-Modal Imaging + Quantitative Coupled Physics Imaging | PDF )@article{VesKraMinDreElb21,
author = {Veselka, L. and Krainz, L. and Mindrinos, L. and Drexler, W. and Elbau, P. },
title = {A Quantitative Model for Optical Coherence Tomography},
doi = {10.3390/s21206864},
journal = {Sens.},
fjournal = {Sensors},
number = {20},
pages = {6864},
url = {https://www.mdpi.com/1424-8220/21/20/6864},
volume = {21},
year = {2021},
}
(preprint)
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@inproceedings{SheKraHubDreSch21,
author = {Sherina, E. and Krainz, L. and Hubmer, S. and Drexler, W. and Scherzer, O.},
title = {Challenges for Optical Flow Estimates in Elastography},
booktitle = {Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-75549-2_11},
number = {1},
pages = {128--139},
year = {2021},
}
(preprint)
E. Brunner, J. Shatokhina, M. F. Shirazi, W. Drexler, R. Leitgeb, et. al. Retinal adaptive optics imaging with a pyramid wavefront sensor Biomedical Optics Express, 12(10):5969, 2021 ( | Subproject: Multi-Modal Imaging | PDF )
| Subproject: Multi-Modal Imaging | PDF )@article{BruShaShiDreLei21b,
author = {Brunner, E. and Shatokhina, J. and Shirazi, M.~F. and Drexler, W. and Leitgeb, R. and Pollreisz, A. and Hitzenberger, Ch.~K. and Ramlau, R. and Pircher, M.},
title = {Retinal adaptive optics imaging with a pyramid wavefront sensor},
doi = {10.1364/boe.438915},
journal = {Biomed. Opt. Express},
fjournal = {Biomedical Optics Express},
number = {10},
pages = {5969},
pdf = {https://www.osapublishing.org/DirectPDFAccess/E4978F4B-01E1-4A27-B56B6512338D132E_458428/boe-12-10-5969.pdf},
volume = {12},
year = {2021},
}
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{SheKraHubDreSch20,
author = {Sherina, E. and Krainz, L. and Hubmer, S. and Drexler, W. and Scherzer, O.},
title = {Displacement field estimation from {OCT} images utilizing speckle information with applications in quantitative elastography},
doi = {10.1088/1361-6420/abaf65},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {12},
pages = {124003},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/abaf65/pdf},
url = {https://iopscience.iop.org/article/10.1088/1361-6420/abaf65},
volume = {36},
year = {2020},
}
M. F. Shirazi, E. Brunner, M. Laslandes, A. Pollreisz, Ch. K. Hitzenberger and M. Pircher Visualizing human photoreceptor and retinal pigment epithelium cell mosaics in a single volume scan over an extended field of view with adaptive optics optical coherence tomography Biomedical Optics Express, 11(8):4520, 2020 ( | Subproject: Multi-Modal Imaging | PDF )
| Subproject: Multi-Modal Imaging | PDF )@article{ShiBruLasPolHit20,
author = {Shirazi, M.~F. and Brunner, E. and Laslandes, M. and Pollreisz, A. and Hitzenberger, Ch.~K. and Pircher, M.},
title = {Visualizing human photoreceptor and retinal pigment epithelium cell mosaics in a single volume scan over an extended field of view with adaptive optics optical coherence tomography},
doi = {10.1364/boe.393906},
journal = {Biomed. Opt. Express},
fjournal = {Biomedical Optics Express},
number = {8},
pages = {4520},
pdf = {https://www.osapublishing.org/boe/viewmedia.cfm?uri=boe-11-8-4520&seq=0},
volume = {11},
year = {2020},
}
Quantitative Coupled Physics Imaging (F6804)
L. Veselka, P. Elbau, L. Mindrinos, L. Krainz and W. Drexler Quantitative parameter reconstruction from optical coherence tomographic data Inverse Problems, 40(2):025001, 2024 ( | Subprojects: Multi-Modal Imaging + Quantitative Coupled Physics Imaging | PDF )
| Subprojects: Multi-Modal Imaging + Quantitative Coupled Physics Imaging | PDF )@article{VesElbMinKraDre24,
author = {Veselka, L. and Elbau, P. and Mindrinos, L. and Krainz, L. and Drexler, W.},
title = {Quantitative parameter reconstruction from optical coherence tomographic data},
doi = {10.1088/1361-6420/ad0fab},
eid = {025001},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {2},
pages = {025001},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ad0fab/pdf},
volume = {40},
year = {2024},
}
P. Elbau, L. Mindrinos and L. Veselka Development of mathematical models for quantitative OCT: A review AIMS Mathematics, 8(2):2508-2531, 2023 ( | Subproject: Quantitative Coupled Physics Imaging | PDF )
| Subproject: Quantitative Coupled Physics Imaging | PDF )@article{ElbMinVes23,
author = {Elbau, P. and Mindrinos, L. and Veselka, L.},
title = {Development of mathematical models for quantitative OCT: A review},
doi = {10.3934/math.2023130},
issuetitle = {Mathematical modeling and optimal control of complex systems, complex networks and multi-scale models},
journal = {AIMS Mathematics},
fjournal = {AIMS Mathematics},
number = {2},
pages = {2508-2531},
pdf = {https://www.aimspress.com/article/doi/10.3934/math.2023130},
volume = {8},
year = {2023},
}
(preprint)
M. Quellmalz, P. Elbau, O. Scherzer and G. Steidl Motion Detection in Diffraction Tomography by Common Circle Methods Mathematics of Computation, 2023 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )@article{QueElbSchSte23,
author = {Quellmalz, M. and Elbau, P. and Scherzer, O. and Steidl, G.},
title = {Motion Detection in Diffraction Tomography by Common Circle Methods},
doi = {10.1090/mcom/3869},
journal = {Math. Comp.},
fjournal = {Mathematics of Computation},
year = {2023},
}
(preprint)
D. Schmutz, P. Elbau, M. Quellmalz, M. Ritsch-Marte, O. Scherzer and Steidl G. Rigid Motion Reconstruction in Parallel Beam and Diffraction TomographyIn Oberwolfach Reports: Tomographic Inverse Problems - Mathematical Challenges and Novel Applications, (21)41–43. Mathematisches Forschungsinstitut Oberwolfach, 2023 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )@inproceedings{SchmElbQueRitSch23,
author = {Schmutz, D. and Elbau, P. and Quellmalz, M. and Ritsch-Marte, M. and Scherzer, O. and Steidl G.},
title = {Rigid Motion Reconstruction in Parallel Beam and Diffraction Tomography},
booktitle = {Oberwolfach Reports: Tomographic Inverse Problems - Mathematical Challenges and Novel Applications},
number = {21},
pages = {41--43},
pdf = {https://publications.mfo.de/bitstream/handle/mfo/4061/OWR_2023_21.pdf},
publisher = {Mathematisches Forschungsinstitut Oberwolfach},
url = {https://publications.mfo.de/handle/mfo/4061},
year = {2023},
}
R. Boţ, G. Dong, P. Elbau and O. Scherzer Convergence Rates of First and Higher Order Dynamics for Solving Linear Ill-posed Problems Foundations of Computational Mathematics, 22:1567–1629, 2022 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties | PDF )@article{BotDonElbSch22,
author = {Boţ, R. and Dong, G. and Elbau, P. and Scherzer, O.},
title = {Convergence Rates of First and Higher Order Dynamics for Solving Linear Ill-posed Problems},
doi = {10.1007/s10208-021-09536-6},
journal = {Found. Comput. Math.},
fjournal = {Foundations of Computational Mathematics},
pages = {1567--1629},
pdf = {https://link.springer.com/content/pdf/10.1007/s10208-021-09536-6.pdf},
volume = {22},
year = {2022},
}
L. Veselka, L. Krainz, L. Mindrinos, W. Drexler and P. Elbau A Quantitative Model for Optical Coherence Tomography Sensors, 21(20):6864, 2021 ( | Subprojects: Multi-Modal Imaging + Quantitative Coupled Physics Imaging | PDF )
| Subprojects: Multi-Modal Imaging + Quantitative Coupled Physics Imaging | PDF )@article{VesKraMinDreElb21,
author = {Veselka, L. and Krainz, L. and Mindrinos, L. and Drexler, W. and Elbau, P. },
title = {A Quantitative Model for Optical Coherence Tomography},
doi = {10.3390/s21206864},
journal = {Sens.},
fjournal = {Sensors},
number = {20},
pages = {6864},
url = {https://www.mdpi.com/1424-8220/21/20/6864},
volume = {21},
year = {2021},
}
(preprint)
P. Elbau, L. Mindrinos and L. Veselka Quantitative OCT reconstructions for dispersive mediaIn B. Kaltenbacher, T. Schuster and A. Wald, editors, Time-dependent Problems in Imaging and Parameter Identification, 229–266. Springer, Cham, 2021 ( | Subproject: Quantitative Coupled Physics Imaging | PDF )
| Subproject: Quantitative Coupled Physics Imaging | PDF )@incollection{ElbMinVes21,
author = {Elbau, P. and Mindrinos, L. and Veselka, L.},
title = {Quantitative OCT reconstructions for dispersive media},
booktitle = {Time-dependent Problems in Imaging and Parameter Identification},
doi = {https://doi.org/10.1007/978-3-030-57784-1_8},
editor = {Kaltenbacher, B. and Schuster, T. and Wald, A.},
pages = {229--266},
publisher = {Springer, Cham},
year = {2021},
}
(preprint)
P. Elbau, M. Ritsch-Marte, O. Scherzer and D. Schmutz Motion Reconstruction for Optical Tomography of Trapped Objects Inverse Problems, 36(4):044004, 2020 ( | Subprojects: Quantitative Coupled Physics Imaging + Imaging of Trapped Particles + Tomography with Uncertainties | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Imaging of Trapped Particles + Tomography with Uncertainties | PDF )@article{ElbRitSchSchm20,
author = {Elbau, P. and Ritsch-Marte, M. and Scherzer, O. and Schmutz, D.},
title = {Motion Reconstruction for Optical Tomography of Trapped Objects},
doi = {10.1088/1361-6420/ab67db},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {4},
pages = {044004},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab67db/pdf},
url = {https://iopscience.iop.org/article/10.1088/1361-6420/ab67db},
volume = {36},
year = {2020},
}
(preprint)
P. Elbau, L. Mindrinos and L. Veselka Reconstructing the Optical Parameters of a Layered Medium with Optical Coherence ElastographyIn L. Beilina, M. Bergounioux, M. Christofol, A. Da Silva and A. Litman, editors, Mathematical and Numerical Approaches for Multi-Wave Inverse Problems, (328)105–126. Springer, 2020 ( | Subproject: Quantitative Coupled Physics Imaging | PDF )
| Subproject: Quantitative Coupled Physics Imaging | PDF )@inproceedings{ElbMinVes20,
author = {Elbau, P. and Mindrinos, L. and Veselka, L.},
title = {Reconstructing the Optical Parameters of a Layered Medium with Optical Coherence Elastography},
booktitle = {Mathematical and Numerical Approaches for Multi-Wave Inverse Problems},
doi = {10.1007/978-3-030-48634-1_8},
editor = {Beilina, L. and Bergounioux, M. and Christofol, M. and Da Silva, A. and Litman, A.},
number = {328},
pages = {105--126},
publisher = {Springer},
series = {Springer Proceedings in Mathematics \& Statistics},
year = {2020},
}
(preprint)(preprint)
A. Beigl, P. Elbau, K. Sadiq and O. Scherzer Quantitative Photoacoustic Imaging in the Acoustic Regime using SPIM Inverse Problems, 35(4):, April, 2018 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties | PDF )@article{BeiElbSadSch18,
author = {Beigl, A. and Elbau, P. and Sadiq, K. and Scherzer, O.},
title = {Quantitative Photoacoustic Imaging in the Acoustic Regime using SPIM},
doi = {10.1088/1361-6420/aab584},
eid = {054003},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
month = apr,
number = {4},
volume = {35},
year = {2018},
}
(preprint)Tomography in Astronomy (F6805)
W. Rannetbauer, C. Hambrock, S. Hubmer and R. Ramlau Enhancing Predictive Quality in HVOF Coating Technology: A Comparative Analysis of Machine Learning Techniques Procedia Computer Science, 232:1377–1387, 2024 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{RanHamHubRam24,
author = {Rannetbauer, W. and Hambrock, C. and Hubmer, S. and Ramlau, R.},
title = {Enhancing Predictive Quality in HVOF Coating Technology: A Comparative Analysis of Machine Learning Techniques},
doi = {10.1016/j.procs.2024.01.136},
journal = {Procedia Comput. Sci.},
fjournal = {Procedia Computer Science},
pages = {1377--1387},
pdf = {https://www.sciencedirect.com/science/article/pii/S1877050924001364},
volume = {232},
