activity
20122019
most citedA Bayesian approach to improving the Born approximation for inverse scattering with high contrast materials

15 citations · 18 across the 3 of their papers we have counts for

collaborators

5 papers

physics.comp-ph2019

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…

physics.app-ph2019

Estimating the material parameters of an inhomogeneous poroelastic plate from ultrasonic measurements in water

Matti Niskanen, Aroune Duclos, Olivier Dazel +3

The estimation of poroelastic material parameters based on ultrasound measurements is considered. The acoustical characterisation of poroelastic materials based on various measurem…

physics.comp-ph201915 cited

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…

math.OC2018

An Additive Approximation to Multiplicative Noise

Ruanui Nicholson, Jari P. Kaipio

Multiplicative noise models are often used instead of additive noise models in cases in which the noise variance depends on the state. Furthermore, when Poisson distributions with…

math-ph20123 cited

Reduced-order model for electrical impedance tomography based on proper orthogonal decomposition

Antti Lipponen, Aku Seppänen, Jari Kaipio

Electrical impedance tomography (EIT) is an imaging modality in which the conductivity distribution inside a target is reconstructed based on voltage measurements from the surface…