Deep learning for photoacoustic tomography from sparse data
Author:
Affiliation:
1. Department of Mathematics, University of Innsbruck, Innsbruck, Austria
Funder
Austrian Science Fund
Publisher
Informa UK Limited
Subject
Applied Mathematics,Computer Science Applications,General Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/17415977.2018.1518444
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