year = {2024},
}
E. Brunner, L. Kunze, V. Laidlaw, D. Jodlbauer, W. Drexler, et. al. Improvements on speed, stability and field of view in adaptive optics OCT for anterior retinal imaging using a pyramid wavefront sensor Biomedical Optics Express, 15(10):6098, 2024 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy | PDF )@article{BruKunLaiJodDre24,
author = {Brunner, E. and Kunze, L. and Laidlaw, V. and Jodlbauer, D. and Drexler, W. and Ramlau, R. and Pollreisz, A. and Pircher, M.},
title = {Improvements on speed, stability and field of view in adaptive optics OCT for anterior retinal imaging using a pyramid wavefront sensor},
doi = {10.1364/boe.533451},
journal = {Biomed. Opt. Express},
fjournal = {Biomedical Optics Express},
number = {10},
pages = {6098},
pdf = {https://opg.optica.org/directpdfaccess/cc51c6fd-eff2-471e-8a06498acd127607_560947/boe-15-10-6098.pdf},
volume = {15},
year = {2024},
}
M. C. Schneider, F. Hinterer, A. Jesacher and G. J. Schütz Interactive simulation and visualization of point spread functions in single molecule imaging Optics Communications, 560:130463, 2024 ( | Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )@article{SchnHinJesSchu24,
author = {Schneider, M.~C. and Hinterer, F. and Jesacher, A. and Sch{\"u}tz, G.~J.},
title = {Interactive simulation and visualization of point spread functions in single molecule imaging},
doi = {10.1016/j.optcom.2024.130463},
journal = {Opt. Commun.},
fjournal = {Optics Communications},
pages = {130463},
pdf = {https://www.sciencedirect.com/science/article/pii/S0030401824002001},
volume = {560},
year = {2024},
}
W. Rannetbauer, S. Hubmer, C. Hambrock and R. Ramlau Predictive modelling of critical variables for improving HVOF coating using gamma regression models Journal of Mathematics in Industry, 14(1):, 2024 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{RanHubHamRam24,
author = {Rannetbauer, W. and Hubmer, S. and Hambrock, C. and Ramlau, R.},
title = {Predictive modelling of critical variables for improving HVOF coating using gamma regression models},
doi = {10.1186/s13362-024-00146-9},
journal = {J. Math. Ind.},
fjournal = {Journal of Mathematics in Industry},
number = {1},
pdf = {https://mathematicsinindustry.springeropen.com/counter/pdf/10.1186/s13362-024-00146-9.pdf},
volume = {14},
year = {2024},
}
(preprint)
X. Li, S. Hubmer, S. Lu and R. Ramlau Regularization of Linear Inverse Problems with Irregular Noise Using Embedding Operators SIAM Journal on Imaging Sciences, 17(4):2053–2075, 2024 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{LiHubLuRam24,
author = {Li, X. and Hubmer, S. and Lu, S. and Ramlau, R.},
title = {Regularization of Linear Inverse Problems with Irregular Noise Using Embedding Operators},
doi = {10.1137/24m1636307},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {4},
pages = {2053--2075},
volume = {17},
year = {2024},
}
(preprint)(preprint)
M. Quellmalz, L. Weissinger, S. Hubmer and P. D. Erchinger A Frame Decomposition of the Funk-Radon TransformIn Lecture Notes in Computer Science, 42–54, 2023 ( | Subprojects: Tomography in Astronomy + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Tomography in Astronomy + Motion Detection in Tomography and Microscopy | PDF )@incollection{QueWeiHubErc23,
author = {Quellmalz, M. and Weissinger, L. and Hubmer, S. and Erchinger, P.~D.},
title = {A Frame Decomposition of the Funk-Radon Transform},
booktitle = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-031-31975-4_4},
pages = {42--54},
year = {2023},
}
(preprint)(preprint)
F. Hinterer, S. Hubmer, P. Jethwa, K. M. Soodhalter, G. van de Ven and R. Ramlau A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology SIAM Journal on Imaging Sciences, 16(1):192–222, 2023 ( | Subprojects: Tomography in Astronomy + Advancing Extragalactic Archeology through Novel Inversion Techniques | PDF )
| Subprojects: Tomography in Astronomy + Advancing Extragalactic Archeology through Novel Inversion Techniques | PDF )@article{HinHubJetSooVen23,
author = {Hinterer, F. and Hubmer, S. and Jethwa, P. and Soodhalter, K.~M. and van de Ven, G. and Ramlau, R.},
title = {A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology},
doi = {10.1137/22m1503002},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {1},
pages = {192--222},
volume = {16},
year = {2023},
}
(preprint)
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 ( | Subprojects: Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{HubSheRam23,
author = {Hubmer, S. and Sherina, E. and Ramlau, R.},
title = {Characterizations of adjoint Sobolev embedding operators with applications in inverse problems},
doi = {10.1553/etna_vol59s116},
journal = {Electron. Trans. Numer. Anal.},
fjournal = {Electronic Transactions on Numerical Analysis},
pages = {116--144},
pdf = {https://epub.oeaw.ac.at/0xc1aa5576_0x003e6cc3.pdf},
volume = {59},
year = {2023},
}
F. Hinterer, M. C. Schneider, S. Hubmer, M. López-Martínez, R. Ramlau and G. J. Schütz Localization of fixed dipoles at high precision by accounting for sample drift during illumination Applied Physics Letters, 123(2):, 2023 ( | Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )@article{HinSchnHubLopRam23,
author = {Hinterer, F. and Schneider, M.~C. and Hubmer, S. and L{\'o}pez-Mart{\'i}nez, M. and Ramlau, R. and Sch{\"u}tz, G.~J.},
title = {Localization of fixed dipoles at high precision by accounting for sample drift during illumination},
doi = {10.1063/5.0137834},
journal = {Appl. Phys. Lett.},
fjournal = {Applied Physics Letters},
number = {2},
pdf = {https://pubs.aip.org/aip/apl/article-pdf/doi/10.1063/5.0137834/18042148/023703_1_5.0137834.pdf},
volume = {123},
year = {2023},
}
(preprint)
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{HubSheRamPirLei23,
author = {Hubmer, S. and Sherina, E. and Ramlau, R. and Pircher, M. and Leitgeb, R.},
title = {Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach},
doi = {10.1137/22m1543240},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {4},
pages = {1857-1885},
volume = {16},
year = {2023},
}
(preprint)
S. Hubmer, A. Ploier, R. Ramlau, P. Fosodeder and S. van Frank A mathematical approach towards THz tomography for non-destructive imaging Inverse Problems & Imaging, 16(1):68–88, 2022 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubPloRamFosFra21,
author = {Hubmer, S. and Ploier, A. and Ramlau, R. and Fosodeder, P. and van Frank, S.},
title = {A mathematical approach towards {THz} tomography for non-destructive imaging},
doi = {10.3934/ipi.2021041},
journal = {Inverse Probl. Imaging},
fjournal = {Inverse Problems {\&} Imaging},
number = {1},
pages = {68--88},
pdf = {https://www.aimsciences.org/article/doi/10.3934/ipi.2021041#FullText},
volume = {16},
year = {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 ( | Subprojects: Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{HubSheKinRai22,
author = {Hubmer, S. and Sherina, E. and Kindermann, S. and Raik, K.},
title = {A numerical comparison of some heuristic stopping rules for nonlinear Landweber iteration},
doi = {10.1553/etna_vol57s216},
journal = {Electron. Trans. Numer. Anal.},
fjournal = {Electronic Transactions on Numerical Analysis},
pages = {216--241},
pdf = {https://epub.oeaw.ac.at/0xc1aa5576_0x003dd6da.pdf},
url = {https://doi.org/10.1553/etna_vol57s216},
volume = {57},
year = {2022},
}
R. Wagner, D. Saxenhuber, R. Ramlau and S. Hubmer Direction dependent point spread function reconstruction for multi-conjugate adaptive optics on giant segmented mirror telescopes Astronomy and Computing, 40:100590, 2022 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{WagSaxRamHub22,
author = {Wagner, R. and Saxenhuber, D. and Ramlau, R. and Hubmer, S.},
title = {Direction dependent point spread function reconstruction for multi-conjugate adaptive optics on giant segmented mirror telescopes},
doi = {10.1016/j.ascom.2022.100590},
journal = {Astron. Comput.},
fjournal = {Astronomy and Computing},
pages = {100590},
pdf = {https://www.sciencedirect.com/science/article/pii/S2213133722000270/pdfft?md5=dac29f8b4ff2f349b7796dbdac3d4517},
volume = {40},
year = {2022},
}
S. Hubmer, R. Ramlau and L. Weissinger On regularization via frame decompositions with applications in tomography Inverse Problems, 38(5):055003, 2022 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubRamWei22,
author = {Hubmer, S. and Ramlau, R. and Weissinger, L.},
title = {On regularization via frame decompositions with applications in tomography},
doi = {10.1088/1361-6420/ac5b86},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {5},
pages = {055003},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ac5b86/pdf},
volume = {38},
year = {2022},
}
(preprint)
B. Stadler and R. Ramlau Performance of an iterative wavelet reconstructor for the Multi-conjugate Adaptive Optics RelaY of the Extremely Large Telescope Journal of Astronomical Telescopes, Instruments, and Systems, 8(2):, 2022 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{StaRam22,
author = {Stadler, B. and Ramlau, R.},
title = {Performance of an iterative wavelet reconstructor for the Multi-conjugate Adaptive Optics RelaY of the Extremely Large Telescope},
doi = {10.1117/1.jatis.8.2.021503},
journal = {J. Astronom. Telesc. Instrum. Syst.},
fjournal = {Journal of Astronomical Telescopes, Instruments, and Systems},
number = {2},
volume = {8},
year = {2022},
}
(preprint)
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{KraSheHubLiuDre22,
author = {Krainz, L. and Sherina, E. and Hubmer, S. and Liu, M. and Drexler, W. and Scherzer, O.},
title = {Quantitative Optical Coherence Elastography: A Novel Intensity-Based Inversion Method Versus Strain-Based Reconstructions},
doi = {10.1109/jstqe.2022.3225108},
journal = {{IEEE} J. Sel. Topics Quantum Electron.},
fjournal = {{IEEE} Journal of Selected Topics in Quantum Electronics},
month = jul,
number = {4: Biophotonics},
pages = {1--16},
pdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9964203},
volume = {29},
year = {2022},
}
F. Hinterer, M. C. Schneider, S. Hubmer, M. López-Martinez, P. Zelger, et. al. Robust and bias-free localization of individual fixed dipole emitters achieving the Cramér Rao bound for applications in cryo-single molecule localization microscopy PLoS ONE, 17(2):e0263500, 2022 ( | Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )@article{HinSchnHubLopZel22,
author = {Hinterer, F. and Schneider, M.~C. and Hubmer, S. and L{\'o}pez-Martinez, M. and Zelger, P. and Jesacher, A. and Ramlau, R. and Sch{\"u}tz, G.~J.},
title = {Robust and bias-free localization of individual fixed dipole emitters achieving the Cram{\'e}r Rao bound for applications in cryo-single molecule localization microscopy},
doi = {10.1371/journal.pone.0263500},
editor = {Cebecauer, M.},
journal = {{PLoS} {ONE}},
fjournal = {{PLoS} {ONE}},
number = {2},
pages = {e0263500},
pdf = {https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0263500&type=printable},
volume = {17},
year = {2022},
}
R. Ramlau and B. Stadler An augmented wavelet reconstructor for atmospheric tomography Electronic Transactions on Numerical Analysis, 54:256–275, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{RamSta21,
author = {Ramlau, R. and Stadler, B.},
title = {An augmented wavelet reconstructor for atmospheric tomography},
doi = {10.1553/etna_vol54s256},
journal = {Electron. Trans. Numer. Anal.},
fjournal = {Electronic Transactions on Numerical Analysis},
pages = {256--275},
pdf = {https://epub.oeaw.ac.at/0xc1aa5576_0x003c53f1.pdf},
volume = {54},
year = {2021},
