15 citations · 28 across the 5 of their papers we have counts for
5 papers
Monitoring of water volume in a porous reservoir using seismic data: A 3D simulation study
Mahnaz Khalili, Peter Göransson, Jan S. Hesthaven +3
A potential framework to estimate the volume of water stored in a porous storage reservoir from seismic data is neural networks. In this study, the man-made groundwater reservoir i…
Deterministic and statistical methods for the characterisation of poroelastic media from multi-observation sound absorption measurements
Jacques Cuenca, Peter Göransson, Laurent De Ryck +1
This paper proposes a framework for the estimation of the transport and elastic properties of open-cell poroelastic media based on sound absorption measurements. The sought propert…
Coupled Elastic-Acoustic Modelling for Quantitative Photoacoustic Tomography
Hwan Goh, Timo Lahivaara, Tanja Tarvainen +4
Quantitative photoacoustic tomography (qPAT) is an imaging technique aimed at estimating chromophore concentrations inside tissues from photoacoustic images, which are formed by co…
A Bayesian approach to improving the Born approximation for inverse scattering with high contrast materials
Jari P. Kaipio, Tomi Huttunen, Teemu Luostari +2
Time harmonic inverse scattering using accurate forward models is often computationally expensive. On the other hand, the use of computationally efficient solvers, such as the Born…
Characterising poroelastic materials in the ultrasonic range - A Bayesian approach
Matti Niskanen, Olivier Dazel, Jean-Philippe Groby +2
Acoustic fields scattered by poroelastic materials contain key information about the materials' pore structure and elastic properties. Therefore, such materials are often character…