17 citations · 36 across the 4 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…
Model reduction in acoustic inversion by artificial neural network
Janne Koponen, Timo Lähivaara, Jari Kaipio +1
In ultrasound tomography, the speed of sound inside an object is estimated based on acoustic measurements carried out by sensors surrounding the object. An accurate forward model i…
Estimation of moisture content distribution in porous foam using microwave tomography with neural networks
Timo Lähivaara, Rahul Yadav, Guido Link +1
The use of microwave tomography (MWT) in an industrial drying process is demonstrated in this feasibility study with synthetic measurement data. The studied imaging modality is app…
Data-driven regularization parameter selection in dynamic MRI
Matti Hanhela, Olli Gröhn, Mikko Kettunen +3
In dynamic MRI, sufficient time resolution can often only be obtained using imaging protocols which produce undersampled data for each image in the time series. This has led to the…
Temporal Huber regularization for DCE-MRI
Matti Hanhela, Mikko Kettunen, Olli Gröhn +2
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is used to study microvascular structure and tissue perfusion. In DCE-MRI a bolus of gadolinium based contrast agent…