}
(preprint)
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@inproceedings{SheKraHubDreSch21,
author = {Sherina, E. and Krainz, L. and Hubmer, S. and Drexler, W. and Scherzer, O.},
title = {Challenges for Optical Flow Estimates in Elastography},
booktitle = {Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-75549-2_11},
number = {1},
pages = {128--139},
year = {2021},
}
(preprint)
D. Gerth and R. Ramlau Estimating Solution Smoothness and Data Noise with Tikhonov Regularization Numerical Functional Analysis and Optimization, 43(1):88–115, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{GerRam21,
author = {Gerth, D. and Ramlau, R.},
title = {Estimating Solution Smoothness and Data Noise with Tikhonov Regularization},
doi = {10.1080/01630563.2021.2007948},
journal = {Numer. Funct. Anal. Optim.},
fjournal = {Numerical Functional Analysis and Optimization},
number = {1},
pages = {88--115},
pdf = {https://www.tandfonline.com/doi/pdf/10.1080/01630563.2021.2007948},
volume = {43},
year = {2021},
}
S. Hubmer and R. Ramlau Frame decompositions of bounded linear operators in Hilbert spaces with applications in tomography Inverse Problems, 37(5):055001, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubRam21,
author = {Hubmer, S. and Ramlau, R.},
title = {Frame decompositions of bounded linear operators in Hilbert spaces with applications in tomography},
doi = {10.1088/1361-6420/abe5b8},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {5},
pages = {055001},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/abe5b8/pdf},
volume = {37},
year = {2021},
}
(preprint)
B. Stadler, R. Biasi, M. Manetti and R. Ramlau Parallel implementation of an iterative solver for atmospheric tomographyIn 2021 21st International Conference on Computational Science and Its Applications (ICCSA), 9909:123–132, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@inproceedings{StaBiaManRam21,
author = {Stadler, B. and Biasi, R. and Manetti, M. and Ramlau, R.},
title = {Parallel implementation of an iterative solver for atmospheric tomography},
booktitle = {2021 21st International Conference on Computational Science and Its Applications (ICCSA)},
doi = {10.1109/iccsa54496.2021.00026},
pages = {123--132},
volume = {9909},
year = {2021},
}
(preprint)(preprint)
P. Fosodeder, S. Hubmer, A. Ploier, R. Ramlau, S. van Frank and Ch. Rankl Phase-contrast TZh-CT for non-destructive testing Optics Express, 29(10):15711, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{FosHubPloRamFra21,
author = {Fosodeder, P. and Hubmer, S. and Ploier, A. and Ramlau, R. and van Frank, S. and Rankl, Ch.},
title = {Phase-contrast {TZh}-{CT} for non-destructive testing},
doi = {10.1364/oe.422961},
journal = {Opt. Express},
fjournal = {Optics Express},
number = {10},
pages = {15711},
volume = {29},
year = {2021},
}
(preprint)(preprint)
R. Ramlau, K. M. Soodhalter and V. Hutterer Subspace Recycling–Based Regularization Methods SIAM Journal on Matrix Analysis and Applications, 42(4):1480–1505, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{RamSooHut21,
author = {Ramlau, R. and Soodhalter, K.~M. and Hutterer, V.},
title = {Subspace Recycling--Based Regularization Methods},
doi = {10.1137/20m1379617},
journal = {{SIAM} J. Matrix Anal. Appl.},
fjournal = {{SIAM} Journal on Matrix Analysis and Applications},
number = {4},
pages = {1480--1505},
volume = {42},
year = {2021},
}
(preprint)(preprint)
J. Niebsch and R. Ramlau Tomographic Reconstruction for Single Conjugate Adaptive OpticsIn Time-dependent Problems in Imaging and Parameter Identification, 303–322. Springer International Publishing, February, 2021 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@incollection{NieRam21,
author = {Niebsch, J. and Ramlau, R.},
title = {Tomographic Reconstruction for Single Conjugate Adaptive Optics},
booktitle = {Time-dependent Problems in Imaging and Parameter Identification},
doi = {10.1007/978-3-030-57784-1_11},
month = feb,
pages = {303--322},
publisher = {Springer International Publishing},
year = {2021},
}
(preprint)(preprint)
S. Hubmer, A. Neubauer, R. Ramlau and H. U. Voss A conjugate-gradient approach to the parameter estimation problem of magnetic resonance advection imaging Inverse Problems in Science and Engineering, 28(8):1154–1165, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubNeuRamVos20,
author = {Hubmer, S. and Neubauer, A. and Ramlau, R. and Voss, H.~U.},
title = {A conjugate-gradient approach to the parameter estimation problem of magnetic resonance advection imaging},
doi = {10.1080/17415977.2019.1708911},
journal = {Inverse Probl. Sci. Eng.},
fjournal = {Inverse Problems in Science and Engineering},
number = {8},
pages = {1154--1165},
volume = {28},
year = {2020},
}
(preprint)
S. Hubmer and R. Ramlau A frame decomposition of the atmospheric tomography operator Inverse Problems, 36(9):094001, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubRam20,
author = {Hubmer, S. and Ramlau, R.},
title = {A frame decomposition of the atmospheric tomography operator},
doi = {10.1088/1361-6420/aba4fe},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {9},
pages = {094001},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/aba4fe/pdf},
volume = {36},
year = {2020},
}
F. Hinterer, S. Hubmer and R. Ramlau A note on the minimization of a Tikhonov functional with ℓ1-penalty Inverse Problems, 36(7):074001, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HinHubRam20,
author = {Hinterer, F. and Hubmer, S. and Ramlau, R.},
title = {A note on the minimization of a Tikhonov functional with $\ell^1$-penalty},
doi = {10.1088/1361-6420/ab89c2},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {7},
pages = {074001},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab89c2/pdf},
volume = {36},
year = {2020},
}
E. M. G. Landl Actuator Command Reconstruction with 3-sided Pyramid Sensors in AO-OCTMaster thesis, Johannes Kepler Universität Linz, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@phdthesis{Lan20,
author = {Landl, E.~M.~G.},
title = {Actuator Command Reconstruction with 3-sided Pyramid Sensors in AO-OCT},
pdf = {https://epub.jku.at/obvulihs/download/pdf/5493055?originalFilename=true},
school = {Johannes Kepler Universität Linz},
type = {Master thesis},
url = {https://epub.jku.at/obvulihs/content/titleinfo/5493055},
year = {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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{SheKraHubDreSch20,
author = {Sherina, E. and Krainz, L. and Hubmer, S. and Drexler, W. and Scherzer, O.},
title = {Displacement field estimation from {OCT} images utilizing speckle information with applications in quantitative elastography},
doi = {10.1088/1361-6420/abaf65},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {12},
pages = {124003},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/abaf65/pdf},
url = {https://iopscience.iop.org/article/10.1088/1361-6420/abaf65},
volume = {36},
year = {2020},
}
(preprint)
R. Ramlau, Ch. Koutschan and B. Hofmann On the Singular Value Decomposition of n-Fold Integration OperatorsIn Springer Proceedings in Mathematics & Statistics, 237–256. Springer Singapore, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@incollection{RamKouHof20,
author = {Ramlau, R. and Koutschan, Ch. and Hofmann, B.},
title = {On the Singular Value Decomposition of n-Fold Integration Operators},
booktitle = {Springer Proceedings in Mathematics {\&} Statistics},
doi = {10.1007/978-981-15-1592-7_11},
pages = {237--256},
publisher = {Springer Singapore},
year = {2020},
}
(preprint)
L. Weissinger Realization of the Frame Decomposition of the Atmospheric Tomography OperatorMaster thesis, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@phdthesis{Wei21,
author = {Weissinger, L.},
title = {Realization of the Frame Decomposition of the Atmospheric Tomography Operator},
pdf = {https://epub.jku.at/obvulihs/download/pdf/5816809?originalFilename=true},
type = {Master thesis},
url = {https://epub.jku.at/ULI/nav/index/name.asn},
year = {2020},
}
(preprint)
R. Ke, R. Wagner, R. Ramlau and R. Chan Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics System SIAM Journal on Imaging Sciences, 13(2):775–806, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{KeWagRamCha20,
author = {Ke, R. and Wagner, R. and Ramlau, R. and Chan, R.},
title = {Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics System},
doi = {10.1137/19m1258426},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {2},
pages = {775--806},
volume = {13},
year = {2020},
}
(preprint)
I. Shatokhina, V. Hutterer and R. Ramlau Review on methods for wavefront reconstruction from pyramid wavefront sensor data Journal of Astronomical Telescopes, Instruments, and Systems, 6(1):1, 2020 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{ShaHutRam20,
author = {Shatokhina, I. and Hutterer, V. and Ramlau, R.},
title = {Review on methods for wavefront reconstruction from pyramid wavefront sensor data},
doi = {10.1117/1.jatis.6.1.010901},
journal = {J. Astronom. Telesc. Instrum. Syst.},
fjournal = {Journal of Astronomical Telescopes, Instruments, and Systems},
number = {1},
pages = {1},
pdf = {https://www.spiedigitallibrary.org/journalArticle/Download?fullDOI=10.1117%2F1.JATIS.6.1.010901},
volume = {6},
year = {2020},
}
M. Pöttinger, R. Ramlau and G. Auzinger A new temporal control approach for SCAO systems Inverse Problems, 36(1):015002, 2019 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{PotRamAuz19,
author = {P{\"o}ttinger, M. and Ramlau, R. and Auzinger, G.},
title = {A new temporal control approach for {SCAO} systems},
doi = {10.1088/1361-6420/ab44dc},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {1},
pages = {015002},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab44dc/pdf},
volume = {36},
year = {2019},
}
R. Ramlau and L. Reichel Error estimates for Arnoldi–Tikhonov regularization for ill-posed operator equations Inverse Problems, 35(5):055002, 2019 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{RamRei19,
author = {Ramlau, R. and Reichel, L.},
title = {Error estimates for Arnoldi{\textendash}Tikhonov regularization for ill-posed operator equations},
doi = {10.1088/1361-6420/ab0663},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {5},
pages = {055002},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab0663/pdf},
volume = {35},
year = {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 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubKnuLiShe19,
author = {Hubmer, S. and Knudsen, K. and Li, C. and Sherina, E.},
title = {Limited-Angle Acousto-Electrical Tomography},
doi = {10.1080/17415977.2018.1512983},
journal = {Inverse Probl. Sci. Eng.},
fjournal = {Inverse Problems in Science and Engineering},
number = {9},
pages = {1298--1317},
pdf = {https://www.tandfonline.com/doi/pdf/10.1080/17415977.2018.1512983?needAccess=true},
url = {https://www.tandfonline.com/doi/full/10.1080/17415977.2018.1512983},
volume = {27},
year = {2019},
}
V. Hutterer, P. Janin-Potiron, I. Shatokhina, O. Fauvarque, A. Obereder, et. al. Model-based wavefront reconstruction for the pyramid sensor tested on the LOOPS benchIn 6th International Conference on Adaptive Optics for Extremely Large Telescopes, AO4ELT 2019, 2019 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@inproceedings{HutShaFauObeRaf19,
author = {Hutterer, V. and Janin-Potiron, P. and Shatokhina, I. and Fauvarque, O. and Obereder, A. and Raffetseder, S. and Chambouleyron, V. and Correia, C. and Fusco, T. and Neichel, B. and El-Hadi, K. and Bond, C.},
