A plug-and-play iterative reconstruction framework with a learned artifact-removal prior and automatic regularization selection achieves fast, generalizable cone-beam XCT reconstructions on large industrial volumes.
The use of x-ray computed tomography for design and process modeling of aerospace composites: A review,
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A Fast, Scalable, and Robust Deep Learning-based Iterative Reconstruction Framework for Accelerated Industrial Cone-beam X-ray Computed Tomography
A plug-and-play iterative reconstruction framework with a learned artifact-removal prior and automatic regularization selection achieves fast, generalizable cone-beam XCT reconstructions on large industrial volumes.