Inverse problem application in the field of biomedical image reconstruction

Variance Reduction Methods for High-Dimensional Optimal Control Problems

Image Deblurring using Radial Basis functions for Interpolating Weights of Spatially Variant Blur

Differential Equation Interpretation of Deep Neural Networks

A Trainable Conjugate Gradient Method for Image Reconstruction

Matrix Computations and Optimization for Spectral Computed Tomography

Reduced Models and Parallel Computing for Uncertainty Quantification in Cardiovascular Mathematics

Efficient Solvers for Nonlinear Problems in Imaging

Truncated Singular Value Decomposition Approximation for Structured Matrices via Kronecker Product Summation Decomposition