title = {Model-based wavefront reconstruction for the pyramid sensor tested on the LOOPS bench},
booktitle = {6th International Conference on Adaptive Optics for Extremely Large Telescopes, AO4ELT 2019},
pdf = {https://hal.archives-ouvertes.fr/hal-02639502/file/DOTA20094.1590658517.pdf},
url = {https://hal.archives-ouvertes.fr/hal-02639502},
year = {2019},
}
V. Hutterer, R. Ramlau and I. Shatokhina Real-time adaptive optics with pyramid wavefront sensors: part I. A theoretical analysis of the pyramid sensor model Inverse Problems, 35(4):045007, 2019 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HutRamSha19b,
author = {Hutterer, V. and Ramlau, R. and Shatokhina, I.},
title = {Real-time adaptive optics with pyramid wavefront sensors: part I. A theoretical analysis of the pyramid sensor model},
doi = {10.1088/1361-6420/ab0656},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {4},
pages = {045007},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab0656/pdf},
volume = {35},
year = {2019},
}
V. Hutterer, R. Ramlau and I. Shatokhina Real-time adaptive optics with pyramid wavefront sensors: part II. Accurate wavefront reconstruction using iterative methods Inverse Problems, 35(4):045008, 2019 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HutRamSha19,
author = {Hutterer, V. and Ramlau, R. and Shatokhina, I.},
title = {Real-time adaptive optics with pyramid wavefront sensors: part {II}. Accurate wavefront reconstruction using iterative methods},
doi = {10.1088/1361-6420/ab0900},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {4},
pages = {045008},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab0900/pdf},
volume = {35},
year = {2019},
}
O. Fauvarque, V. Hutterer, P. Janin-Potiron, J. Duboisset, C. Correia, 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 Telescopes AO4ELT6, 2019 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@inproceedings{FauHutJanDubCor19,
author = {Fauvarque, O. and Hutterer, V. and Janin-Potiron, P. and Duboisset, J. and Correia, C. and Neichel, B. and Sauvage, J.-F, and Fusco, T. and Shatokhina, I. and Ramlau, R. Chambouleyron, V. and Brûlé, Y.},
title = {The ıQuad sensor: a new Fourier-based wave front sensor derived from the 4 quadrants coronagraph},
booktitle = {6th International Conference on Adaptive Optics for Extremely Large Telescopes AO4ELT6},
pdf = {http://ao4elt6.copl.ulaval.ca/proceedings/401-Pdyj-81.pdf},
url = {http://ao4elt6.copl.ulaval.ca/proceedings/401-Pdyj-81.pdf},
year = {2019},
}
(preprint)
A. Buccini, M. Donatelli and R. Ramlau A Semiblind Regularization Algorithm for Inverse Problems with Application to Image Deblurring SIAM Journal on Scientific Computing, 40(1):A452–A483, 2018 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{BucDonRam18,
author = {Buccini, A. and Donatelli, M. and Ramlau, R.},
title = {A Semiblind Regularization Algorithm for Inverse Problems with Application to Image Deblurring},
doi = {10.1137/16m1101830},
journal = {{SIAM} J. Sci. Comput.},
fjournal = {{SIAM} Journal on Scientific Computing},
number = {1},
pages = {A452--A483},
volume = {40},
year = {2018},
}
(preprint)
S. Hubmer and R. Ramlau Nesterov's accelerated gradient method for nonlinear ill-posed problems with a locally convex residual functional Inverse Problems, 34(9):095003, 2018 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HubRam18,
author = {Hubmer, S. and Ramlau, R.},
title = {Nesterov's accelerated gradient method for nonlinear ill-posed problems with a locally convex residual functional},
doi = {10.1088/1361-6420/aacebe},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {9},
pages = {095003},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/aacebe/pdf},
publisher = {{IOP} Publishing},
volume = {34},
year = {2018},
}
(preprint)
V. Hutterer and R. Ramlau Nonlinear wavefront reconstruction methods for pyramid sensors using Landweber and Landweber-Kaczmarz iterations Applied Optics, 57(30):8790–8804, 2018 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HutRam18,
author = {Hutterer, V. and Ramlau, R.},
title = {Nonlinear wavefront reconstruction methods for pyramid sensors using Landweber and Landweber-Kaczmarz iterations},
doi = {10.1364/ao.57.008790},
journal = {Appl. Opt.},
fjournal = {Applied Optics},
number = {30},
pages = {8790--8804},
volume = {57},
year = {2018},
}
(preprint)(preprint)
R. Wagner, Ch. Hofer and R. Ramlau Point spread function reconstruction for single-conjugate adaptive optics on extremely large telescopes Journal of Astronomical Telescopes, Instruments, and Systems, 4(4):1, 2018 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{WagHofRam18,
author = {Wagner, R. and Hofer, Ch. and Ramlau, R.},
title = {Point spread function reconstruction for single-conjugate adaptive optics on extremely large telescopes},
doi = {10.1117/1.jatis.4.4.049003},
journal = {J. Astronom. Telesc. Instrum. Syst.},
fjournal = {Journal of Astronomical Telescopes, Instruments, and Systems},
number = {4},
pages = {1},
volume = {4},
year = {2018},
}
(preprint)
L. Barl, P. Baudoz, R. Bender, P. Bizenberger, T. Buey, et. al. The MICADO first light imager for the ELT: overview, operation, simulationIn Hideki Takami, Christopher J. Evans and Luc Simard, editors, Ground-based and Airborne Instrumentation for Astronomy VII, 64. SPIE, July, 2018 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@inproceedings{BarBauBenBizBue18,
author = {Barl, L. and Baudoz, P. and Bender, R. and Bizenberger, P. and Buey, T. and Chemla, F. and Cohen, M. and Czoske, O. and Disseau, K. and Dreizler, S. and Fabricius, M. and Geis, N. and Gemperlein, H. and Genzel, R. and Gl{\"u}ck, M. and Hartl, M. and H{\"a}user, M. and Hofferbert, R. and Hopp, U. and Hubert, Z. and Huby, E. and Huet, J.-M. and Hutterer, V. and Ives, D. and Janssen, A. and Jellema, W. and Kausch, W. and Kerber, F. and Kravcar, H. and Leschinski, K. and Mandla, C. and Manhart, M. and Mohr, L. and Neumann, U. and Neumayer, N. and Richter, A. and Richter, J. and Rodeghiero, G. and Rosensteiner, M. and Schlichter, J. and Schubert, J. and Thomas, J. and Wegner, M. and Zeilinger, W. and Ziegleder, J. and Ziegler, B. and Zins, G. and Davies, R. and Alves, J. and Cl{\'e}net, Y. and Lang-Bardl, F. and Nicklas, H. and Pott, J.-U. and Ragazzoni, R. and Tolstoy, E. and Amico, P. and Anwand-Heerwart, H. and Barboza, S. and Bezawada, N. and Boland, W. and Bonifacio, P. and Borgo, B. and Chapron, F. and D{\'e}o, V. and Dupuis, O. and Falomo, R. and Fedou, P. and F{\"o}rster Schreiber, N. and Garrel, V. and Gendron, E. and Gillessen, S. and Grupp, F. and Hess, H.-J. and H{\"o}rmann, V. and Le Ruyet, B. and Massari, D. and Mei, S. and Merlin, F. and Monna, A. and Muench, N. and M{\"u}ller, F. and Musters, G. and Navarro, R. and Niebsch, J. and Plattner, M. and Przybilla, N. and Rabien, S. and Ramlau, R. and Ramos, J. and Ramsay, S. and Rhode, P. and Rix, H.-W. and Rohloff, R.-R. and Rousset, G. and Sevin, A. and Stuik, R. and Sturm, E. and Tromp, N. and Verdoes-Kleijn, G. and Vidal, F. and Wagner, R.},
title = {The {MICADO} first light imager for the {ELT}: overview, operation, simulation},
booktitle = {Ground-based and Airborne Instrumentation for Astronomy {VII}},
doi = {10.1117/12.2311483},
editor = {Hideki Takami and Christopher J. Evans and Luc Simard},
month = jul,
pages = {64},
pdf = {https://www.spiedigitallibrary.org/proceedings/Download?fullDOI=10.1117%2F12.2311483},
publisher = {{SPIE}},
year = {2018},
}
V. Hutterer, I. Shatokhina, A. Obereder and R. Ramlau Advanced wavefront reconstruction methods for segmented Extremely Large Telescope pupils using pyramid sensors Journal of Astronomical Telescopes, Instruments, and Systems, 4(4):1 – 18, 2018 ( | Subproject: Tomography in Astronomy | PDF )
| Subproject: Tomography in Astronomy | PDF )@article{HutShaObeRam18,
author = {Hutterer, V. and Shatokhina, I. and Obereder, A. and Ramlau, R.},
title = {{Advanced wavefront reconstruction methods for segmented Extremely Large Telescope pupils using pyramid sensors}},
doi = {10.1117/1.jatis.4.4.049005},
journal = {J. Astronom. Telesc. Instrum. Syst.},
fjournal = {Journal of Astronomical Telescopes, Instruments, and Systems},
number = {4},
pages = {1 -- 18},
pdf = {https://www.spiedigitallibrary.org/journalArticle/Download?fullDOI=10.1117%2F1.JATIS.4.4.049005},
volume = {4},
year = {2018},
}
Imaging of Trapped Particles (F6806)
M. Kvaale Lovmo, S. Deng, S. Moser, R. Leitgeb, W. Drexler and M. Ritsch-Marte Ultrasound-induced reorientation for multi-angle optical coherence tomography Nature Communications, 15(1):, 2024 ( | Subprojects: Multi-Modal Imaging + Imaging of Trapped Particles | PDF )
| Subprojects: Multi-Modal Imaging + Imaging of Trapped Particles | PDF )@article{KvaDenMosLeiDre24,
author = {Kv{\aa}le L{\o}vmo, M. and Deng, S. and Moser, S. and Leitgeb, R. and Drexler, W. and Ritsch-Marte, M.},
title = {Ultrasound-induced reorientation for multi-angle optical coherence tomography},
doi = {10.1038/s41467-024-46506-2},
journal = {Nat. Commun.},
fjournal = {Nature Communications},
number = {1},
pdf = {https://www.nature.com/articles/s41467-024-46506-2.pdf},
volume = {15},
year = {2024},
}
M. K. Lovmo, S. Moser, G. Thalhammer-Thurner and M. Ritsch-Marte Acoustofluidic trapping device for high-NA multi-angle imaging Frontiers in Physics, 10:, 2022 ( | Subproject: Imaging of Trapped Particles | PDF )
| Subproject: Imaging of Trapped Particles | PDF )@article{LovMosThaRit22,
author = {L{\o}vmo, M.~K. and Moser, S. and Thalhammer-Thurner, G. and Ritsch-Marte, M.},
title = {Acoustofluidic trapping device for high-NA multi-angle imaging},
doi = {10.3389/fphy.2022.940115},
journal = {Front. Phys.},
fjournal = {Frontiers in Physics},
pdf = {https://www.frontiersin.org/articles/10.3389/fphy.2022.940115/pdf},
volume = {10},
year = {2022},
}
(preprint)
F. Faucher, C. Kirisits, M. Quellmalz, O. Scherzer and E. Setterqvist Diffraction Tomography, Fourier Reconstruction, and Full Waveform InversionIn Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2022 ( | Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties | PDF )
| Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties | PDF )@incollection{FauKirQueSchSet22a,
author = {Faucher, F. and Kirisits, C. and Quellmalz, M. and Scherzer, O. and Setterqvist, E.},
title = {Diffraction Tomography, Fourier Reconstruction, and Full Waveform Inversion},
booktitle = {Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging},
doi = {10.1007/978-3-030-03009-4_115-1},
url = {https://link.springer.com/referenceworkentry/10.1007/978-3-030-03009-4_115-1},
year = {2022},
}
(preprint)
M. Kvaale Lovmo, B. Pressl, G. Thalhammer and M. Ritsch-Marte Controlled orientation and sustained rotation of biological samples in a sono-optical microfluidic device Lab on a Chip, 21(8):1563–1578, 2021 ( | Subproject: Imaging of Trapped Particles | PDF )
| Subproject: Imaging of Trapped Particles | PDF )@article{LovPreThaRit21,
author = {Kv{\aa}le L{\o}vmo, M. and Pressl, B. and Thalhammer, G. and Ritsch-Marte, M.},
title = {Controlled orientation and sustained rotation of biological samples in a sono-optical microfluidic device},
doi = {10.1039/d0lc01261k},
journal = {Lab Chip},
fjournal = {Lab on a Chip},
number = {8},
pages = {1563--1578},
pdf = {https://pubs.rsc.org/en/content/articlepdf/2021/lc/d0lc01261k},
volume = {21},
year = {2021},
}
C. Kirisits, M. Quellmalz, M. Ritsch-Marte, O. Scherzer, E. Setterqvist and G. Steidl Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations Inverse Problems, 37(11):115002, 2021 ( | Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )@article{KirQueRitSchSet21,
