activity
20092024
most citedA New Sparsification and Reconstruction Strategy for Compressed Sensing Photoacoustic Tomography

32 citations · 114 across the 23 of their papers we have counts for

collaborators

28 papers

math.NA2024

Full Field Inversion of the Attenuated Wave Equation: Theory and Numerical Inversion

Ngoc Do, Markus Haltmeier, Richard Kowar +2

Standard photoacoustic tomography (PAT) provides data that consist of time-dependent signals governed by the wave equation, which are measured on an observation surface. In contras…

math.NA2023

The time dimensional reduction method to determine the initial conditions without the knowledge of damping coefficients

Thuy T. Le, Linh V. Nguyen, Loc H. Nguyen +1

This paper aims to reconstruct the initial condition of a hyperbolic equation with an unknown damping coefficient. Our approach involves approximating the hyperbolic equation's sol…

math.AP2021

Analysis for Full Field Photoacoustic Tomography with Variable Sound Speed

Linh V. Nguyen, Markus Haltmeier, Richard Kowar +1

Photoacoustic tomography (PAT) is a non-invasive imaging modality that requires recovering the initial data of the wave equation from certain measurements of the solution outside t…

math.NA2020

Sampling for the V-line Transform with Vertex in a Circle

Duy N. Nguyen, Linh Nguyen

In this paper, we consider a special V-line transform. It integrates a given function f over the V-lines whose centers are on a circle centered at the origin and the symmetric axes…

math.NA2020★ 1 cited

Regularization of Inverse Problems by Neural Networks

Markus Haltmeier, Linh V. Nguyen

Inverse problems arise in a variety of imaging applications including computed tomography, non-destructive testing, and remote sensing. The characteristic features of inverse probl…

math.NA2020

Sparse aNETT for Solving Inverse Problems with Deep Learning

Daniel Obmann, Linh Nguyen, Johannes Schwab +1

We propose a sparse reconstruction framework (aNETT) for solving inverse problems. Opposed to existing sparse reconstruction techniques that are based on linear sparsifying transfo…