CD Laboratory


Our preprints can be found in the preprints section.


S. Biberger, C. Kirisits, Ch. Wallinger, D. J. Buckton and O. Scherzer Motion-based temporal interpolations of power Doppler ultrasoundIn N. Bottenus and Ch. Boehm, editors, Medical Imaging 2024: Ultrasonic Imaging and Tomography, 12932:129321C, 2024 BibTeX | funding )
L. Frischauf, O. Scherzer and C. Shi Quadratic Neural Networks for Solving Inverse Problems Numerical Functional Analysis and Optimization, 112–135, 2024 BibTeX | funding | PDF )
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 BibTeX | funding | PDF )


E. Salomon, E. Unger, P. Homolka, L. Cockmartin, D. Petrov, F. Semturs, Ch. Songsaeng, K. Panagiotis, L. Vancoillie, M. Figl, A. Sommer, H. Bosmans and J. Hummel Technical note: Realization and uncertainty analysis for an adjustable 3D structured breast phantom in digital breast tomosynthesis Medical Physics, 50(8):4816–4824, 2023 BibTeX | funding | PDF )
S. Biberger, G. Mercier, Ch. Wallinger, D. Buckton and O. Scherzer Artefact Indicator for Flow-based Temporal Interpolation of Power Doppler Ultrasound Proceedings in Applied Mathematics and Mechanics, 22(1):e202200090, 2023 BibTeX | funding | PDF )
F. Faucher and O. Scherzer Quantitative inverse problem in visco-acoustic media under attenuation model uncertainty Journal of Computational Physics, 472:111685, January, 2023 BibTeX | funding | PDF )
F. Faucher and O. Scherzer Synthetic dataset for visco-acoustic imaging Data in Brief, 48:109199, 2023 BibTeX | funding | PDF )
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 BibTeX | funding | PDF )
M. Quellmalz, P. Elbau, O. Scherzer and G. Steidl Motion Detection in Diffraction Tomography by Common Circle Methods Mathematics of Computation, 2023 BibTeX | funding | PDF )
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 BibTeX | funding | PDF )


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 BibTeX | funding | PDF )
L. Krainz, E. Sherina, S. Hubmer, M. Liu, W. Drexler and O. Scherzer Quantitative Optical Coherence Elastography: A Novel Intensity-Based Inversion Method Versus Strain-Based Reconstructions IEEE Journal of Selected Topics in Quantum Electronics, 29(4: Biophotonics):1–16, July, 2022 BibTeX | funding | PDF )
F. Parzer and O. Scherzer On convergence rates of adaptive ensemble Kalman inversion for linear ill-posed problems Numerische Mathematik, 2022 BibTeX | funding | PDF )