author = {Kirisits, C. and Quellmalz, M. and Ritsch-Marte, M. and Scherzer, O. and Setterqvist, E. and Steidl, G.},
title = {Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations},
doi = {10.1088/1361-6420/ac2749},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {11},
pages = {115002},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ac2749/pdf},
volume = {37},
year = {2021},
}
(preprint)
K. Dholakia, B. W. Drinkwater and M. Ritsch-Marte Comparing acoustic and optical forces for biomedical research Nature Reviews Physics, 2(9):480–491, 2020 ( | Subproject: Imaging of Trapped Particles | PDF )
| Subproject: Imaging of Trapped Particles | PDF )@article{DhoDriRit20,
author = {Dholakia, K. and Drinkwater, B.~W. and Ritsch-Marte, M.},
title = {Comparing acoustic and optical forces for biomedical research},
doi = {10.1038/s42254-020-0215-3},
journal = {Nat. Rev. Phys.},
fjournal = {Nature Reviews Physics},
number = {9},
pages = {480--491},
volume = {2},
year = {2020},
}
(preprint)
P. Elbau, M. Ritsch-Marte, O. Scherzer and D. Schmutz Motion Reconstruction for Optical Tomography of Trapped Objects Inverse Problems, 36(4):044004, 2020 ( | Subprojects: Quantitative Coupled Physics Imaging + Imaging of Trapped Particles + Tomography with Uncertainties | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Imaging of Trapped Particles + Tomography with Uncertainties | PDF )@article{ElbRitSchSchm20,
author = {Elbau, P. and Ritsch-Marte, M. and Scherzer, O. and Schmutz, D.},
title = {Motion Reconstruction for Optical Tomography of Trapped Objects},
doi = {10.1088/1361-6420/ab67db},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {4},
pages = {044004},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab67db/pdf},
url = {https://iopscience.iop.org/article/10.1088/1361-6420/ab67db},
volume = {36},
year = {2020},
}
S. Moser, M. Ritsch-Marte and G. Thalhammer Model-based compensation of pixel crosstalk in liquid crystal spatial light modulators Optics Express, 27(18):25046–25063, 2019 ( | Subproject: Imaging of Trapped Particles | PDF )
| Subproject: Imaging of Trapped Particles | PDF )@article{MosRitTha19,
author = {Moser, S. and Ritsch-Marte, M. and Thalhammer, G.},
title = {Model-based compensation of pixel crosstalk in liquid crystal spatial light modulators},
doi = {10.1364/oe.27.025046},
journal = {Opt. Express},
fjournal = {Optics Express},
number = {18},
pages = {25046--25063},
pdf = {https://www.osapublishing.org/oe/viewmedia.cfm?uri=oe-27-18-25046&seq=0},
volume = {27},
year = {2019},
}
Tomography with Uncertainties (F6807)
(preprint)
B. Mejri and O. Scherzer An Inversion Scheme for Elastic Diffraction Tomography Based on Mode Separation SIAM Journal on Applied Mathematics, 84(1):165–188, February, 2024 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{MejSch24,
author = {Mejri, B. and Scherzer, O.},
title = {An Inversion Scheme for Elastic Diffraction Tomography Based on Mode Separation},
doi = {10.1137/22M1538909},
journal = {{SIAM} J. Appl. Math.},
fjournal = {{SIAM} Journal on Applied Mathematics},
month = feb,
number = {1},
pages = {165--188},
volume = {84},
year = {2024},
}
(preprint)
C. Kirisits, N. Naujoks, O. Scherzer and H. Yang Diffraction tomography for incident Herglotz waves Inverse Problems, 40(11):115007, 2024 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{KirNauSchYan24,
author = {Kirisits, C. and Naujoks, N. and Scherzer, O. and Yang, H.},
title = {Diffraction tomography for incident Herglotz waves},
doi = {10.1088/1361-6420/ad7d2d},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {11},
pages = {115007},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ad7d2d/pdf},
volume = {40},
year = {2024},
}
L. Frischauf, O. Scherzer and C. Shi Quadratic Neural Networks for Solving Inverse Problems Numerical Functional Analysis and Optimization, 112–135, 2024 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FriSchShi24,
author = {Frischauf, L. and Scherzer, O. and Shi, C.},
title = {Quadratic Neural Networks for Solving Inverse Problems},
doi = {10.1080/01630563.2024.2316580},
issue = {2},
journal = {Numer. Funct. Anal. Optim.},
fjournal = {Numerical Functional Analysis and Optimization},
pages = {112--135},
pdf = {https://www.tandfonline.com/doi/epdf/10.1080/01630563.2024.2316580},
year = {2024},
}
F. Parzer, C. Kirisits and O. Scherzer Uncertainty Quantification for Scale-Space Blob Detection Journal of Mathematical Imaging and Vision, 66:697–717, 2024 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{ParKirSch24,
author = {Parzer, F. and Kirisits, C. and Scherzer, O.},
title = {Uncertainty Quantification for Scale-Space Blob Detection},
doi = {10.1007/s10851-024-01194-x},
journal = {J. Math. Imaging Vision},
fjournal = {Journal of Mathematical Imaging and Vision},
pages = {697--717},
pdf = {https://link.springer.com/content/pdf/10.1007/s10851-024-01194-x.pdf},
volume = {66},
year = {2024},
}
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 ( | Subprojects: Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{HubSheRam23,
author = {Hubmer, S. and Sherina, E. and Ramlau, R.},
title = {Characterizations of adjoint Sobolev embedding operators with applications in inverse problems},
doi = {10.1553/etna_vol59s116},
journal = {Electron. Trans. Numer. Anal.},
fjournal = {Electronic Transactions on Numerical Analysis},
pages = {116--144},
pdf = {https://epub.oeaw.ac.at/0xc1aa5576_0x003e6cc3.pdf},
volume = {59},
year = {2023},
}
O. Scherzer, B. Hofmann and Z. Nashed Gauss–Newton method for solving linear inverse problems with neural network coders Sampling Theory, Signal Processing, and Data Analysis, 21(2):, 2023 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{SchHofNas23,
author = {Scherzer, O. and Hofmann, B. and Nashed, Z.},
title = {Gauss{\textendash}Newton method for solving linear inverse problems with neural network coders},
doi = {10.1007/s43670-023-00066-6},
journal = {Sampl. Theory Signal Process. Data Anal.},
fjournal = {Sampling Theory, Signal Processing, and Data Analysis},
number = {2},
pdf = {https://link.springer.com/content/pdf/10.1007/s43670-023-00066-6.pdf},
volume = {21},
year = {2023},
}
(preprint)
M. Quellmalz, P. Elbau, O. Scherzer and G. Steidl Motion Detection in Diffraction Tomography by Common Circle Methods Mathematics of Computation, 2023 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )@article{QueElbSchSte23,
author = {Quellmalz, M. and Elbau, P. and Scherzer, O. and Steidl, G.},
title = {Motion Detection in Diffraction Tomography by Common Circle Methods},
doi = {10.1090/mcom/3869},
journal = {Math. Comp.},
fjournal = {Mathematics of Computation},
year = {2023},
}
(preprint)
F. Faucher and O. Scherzer Quantitative inverse problem in visco-acoustic media under attenuation model uncertainty Journal of Computational Physics, 472:111685, January, 2023 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FauSch23,
author = {Faucher, F. and Scherzer, O.},
title = {Quantitative inverse problem in visco-acoustic media under attenuation model uncertainty},
doi = {10.1016/j.jcp.2022.111685},
journal = {J. Comput. Phys.},
fjournal = {Journal of Computational Physics},
month = jan,
pages = {111685},
pdf = {https://www.sciencedirect.com/science/article/pii/S0021999122007483/pdfft?md5=89a23717cccf53e69bee4beb80934dfe&pid=1-s2.0-S0021999122007483-main.pdf},
volume = {472},
year = {2023},
}
D. Schmutz, P. Elbau, M. Quellmalz, M. Ritsch-Marte, O. Scherzer and Steidl G. Rigid Motion Reconstruction in Parallel Beam and Diffraction TomographyIn Oberwolfach Reports: Tomographic Inverse Problems - Mathematical Challenges and Novel Applications, (21)41–43. Mathematisches Forschungsinstitut Oberwolfach, 2023 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )@inproceedings{SchmElbQueRitSch23,
author = {Schmutz, D. and Elbau, P. and Quellmalz, M. and Ritsch-Marte, M. and Scherzer, O. and Steidl G.},
title = {Rigid Motion Reconstruction in Parallel Beam and Diffraction Tomography},
booktitle = {Oberwolfach Reports: Tomographic Inverse Problems - Mathematical Challenges and Novel Applications},
number = {21},
pages = {41--43},
pdf = {https://publications.mfo.de/bitstream/handle/mfo/4061/OWR_2023_21.pdf},
publisher = {Mathematisches Forschungsinstitut Oberwolfach},
url = {https://publications.mfo.de/handle/mfo/4061},
year = {2023},
}
(preprint)
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{HubSheRamPirLei23,
author = {Hubmer, S. and Sherina, E. and Ramlau, R. and Pircher, M. and Leitgeb, R.},
title = {Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach},
doi = {10.1137/22m1543240},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {4},
pages = {1857-1885},
volume = {16},
year = {2023},
}
(preprint)
F. Faucher and O. Scherzer Synthetic dataset for visco-acoustic imaging Data in Brief, 48:109199, 2023 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FauSch23b,
author = {Faucher, F. and Scherzer, O.},
title = {Synthetic dataset for visco-acoustic imaging},
doi = {10.1016/j.dib.2023.109199},
journal = {Data Br.},
fjournal = {Data in Brief},
pages = {109199},
pdf = {https://www.sciencedirect.com/science/article/pii/S2352340923003189/pdfft?md5=671cb00da25697e4b248a24b6fbef5e0&pid=1-s2.0-S2352340923003189-main.pdf},
volume = {48},
year = {2023},
}
F. Parzer, P. Jethwa, A. Boecker, M. Alfaro-Cuello, O. Scherzer and G. van de Ven Uncertainty-aware blob detection with an application to integrated-light stellar population recoveries Astronomy & Astrophysics, 2023 ( | Subprojects: Tomography with Uncertainties + Advancing Extragalactic Archeology through Novel Inversion Techniques | PDF )
| Subprojects: Tomography with Uncertainties + Advancing Extragalactic Archeology through Novel Inversion Techniques | PDF )@article{ParJetBoeAlfSch23,
author = {Parzer, F. and Jethwa, P. and Boecker, A. and Alfaro-Cuello, M. and Scherzer, O. and van de Ven, G.},
title = {Uncertainty-aware blob detection with an application to integrated-light stellar population recoveries},
doi = {10.1051/0004-6361/202244739},
journal = {Astronom. and Astrophys.},
fjournal = {Astronomy {\&} Astrophysics},
pdf = {https://www.aanda.org/articles/aa/pdf/forth/aa44739-22.pdf},
year = {2023},
}
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 ( | Subprojects: Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{HubSheKinRai22,
author = {Hubmer, S. and Sherina, E. and Kindermann, S. and Raik, K.},
title = {A numerical comparison of some heuristic stopping rules for nonlinear Landweber iteration},
doi = {10.1553/etna_vol57s216},
journal = {Electron. Trans. Numer. Anal.},
fjournal = {Electronic Transactions on Numerical Analysis},
pages = {216--241},
pdf = {https://epub.oeaw.ac.at/0xc1aa5576_0x003dd6da.pdf},
url = {https://doi.org/10.1553/etna_vol57s216},
volume = {57},
year = {2022},
}
A. Kittenberger, L. Mindrinos and O. Scherzer Computed Origami Tomography SIAM Review, 64(2):469–484, 2022 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{KitMinSch22,
author = {Kittenberger, A. and Mindrinos, L. and Scherzer, O.},
title = {Computed Origami Tomography},
doi = {10.1137/20M1378247},
journal = {{SIAM} Rev.},
fjournal = {{SIAM} Review},
number = {2},
pages = {469--484},
url = {https://epubs.siam.org/doi/10.1137/20M1378247},
volume = {64},
year = {2022},
}
R. Boţ, G. Dong, P. Elbau and O. Scherzer Convergence Rates of First and Higher Order Dynamics for Solving Linear Ill-posed Problems Foundations of Computational Mathematics, 22:1567–1629, 2022 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties | PDF )@article{BotDonElbSch22,
