Scherzer, Otmar
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1

Quadratic Neural Networks for Solving Inverse Problems:

Frischauf, Leon ; Scherzer, Otmar ; Shi, Cong
Numerical Functional Analysis and Optimization.  45 (2024)  2 - p. 112-135 , 2024
 
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2

Uncertainty Quantification for Scale-Space Blob Detection:

Parzer, Fabian ; Kirisits, Clemens ; Scherzer, Otmar
Journal of Mathematical Imaging and Vision.  66 (2024)  4 - p. 697-717 , 2024
 
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3

An Inversion Scheme for Elastic Diffraction Tomography Base..:

Mejri, Bochra ; Scherzer, Otmar
SIAM Journal on Applied Mathematics.  84 (2024)  1 - p. 165-188 , 2024
 
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5

Quantitative Optical Coherence Elastography: A Novel Intens..:

Krainz, Lisa ; Sherina, Ekaterina ; Hubmer, Simon...
IEEE Journal of Selected Topics in Quantum Electronics.  29 (2023)  4: Biophotonics - p. 1-16 , 2023
 
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6

Gauss–Newton method for solving linear inverse problems wit..:

Scherzer, Otmar ; Hofmann, Bernd ; Nashed, Zuhair
Sampling Theory, Signal Processing, and Data Analysis.  21 (2023)  2 - p. , 2023
 
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8

Quantitative inverse problem in visco-acoustic media under ..:

Faucher, Florian ; Scherzer, Otmar
Journal of Computational Physics.  472 (2023)  - p. 111685 , 2023
 
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11

Diffusion tensor regularization with metric double integral:

Frischauf, Leon ; Melching, Melanie ; Scherzer, Otmar
Journal of Inverse and Ill-posed Problems.  30 (2022)  2 - p. 163-190 , 2022
 
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14

Challenges for Optical Flow Estimates in Elastography:

, In: Lecture Notes in Computer Science; Scale Space and Variational Methods in Computer Vision,
Sherina, Ekaterina ; Krainz, Lisa ; Hubmer, Simon.. - p. 128-139 , 2021
 
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15

Convergence Rates of First- and Higher-Order Dynamics for S..:

Boţ, Radu ; Dong, Guozhi ; Elbau, Peter.
Foundations of Computational Mathematics.  22 (2021)  5 - p. 1567-1629 , 2021
 
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