Our preprints can be found in the preprints section.
2024
Quadratic Neural Networks for Solving Inverse Problems Numerical Functional Analysis and Optimization, 112–135, 2024 ( | funding | PDF )
An Inversion Scheme for Elastic Diffraction Tomography Based on Mode Separation SIAM Journal on Applied Mathematics, 84(1):165–188, February, 2024 ( | funding | PDF )
2023
Technical note: Realization and uncertainty analysis for an adjustable 3D structured breast phantom in digital breast tomosynthesis Medical Physics, 50(8):4816–4824, 2023 ( | funding | PDF )
Artefact Indicator for Flow-based Temporal Interpolation of Power Doppler Ultrasound Proceedings in Applied Mathematics and Mechanics, 22(1):e202200090, 2023 ( | funding | PDF )
Quantitative inverse problem in visco-acoustic media under attenuation model uncertainty Journal of Computational Physics, 472:111685, January, 2023 ( | funding | PDF )
Uncertainty-aware blob detection with an application to integrated-light stellar population recoveries Astronomy & Astrophysics, 2023 ( | funding | PDF )
Motion Detection in Diffraction Tomography by Common Circle Methods Mathematics of Computation, 2023 ( | funding | PDF )
Gauss–Newton method for solving linear inverse problems with neural network coders Sampling Theory, Signal Processing, and Data Analysis, 21(2):, 2023 ( | funding | PDF )
2022
Diffraction Tomography, Fourier Reconstruction, and Full Waveform InversionIn Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2022 ( | funding | PDF )
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 ( | funding | PDF )
On convergence rates of adaptive ensemble Kalman inversion for linear ill-posed problems Numerische Mathematik, 2022 ( | funding | PDF )