author = {Boţ, R. and Dong, G. and Elbau, P. and Scherzer, O.},
title = {Convergence Rates of First and Higher Order Dynamics for Solving Linear Ill-posed Problems},
doi = {10.1007/s10208-021-09536-6},
journal = {Found. Comput. Math.},
fjournal = {Foundations of Computational Mathematics},
pages = {1567--1629},
pdf = {https://link.springer.com/content/pdf/10.1007/s10208-021-09536-6.pdf},
volume = {22},
year = {2022},
}
(preprint)
F. Faucher, C. Kirisits, M. Quellmalz, O. Scherzer and E. Setterqvist Diffraction Tomography, Fourier Reconstruction, and Full Waveform InversionIn Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2022 ( | Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties | PDF )
| Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties | PDF )@incollection{FauKirQueSchSet22a,
author = {Faucher, F. and Kirisits, C. and Quellmalz, M. and Scherzer, O. and Setterqvist, E.},
title = {Diffraction Tomography, Fourier Reconstruction, and Full Waveform Inversion},
booktitle = {Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging},
doi = {10.1007/978-3-030-03009-4_115-1},
url = {https://link.springer.com/referenceworkentry/10.1007/978-3-030-03009-4_115-1},
year = {2022},
}
(preprint)
L. Frischauf, M. Melching and O. Scherzer Diffusion tensor regularization with metric double integrals Journal of Inverse and Ill-Posed Problems, 30(2):163–190, 2022 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FriMelSch22,
author = {Frischauf, L. and Melching, M. and Scherzer, O.},
title = {Diffusion tensor regularization with metric double integrals},
doi = {10.1515/jiip-2021-0041},
journal = {J. Inverse Ill-Posed Probl.},
fjournal = {Journal of Inverse and Ill-Posed Problems},
number = {2},
pages = {163--190},
pdf = {https://www.degruyter.com/document/doi/10.1515/jiip-2021-0041/pdf},
volume = {30},
year = {2022},
}
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{KraSheHubLiuDre22,
author = {Krainz, L. and Sherina, E. and Hubmer, S. and Liu, M. and Drexler, W. and Scherzer, O.},
title = {Quantitative Optical Coherence Elastography: A Novel Intensity-Based Inversion Method Versus Strain-Based Reconstructions},
doi = {10.1109/jstqe.2022.3225108},
journal = {{IEEE} J. Sel. Topics Quantum Electron.},
fjournal = {{IEEE} Journal of Selected Topics in Quantum Electronics},
month = jul,
number = {4: Biophotonics},
pages = {1--16},
pdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9964203},
volume = {29},
year = {2022},
}
M. C. Schneider, R. Telschow, G. Mercier, M. López-Martínez, O. Scherzer and G. J. Schütz A workflow for sizing oligomeric biomolecules based on cryo single molecule localization microscopy PLoS ONE, 16(1):e0245693, 2021 ( | Subprojects: Tomography with Uncertainties + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography with Uncertainties + Ultra-high Resolution Microscopy | PDF )@article{SchnTelMerLopSch21,
author = {Schneider, M.~C. and Telschow, R. and Mercier, G. and L{\'o}pez-Mart{\'i}nez, M. and Scherzer, O. and Schütz, G.~J. },
title = {A workflow for sizing oligomeric biomolecules based on cryo single molecule localization microscopy},
doi = {10.1371/journal.pone.0245693},
journal = {{PLoS} {ONE}},
fjournal = {{PLoS} {ONE}},
number = {1},
pages = {e0245693},
pdf = {https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0245693&type=printable},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0245693},
volume = {16},
year = {2021},
}
(preprint)
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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@inproceedings{SheKraHubDreSch21,
author = {Sherina, E. and Krainz, L. and Hubmer, S. and Drexler, W. and Scherzer, O.},
title = {Challenges for Optical Flow Estimates in Elastography},
booktitle = {Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-75549-2_11},
number = {1},
pages = {128--139},
year = {2021},
}
(preprint)(preprint)
A. Aspri, L. Frischauf, Y. Korolev and O. Scherzer Data Driven Reconstruction Using Frames and Riesz BasesIn B. Jadamba, A. A. Khan, S. Migórski and M. Sama, editors, Deterministic and Stochastic Optimal Control and Inverse Problems, 303–318. CRC Press, 2021 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@incollection{AspFriKorSch21,
author = {Aspri, A. and Frischauf, L. and Korolev, Y. and Scherzer, O.},
title = {Data Driven Reconstruction Using Frames and Riesz Bases},
booktitle = {Deterministic and Stochastic Optimal Control and Inverse Problems},
doi = {10.1201/9781003050575-13},
editor = {Jadamba, B. and Khan, A.~A. and Migórski, S. and Sama, M.},
pages = {303--318},
publisher = {CRC Press},
year = {2021},
}
(preprint)
C. Kirisits, M. Quellmalz, M. Ritsch-Marte, O. Scherzer, E. Setterqvist and G. Steidl Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations Inverse Problems, 37(11):115002, 2021 ( | Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )@article{KirQueRitSchSet21,
author = {Kirisits, C. and Quellmalz, M. and Ritsch-Marte, M. and Scherzer, O. and Setterqvist, E. and Steidl, G.},
title = {Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations},
doi = {10.1088/1361-6420/ac2749},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {11},
pages = {115002},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ac2749/pdf},
volume = {37},
year = {2021},
}
(preprint)
M. López-Martínez, G. Mercier, K. Sadiq, O. Scherzer, M. Schneider, et. al. Inverse Problems of Single Molecule Localization MicroscopyIn B. Kaltenbacher, T. Schuster and A. Wald, editors, Time-dependent Problems in Imaging and Parameter Identification, 323–376. Springer Nature, 2021 ( | Subprojects: Tomography with Uncertainties + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography with Uncertainties + Ultra-high Resolution Microscopy | PDF )@incollection{LopMerSadSchSchn21,
author = {L{\'o}pez-Mart{\'i}nez, M. and Mercier, G. and Sadiq, K. and Scherzer, O. and Schneider, M. and Schotland, J.~C. and Sch{\"u}tz, G.~J. and Telschow, R.},
title = {Inverse Problems of Single Molecule Localization Microscopy},
booktitle = {Time-dependent Problems in Imaging and Parameter Identification},
doi = {10.1007/978-3-030-57784-1_12},
editor = {Kaltenbacher, B. and Schuster, T. and Wald, A.},
pages = {323--376},
publisher = {Springer Nature},
year = {2021},
}
(preprint)
F. Faucher, M. V. de Hoop and O. Scherzer Reciprocity-gap misfit functional for Distributed Acoustic Sensing, combining data from passive and active sources Geophysics, 86(2):R211–R220, 2021 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FauHooSch20,
author = {Faucher, F. and de Hoop, M.~V. and Scherzer, O.},
title = {Reciprocity-gap misfit functional for Distributed Acoustic Sensing, combining data from passive and active sources},
doi = {10.1190/geo2020-0305.1},
journal = {Geophysics},
fjournal = {Geophysics},
number = {2},
pages = {R211--R220},
pdf = {https://library.seg.org/doi/pdf/10.1190/geo2020-0305.1},
url = {https://library.seg.org/doi/10.1190/geo2020-0305.1},
volume = {86},
year = {2021},
}
(preprint)
B. Kaltenbacher, T. T. N. Nguyen and O. Scherzer The Tangential Cone Condition for Some Coefficient Identification Model Problems in Parabolic PDEsIn B. Kaltenbacher, T. Schuster and A. Wald, editors, Time-dependent Problems in Imaging and Parameter Identification, 121–163. Springer, Cham, 2021 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@incollection{KalNguSch21,
author = {Kaltenbacher, B. and Nguyen, T.~T.~N. and Scherzer, O.},
title = {The Tangential Cone Condition for Some Coefficient Identification Model Problems in Parabolic PDEs},
booktitle = {Time-dependent Problems in Imaging and Parameter Identification},
doi = {10.1007/978-3-030-57784-1_5},
editor = {Kaltenbacher, B. and Schuster, T. and Wald, A.},
pages = {121--163},
publisher = {Springer, Cham},
year = {2021},
}
(preprint)(preprint)
A. Aspri, S. Banert, O. Öktem and O. Scherzer A Data-Driven Iteratively Regularized Landweber Iteration Numerical Functional Analysis and Optimization, 41(10):1190–1227, March, 2020 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{AspBanOekSch20,
author = {Aspri, A. and Banert, S. and Öktem, O. and Scherzer, O.},
title = {A Data-Driven Iteratively Regularized Landweber Iteration},
doi = {10.1080/01630563.2020.1740734},
journal = {Numer. Funct. Anal. Optim.},
fjournal = {Numerical Functional Analysis and Optimization},
month = mar,
number = {10},
pages = {1190--1227},
url = {https://www.tandfonline.com/doi/full/10.1080/01630563.2020.1740734},
volume = {41},
year = {2020},
}
(preprint)
F. Faucher and O. Scherzer Adjoint-state method for Hybridizable Discontinuous Galerkin discretization, application to the inverse acoustic wave problem Computer Methods in Applied Mechanics and Engineering, 372:113406, 2020 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FauSch20,
author = {Faucher, F. and Scherzer, O.},
title = {Adjoint-state method for Hybridizable Discontinuous Galerkin discretization, application to the inverse acoustic wave problem},
doi = {10.1016/j.cma.2020.113406},
journal = {Comput. Math. Appl. Mech. Eng.},
fjournal = {Computer Methods in Applied Mechanics and Engineering},
pages = {113406},
pdf = {https://www.sciencedirect.com/science/article/pii/S0045782520305910/pdfft?md5=61cf2f02dc6e28088779423ce89d3369&pid=1-s2.0-S0045782520305910-main.pdf},
url = {https://www.sciencedirect.com/science/article/pii/S0045782520305910?via%3Dihub},
volume = {372},
year = {2020},
}
(preprint)
A. Aspri, E. Beretta, O. Scherzer and M. Muszkieta Asymptotic Expansions for Higher Order Elliptic Equations with an Application to Quantitative Photoacoustic Tomography SIAM Journal on Imaging Sciences, 13(4):1781–1833, 2020 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{AspBerSchMus20,
author = {Aspri, A. and Beretta, E. and Scherzer, O. and Muszkieta, M.},
title = {Asymptotic Expansions for Higher Order Elliptic Equations with an Application to Quantitative Photoacoustic Tomography},
doi = {10.1137/20m1317062},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {4},
pages = {1781--1833},
volume = {13},
year = {2020},
}
(preprint)
A. Aspri, Y. Korolev and O. Scherzer Data driven regularization by projection Inverse Problems, 36(12):125009, December, 2020 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{AspKorSch20,
author = {Aspri, A. and Korolev, Y. and Scherzer, O.},
title = {Data driven regularization by projection},
doi = {10.1088/1361-6420/abb61b},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
month = dec,
number = {12},
pages = {125009},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/abb61b/pdf},
url = {https://iopscience.iop.org/article/10.1088/1361-6420/abb61b},
volume = {36},
year = {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 ( | Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )
| Subprojects: Multi-Modal Imaging + Tomography in Astronomy + Tomography with Uncertainties | PDF )@article{SheKraHubDreSch20,
author = {Sherina, E. and Krainz, L. and Hubmer, S. and Drexler, W. and Scherzer, O.},
title = {Displacement field estimation from {OCT} images utilizing speckle information with applications in quantitative elastography},
doi = {10.1088/1361-6420/abaf65},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {12},
pages = {124003},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/abaf65/pdf},
url = {https://iopscience.iop.org/article/10.1088/1361-6420/abaf65},
volume = {36},
