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most citedExplainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models

6 citations · 6 across the 4 of their papers we have counts for

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cs.CV2025

Unsupervised Segmentation of Micro-CT Scans of Polyurethane Structures By Combining Hidden-Markov-Random Fields and a U-Net

Julian Grolig, Lars Griem, Michael Selzer +4

Extracting digital material representations from images is a necessary prerequisite for a quantitative analysis of material properties. Different segmentation approaches have been…