activity
20182025
most citedAcousto-Electric Tomography with Total Variation Regularization

23 citations · 33 across the 7 of their papers we have counts for

collaborators

7 papers

math.NA2025

Dual-grid parameter choice method with application to image deblurring

Markus Juvonen, Bjørn Jensen, Ilmari Pohjola +2

Variational regularization of ill-posed inverse problems is based on minimizing the sum of a data fidelity term and a regularization term. The balance between them is tuned using a…

math.OC2022★ 3 cited

A nonsmooth primal-dual method with interwoven PDE constraint solver

Bjørn Jensen, Tuomo Valkonen

We introduce an efficient first-order primal-dual method for the solution of nonsmooth PDE-constrained optimization problems. We achieve this efficiency through not solving the PDE…

math.AP2022

Conductivity reconstruction from power density data in limited view

Bjørn Jensen, Kim Knudsen, Hjørdis Schlüter

In Acousto-Electric tomography, the objective is to extract information about the interior electrical conductivity in a physical body from knowledge of the interior power density d…

stat.AP2021

Efficient Uncertainty Quantification and Sensitivity Analysis in Epidemic Modelling using Polynomial Chaos

Bjørn Jensen, Allan P. Engsig-Karup, Kim Knudsen

In the political decision process and control of COVID-19 (and other epidemic diseases), mathematical models play an important role. It is crucial to understand and quantify the un…

math.NA2020★ 3 cited

Sound speed uncertainty in Acousto-Electric Tomography

Bjørn Christian Skov Jensen, Kim Knudsen

The goal in acousto-electric tomography (AET) is to reconstruct an image of the unknown electric conductivity in an object from exterior electrostatic currents and voltages that ar…

physics.med-ph2019★ 4 cited

Feasibility of Acousto-Electric Tomography

Bjørn Jensen, Adrian Kirkeby, Kim Knudsen

In acousto-electric tomography the goal is to reconstruct the electric conductivity in a domain from electrostatic boundary measurements of corresponding currents and voltages, whi…

math.OC2018★ 23 cited

Acousto-Electric Tomography with Total Variation Regularization

Bolaji James Adesokan, Bjørn Jensen, Bangti Jin +1

We study the numerical reconstruction problem in acousto-electric tomography of recovering the conductivity distribution in a bounded domain from interior power density data. We pr…