year = {2020},
}
F. Faucher, O. Scherzer and H. Barucq Eigenvector Models for Solving the Seismic Inverse Problem for the Helmholtz Equation Geophysical Journal International, 221:394–414, January, 2020 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{FauSchBar20,
author = {Faucher, F. and Scherzer, O. and Barucq, H.},
title = {Eigenvector Models for Solving the Seismic Inverse Problem for the Helmholtz Equation},
doi = {10.1093/gji/ggaa009},
issue = {1},
journal = {Geophys. J. Int.},
fjournal = {Geophysical Journal International},
month = jan,
pages = {394--414},
pdf = {https://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggaa009/31766660/ggaa009.pdf},
url = {https://academic.oup.com/gji/article/221/1/394/5698305},
volume = {221},
year = {2020},
}
P. Elbau, M. Ritsch-Marte, O. Scherzer and D. Schmutz Motion Reconstruction for Optical Tomography of Trapped Objects Inverse Problems, 36(4):044004, 2020 ( | Subprojects: Quantitative Coupled Physics Imaging + Imaging of Trapped Particles + Tomography with Uncertainties | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Imaging of Trapped Particles + Tomography with Uncertainties | PDF )@article{ElbRitSchSchm20,
author = {Elbau, P. and Ritsch-Marte, M. and Scherzer, O. and Schmutz, D.},
title = {Motion Reconstruction for Optical Tomography of Trapped Objects},
doi = {10.1088/1361-6420/ab67db},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {4},
pages = {044004},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab67db/pdf},
url = {https://iopscience.iop.org/article/10.1088/1361-6420/ab67db},
volume = {36},
year = {2020},
}
M. Melching and O. Scherzer Regularization with metric double integrals for vector tomography Journal of Inverse and Ill-Posed Problems, 28(6):857–875, 2020 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{MelSch20,
author = {Melching, M. and Scherzer, O.},
title = {Regularization with metric double integrals for vector tomography},
doi = {10.1515/jiip-2019-0084},
journal = {J. Inverse Ill-Posed Probl.},
fjournal = {Journal of Inverse and Ill-Posed Problems},
number = {6},
pages = {857--875},
pdf = {https://www.degruyter.com/document/doi/10.1515/jiip-2019-0084/pdf},
url = {https://www.degruyter.com/document/doi/10.1515/jiip-2019-0084/html},
volume = {28},
year = {2020},
}
A. Beigl, O. Scherzer, J. Sogn and W. Zulehner Preconditioning Inverse Problems for Hyperbolic Equations with Applications to Photoacoustic Tomography Inverse Problems, 36(1):014002, December, 2019 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{BeiSchSogZul19,
author = {Beigl, A. and Scherzer, O. and Sogn, J. and Zulehner, W.},
title = {Preconditioning Inverse Problems for Hyperbolic Equations with Applications to Photoacoustic Tomography},
doi = {10.1088/1361-6420/ab3d08},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
month = dec,
number = {1},
pages = {014002},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ab3d08/pdf},
url = {https://iopscience.iop.org/article/10.1088/1361-6420/ab3d08},
volume = {36},
year = {2019},
}
R. Ciak, M. Melching and O. Scherzer Regularization with Metric Double Integrals of Functions with Values in a Set of Vectors Journal of Mathematical Imaging and Vision, 2019 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{CiaMelSch19,
author = {Ciak, R. and Melching, M. and Scherzer, O.},
title = {Regularization with Metric Double Integrals of Functions with Values in a Set of Vectors},
doi = {10.1007/s10851-018-00869-6},
journal = {J. Math. Imaging Vision},
fjournal = {Journal of Mathematical Imaging and Vision},
pdf = {https://link.springer.com/content/pdf/10.1007%2Fs10851-018-00869-6.pdf},
url = {https://link.springer.com/article/10.1007/s10851-018-00869-6},
year = {2019},
}
C. Kirisits and O. Scherzer A Range Condition for Polyconvex Variational Regularization Numerical Functional Analysis and Optimization, 39(10):1064-1076, 2018 ( | Subproject: Tomography with Uncertainties | PDF )
| Subproject: Tomography with Uncertainties | PDF )@article{KirSch18,
author = {Kirisits, C. and Scherzer, O.},
title = {A Range Condition for Polyconvex Variational Regularization},
doi = {10.1080/01630563.2018.1467447},
journal = {Numer. Funct. Anal. Optim.},
fjournal = {Numerical Functional Analysis and Optimization},
number = {10},
pages = {1064-1076},
pdf = {https://www.tandfonline.com/doi/pdf/10.1080/01630563.2018.1467447},
url = {https://www.tandfonline.com/doi/full/10.1080/01630563.2018.1467447},
volume = {39},
year = {2018},
}
(preprint)
A. Beigl, P. Elbau, K. Sadiq and O. Scherzer Quantitative Photoacoustic Imaging in the Acoustic Regime using SPIM Inverse Problems, 35(4):, April, 2018 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties | PDF )@article{BeiElbSadSch18,
author = {Beigl, A. and Elbau, P. and Sadiq, K. and Scherzer, O.},
title = {Quantitative Photoacoustic Imaging in the Acoustic Regime using SPIM},
doi = {10.1088/1361-6420/aab584},
eid = {054003},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
month = apr,
number = {4},
volume = {35},
year = {2018},
}
(preprint)Ultra-high Resolution Microscopy (F6809)
M. C. Schneider, F. Hinterer, A. Jesacher and G. J. Schütz Interactive simulation and visualization of point spread functions in single molecule imaging Optics Communications, 560:130463, 2024 ( | Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )@article{SchnHinJesSchu24,
author = {Schneider, M.~C. and Hinterer, F. and Jesacher, A. and Sch{\"u}tz, G.~J.},
title = {Interactive simulation and visualization of point spread functions in single molecule imaging},
doi = {10.1016/j.optcom.2024.130463},
journal = {Opt. Commun.},
fjournal = {Optics Communications},
pages = {130463},
pdf = {https://www.sciencedirect.com/science/article/pii/S0030401824002001},
volume = {560},
year = {2024},
}
F. Hinterer, M. C. Schneider, S. Hubmer, M. López-Martínez, R. Ramlau and G. J. Schütz Localization of fixed dipoles at high precision by accounting for sample drift during illumination Applied Physics Letters, 123(2):, 2023 ( | Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )@article{HinSchnHubLopRam23,
author = {Hinterer, F. and Schneider, M.~C. and Hubmer, S. and L{\'o}pez-Mart{\'i}nez, M. and Ramlau, R. and Sch{\"u}tz, G.~J.},
title = {Localization of fixed dipoles at high precision by accounting for sample drift during illumination},
doi = {10.1063/5.0137834},
journal = {Appl. Phys. Lett.},
fjournal = {Applied Physics Letters},
number = {2},
pdf = {https://pubs.aip.org/aip/apl/article-pdf/doi/10.1063/5.0137834/18042148/023703_1_5.0137834.pdf},
volume = {123},
year = {2023},
}
M. C. Schneider and G. J. Schütz Don't Be Fooled by Randomness: Valid p-Values for Single Molecule Microscopy Frontiers in Bioinformatics, 2:, 2022 ( | Subproject: Ultra-high Resolution Microscopy | PDF )
| Subproject: Ultra-high Resolution Microscopy | PDF )@article{SchnSchu22,
author = {Schneider, M.~C. and Sch{\"u}tz, G.~J.},
title = {Don't Be Fooled by Randomness: Valid p-Values for Single Molecule Microscopy},
doi = {10.3389/fbinf.2022.811053},
journal = {Front. Bioinform.},
fjournal = {Frontiers in Bioinformatics},
pdf = {https://www.frontiersin.org/articles/10.3389/fbinf.2022.811053/full},
volume = {2},
year = {2022},
}
F. Hinterer, M. C. Schneider, S. Hubmer, M. López-Martinez, P. Zelger, et. al. Robust and bias-free localization of individual fixed dipole emitters achieving the Cramér Rao bound for applications in cryo-single molecule localization microscopy PLoS ONE, 17(2):e0263500, 2022 ( | Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography in Astronomy + Ultra-high Resolution Microscopy | PDF )@article{HinSchnHubLopZel22,
author = {Hinterer, F. and Schneider, M.~C. and Hubmer, S. and L{\'o}pez-Martinez, M. and Zelger, P. and Jesacher, A. and Ramlau, R. and Sch{\"u}tz, G.~J.},
title = {Robust and bias-free localization of individual fixed dipole emitters achieving the Cram{\'e}r Rao bound for applications in cryo-single molecule localization microscopy},
doi = {10.1371/journal.pone.0263500},
editor = {Cebecauer, M.},
journal = {{PLoS} {ONE}},
fjournal = {{PLoS} {ONE}},
number = {2},
pages = {e0263500},
pdf = {https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0263500&type=printable},
volume = {17},
year = {2022},
}
M. C. Schneider, R. Telschow, G. Mercier, M. López-Martínez, O. Scherzer and G. J. Schütz A workflow for sizing oligomeric biomolecules based on cryo single molecule localization microscopy PLoS ONE, 16(1):e0245693, 2021 ( | Subprojects: Tomography with Uncertainties + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography with Uncertainties + Ultra-high Resolution Microscopy | PDF )@article{SchnTelMerLopSch21,
author = {Schneider, M.~C. and Telschow, R. and Mercier, G. and L{\'o}pez-Mart{\'i}nez, M. and Scherzer, O. and Schütz, G.~J. },
title = {A workflow for sizing oligomeric biomolecules based on cryo single molecule localization microscopy},
doi = {10.1371/journal.pone.0245693},
journal = {{PLoS} {ONE}},
fjournal = {{PLoS} {ONE}},
number = {1},
pages = {e0245693},
pdf = {https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0245693&type=printable},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0245693},
volume = {16},
year = {2021},
}
(preprint)
M. López-Martínez, G. Mercier, K. Sadiq, O. Scherzer, M. Schneider, et. al. Inverse Problems of Single Molecule Localization MicroscopyIn B. Kaltenbacher, T. Schuster and A. Wald, editors, Time-dependent Problems in Imaging and Parameter Identification, 323–376. Springer Nature, 2021 ( | Subprojects: Tomography with Uncertainties + Ultra-high Resolution Microscopy | PDF )
| Subprojects: Tomography with Uncertainties + Ultra-high Resolution Microscopy | PDF )@incollection{LopMerSadSchSchn21,
author = {L{\'o}pez-Mart{\'i}nez, M. and Mercier, G. and Sadiq, K. and Scherzer, O. and Schneider, M. and Schotland, J.~C. and Sch{\"u}tz, G.~J. and Telschow, R.},
title = {Inverse Problems of Single Molecule Localization Microscopy},
booktitle = {Time-dependent Problems in Imaging and Parameter Identification},
doi = {10.1007/978-3-030-57784-1_12},
editor = {Kaltenbacher, B. and Schuster, T. and Wald, A.},
pages = {323--376},
publisher = {Springer Nature},
year = {2021},
}
(preprint)
G. J. Schütz and M. C. Schneider Single-molecule localisation microscopyIn Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 1: Part I: Ex vivo biological imaging, 2021 ( | Subproject: Ultra-high Resolution Microscopy | PDF )
| Subproject: Ultra-high Resolution Microscopy | PDF )@incollection{SchuSchn21,
author = {Sch{\"u}tz, G.~J. and Schneider, M.~C.},
title = {Single-molecule localisation microscopy},
booktitle = {Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 1: Part I: Ex vivo biological imaging},
doi = {10.1088/978-0-7503-3059-6ch18},
pdf = {https://tomography.univie.ac.at/p/BookChapter_SMLM_SchneiderSchuetz.pdf},
year = {2021},
}
R. Platzer, B. K. Rossboth, M. C. Schneider, E. Sevcsik, F. Baumgart, et. al. Unscrambling fluorophore blinking for comprehensive cluster detection via photoactivated localization microscopy Nature Communications, 11(1):, 2020 ( | Subproject: Ultra-high Resolution Microscopy | PDF )
| Subproject: Ultra-high Resolution Microscopy | PDF )@article{PlaRosSchnSevBau20,
author = {Platzer, R. and Rossboth, B.~K. and Schneider, M.~C. and Sevcsik, E. and Baumgart, F. and Stockinger, H. and Sch{\"u}tz, G.~J. and Huppa, J.~B. and Brameshuber, M.},
title = {Unscrambling fluorophore blinking for comprehensive cluster detection via photoactivated localization microscopy},
