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Found 2 papers, 1 papers with code
Invariant Representations in Deep Learning for Optoacoustic Imaging
Image reconstruction in optoacoustic tomography (OAT) is a trending learning task highly dependent on measured physical magnitudes present at sensing time.
Combining band-frequency separation and deep neural networks for optoacoustic imaging
In this paper we consider the problem of image reconstruction in optoacoustic tomography.
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