doi = {10.1038/s41467-020-18726-9},
journal = {Nat. Commun.},
fjournal = {Nature Communications},
number = {1},
pdf = {https://www.nature.com/articles/s41467-020-18726-9.pdf},
volume = {11},
year = {2020},
}
A. M. Arnold, M. C. Schneider, Ch. Hüsson, R. Sablatnig, M. Brameshuber, et. al. Verifying molecular clusters by 2-color localization microscopy and significance testing Scientific Reports, 10(1):, 2020 ( | Subproject: Ultra-high Resolution Microscopy | PDF )
| Subproject: Ultra-high Resolution Microscopy | PDF )@article{ArnSchnHusSabBra20,
author = {Arnold, A.~M. and Schneider, M.~C. and H{\"u}sson, Ch. and Sablatnig, R. and Brameshuber, M. and Baumgart, F. and Sch{\"u}tz, G.~J.},
title = {Verifying molecular clusters by 2-color localization microscopy and significance testing},
doi = {10.1038/s41598-020-60976-6},
journal = {Sci. Rep.},
fjournal = {Scientific Reports},
number = {1},
pdf = {https://www.nature.com/articles/s41598-020-60976-6.pdf},
volume = {10},
year = {2020},
}
T. Váradi, M. Schneider, E. Sevcsik, D. Kiesenhofer, F. Baumgart, et. al. Homo- and Heteroassociations Drive Activation of ErbB3 Biophysical Journal, 117(10):1935–1947, 2019 ( | Subproject: Ultra-high Resolution Microscopy | PDF )
| Subproject: Ultra-high Resolution Microscopy | PDF )@article{VarSchnSevKieBau19,
author = {V{\'a}radi, T. and Schneider, M. and Sevcsik, E. and Kiesenhofer, D. and Baumgart, F. and Batta, G. and Kov{\'a}cs, T. and Platzer, R. and Huppa, J.~B. and Sz{\"o}ll{\H{o}}si, J. and Sch{\"u}tz, G.~J. and Brameshuber, M. and Nagy, P.},
title = {Homo- and Heteroassociations Drive Activation of~{ErbB}3},
doi = {10.1016/j.bpj.2019.10.001},
journal = {Biophys. J.},
fjournal = {Biophysical Journal},
number = {10},
pages = {1935--1947},
pdf = {https://www.cell.com/biophysj/fulltext/S0006-3495(19)30829-X#},
volume = {117},
year = {2019},
}
F. Baumgart, M. Schneider and G. J. Schütz How T Cells Do the “Search for the Needle in the Haystack” Frontiers in Physics, 7:, 2019 ( | Subproject: Ultra-high Resolution Microscopy | PDF )
| Subproject: Ultra-high Resolution Microscopy | PDF )@article{BauSchnSchu19,
author = {Baumgart, F. and Schneider, M. and Sch{\"u}tz, G.~J.},
title = {How T Cells Do the {\textquotedblleft}Search for the Needle in the Haystack{\textquotedblright}},
doi = {10.3389/fphy.2019.00011},
journal = {Front. Phys.},
fjournal = {Frontiers in Physics},
pdf = {https://www.frontiersin.org/articles/10.3389/fphy.2019.00011/pdf},
volume = {7},
year = {2019},
}
Motion Detection in Tomography and Microscopy (F6810)
M. Quellmalz, L. Buecher and G. Steidl Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group Journal of Mathematical Imaging and Vision, 66(6):951–976, 2024 ( | Subproject: Motion Detection in Tomography and Microscopy | PDF )
| Subproject: Motion Detection in Tomography and Microscopy | PDF )@article{QueBueSte24,
author = {Quellmalz, M. and Buecher, L. and Steidl, G.},
title = {Parallelly Sliced Optimal Transport on Spheres and on the Rotation Group},
doi = {10.1007/s10851-024-01206-w},
journal = {J. Math. Imaging Vision},
fjournal = {Journal of Mathematical Imaging and Vision},
number = {6},
pages = {951--976},
pdf = {https://link.springer.com/content/pdf/10.1007/s10851-024-01206-w.pdf},
volume = {66},
year = {2024},
}
(preprint)
M. Quellmalz, L. Weissinger, S. Hubmer and P. D. Erchinger A Frame Decomposition of the Funk-Radon TransformIn Lecture Notes in Computer Science, 42–54, 2023 ( | Subprojects: Tomography in Astronomy + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Tomography in Astronomy + Motion Detection in Tomography and Microscopy | PDF )@incollection{QueWeiHubErc23,
author = {Quellmalz, M. and Weissinger, L. and Hubmer, S. and Erchinger, P.~D.},
title = {A Frame Decomposition of the Funk-Radon Transform},
booktitle = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-031-31975-4_4},
pages = {42--54},
year = {2023},
}
(preprint)
S. Mildenberger and M. Quellmalz A double Fourier sphere method for d-dimensional manifolds Sampling Theory, Signal Processing, and Data Analysis, 21(2):, 2023 ( | Subproject: Motion Detection in Tomography and Microscopy | PDF )
| Subproject: Motion Detection in Tomography and Microscopy | PDF )@article{MilQue23,
author = {Mildenberger, S. and Quellmalz, M.},
title = {A double Fourier sphere method for d-dimensional manifolds},
doi = {10.1007/s43670-023-00064-8},
journal = {Sampl. Theory Signal Process. Data Anal.},
fjournal = {Sampling Theory, Signal Processing, and Data Analysis},
number = {2},
pdf = {https://link.springer.com/content/pdf/10.1007/s43670-023-00064-8.pdf},
volume = {21},
year = {2023},
}
(preprint)
M. Quellmalz, P. Elbau, O. Scherzer and G. Steidl Motion Detection in Diffraction Tomography by Common Circle Methods Mathematics of Computation, 2023 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )@article{QueElbSchSte23,
author = {Quellmalz, M. and Elbau, P. and Scherzer, O. and Steidl, G.},
title = {Motion Detection in Diffraction Tomography by Common Circle Methods},
doi = {10.1090/mcom/3869},
journal = {Math. Comp.},
fjournal = {Mathematics of Computation},
year = {2023},
}
(preprint)
D. Schmutz, P. Elbau, M. Quellmalz, M. Ritsch-Marte, O. Scherzer and Steidl G. Rigid Motion Reconstruction in Parallel Beam and Diffraction TomographyIn Oberwolfach Reports: Tomographic Inverse Problems - Mathematical Challenges and Novel Applications, (21)41–43. Mathematisches Forschungsinstitut Oberwolfach, 2023 ( | Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Quantitative Coupled Physics Imaging + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )@inproceedings{SchmElbQueRitSch23,
author = {Schmutz, D. and Elbau, P. and Quellmalz, M. and Ritsch-Marte, M. and Scherzer, O. and Steidl G.},
title = {Rigid Motion Reconstruction in Parallel Beam and Diffraction Tomography},
booktitle = {Oberwolfach Reports: Tomographic Inverse Problems - Mathematical Challenges and Novel Applications},
number = {21},
pages = {41--43},
pdf = {https://publications.mfo.de/bitstream/handle/mfo/4061/OWR_2023_21.pdf},
publisher = {Mathematisches Forschungsinstitut Oberwolfach},
url = {https://publications.mfo.de/handle/mfo/4061},
year = {2023},
}
(preprint)
M. Quellmalz, R. Beinert and G. Steidl Sliced optimal transport on the sphere Inverse Problems, 39(10):105005, 2023 ( | Subproject: Motion Detection in Tomography and Microscopy | PDF )
| Subproject: Motion Detection in Tomography and Microscopy | PDF )@article{QueBeiSte23,
author = {Quellmalz, M. and Beinert, R. and Steidl, G.},
title = {Sliced optimal transport on the sphere},
doi = {10.1088/1361-6420/acf156},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {10},
pages = {105005},
volume = {39},
year = {2023},
}
(preprint)
R. Beinert and M. Quellmalz Total Variation‐Based Reconstruction and Phase Retrieval for Diffraction Tomography with an Arbitrarily Moving Object Proceedings in Applied Mathematics and Mechanics, 22(1):, 2023 ( | Subproject: Motion Detection in Tomography and Microscopy | PDF )
| Subproject: Motion Detection in Tomography and Microscopy | PDF )@article{BeiQue23,
author = {Beinert, R. and Quellmalz, M.},
title = {Total Variation‐Based Reconstruction and Phase Retrieval for Diffraction Tomography with an Arbitrarily Moving Object},
doi = {10.1002/pamm.202200135},
journal = {Proc. Appl. Math. Mech.},
fjournal = {Proceedings in Applied Mathematics and Mechanics},
number = {1},
pdf = {https://onlinelibrary.wiley.com/doi/epdf/10.1002/pamm.202200135},
volume = {22},
year = {2023},
}
F. A. Ba and M. Quellmalz Accelerating the Sinkhorn Algorithm for Sparse Multi-Marginal Optimal Transport via Fast Fourier Transforms Algorithms, 15(9):311, 2022 ( | Subproject: Motion Detection in Tomography and Microscopy | PDF )
| Subproject: Motion Detection in Tomography and Microscopy | PDF )@article{BaQue22,
author = {Ba, F.~A. and Quellmalz, M.},
title = {Accelerating the Sinkhorn Algorithm for Sparse Multi-Marginal Optimal Transport via Fast Fourier Transforms},
doi = {10.3390/a15090311},
journal = {Algorithms},
fjournal = {Algorithms},
number = {9},
pages = {311},
pdf = {https://page.math.tu-berlin.de/~quellm/paper/algorithms-15-00311.pdf},
volume = {15},
year = {2022},
}
(preprint)
R. Beinert and M. Quellmalz Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography SIAM Journal on Imaging Sciences, 15(3):1373–1399, 2022 ( | Subproject: Motion Detection in Tomography and Microscopy | PDF )
| Subproject: Motion Detection in Tomography and Microscopy | PDF )@article{BeiQue22,
author = {Beinert, R. and Quellmalz, M.},
title = {Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography},
doi = {10.1137/22m1474382},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {3},
pages = {1373--1399},
volume = {15},
year = {2022},
}
(preprint)
C. Kirisits, M. Quellmalz, M. Ritsch-Marte, O. Scherzer, E. Setterqvist and G. Steidl Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations Inverse Problems, 37(11):115002, 2021 ( | Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )
| Subprojects: Imaging of Trapped Particles + Tomography with Uncertainties + Motion Detection in Tomography and Microscopy | PDF )@article{KirQueRitSchSet21,
author = {Kirisits, C. and Quellmalz, M. and Ritsch-Marte, M. and Scherzer, O. and Setterqvist, E. and Steidl, G.},
title = {Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations},
doi = {10.1088/1361-6420/ac2749},
journal = {Inverse Probl.},
fjournal = {Inverse Problems},
number = {11},
pages = {115002},
pdf = {https://iopscience.iop.org/article/10.1088/1361-6420/ac2749/pdf},
volume = {37},
year = {2021},
}
Advancing Extragalactic Archeology through Novel Inversion Techniques (F6811)
(preprint)
F. Hinterer, S. Hubmer, P. Jethwa, K. M. Soodhalter, G. van de Ven and R. Ramlau A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology SIAM Journal on Imaging Sciences, 16(1):192–222, 2023 ( | Subprojects: Tomography in Astronomy + Advancing Extragalactic Archeology through Novel Inversion Techniques | PDF )
| Subprojects: Tomography in Astronomy + Advancing Extragalactic Archeology through Novel Inversion Techniques | PDF )@article{HinHubJetSooVen23,
author = {Hinterer, F. and Hubmer, S. and Jethwa, P. and Soodhalter, K.~M. and van de Ven, G. and Ramlau, R.},
title = {A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology},
doi = {10.1137/22m1503002},
journal = {{SIAM} J. Imaging Sciences},
fjournal = {{SIAM} Journal on Imaging Sciences},
number = {1},
pages = {192--222},
volume = {16},
year = {2023},
}
(preprint)
F. Parzer, P. Jethwa, A. Boecker, M. Alfaro-Cuello, O. Scherzer and G. van de Ven Uncertainty-aware blob detection with an application to integrated-light stellar population recoveries Astronomy & Astrophysics, 2023 ( | Subprojects: Tomography with Uncertainties + Advancing Extragalactic Archeology through Novel Inversion Techniques | PDF )
| Subprojects: Tomography with Uncertainties + Advancing Extragalactic Archeology through Novel Inversion Techniques | PDF )@article{ParJetBoeAlfSch23,
author = {Parzer, F. and Jethwa, P. and Boecker, A. and Alfaro-Cuello, M. and Scherzer, O. and van de Ven, G.},
title = {Uncertainty-aware blob detection with an application to integrated-light stellar population recoveries},
doi = {10.1051/0004-6361/202244739},
journal = {Astronom. and Astrophys.},
fjournal = {Astronomy {\&} Astrophysics},
pdf = {https://www.aanda.org/articles/aa/pdf/forth/aa44739-22.pdf},
year = {2023},
}
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