X-ray computed tomography (XCT) has been shown to be a reliable tool for quality
inspection, material evaluation, and dimensional measurement tasks across diverse …

The data driven industry 4.0 and increasing mass-customization of additive manufacturing
products require a flexible and high-throughput integration of a 100% quality inspection …

X-ray computed tomography (XCT) is a validated and frequently used tool to verify part
geometry and to perform a non-destructive inspection of additive manufacturing parts …

This paper presents an end-to-end deep-learning-based (DL-based) segmentation
technique for multi-energy sparse-view CT, where local CT reconstruction and segmentation …

The invasion of trunk-boring insects halts tree growth and causes tree death, making it a key
factor in forest destruction. To address the issue of low detection accuracy due to the small …

Spectral X-ray computed tomography (SXCT) is able to provide richer spectral information
than conventional X-ray CT, thereby improving the capability of discriminating materials in …

To address this issue of streak artifacts and noise caused by faster scanning in this paper,
this paper presents a prunable U-NET++ with hybrid attention and loss function (HAL …

With further research into neural networks, their scope of application is becoming
increasingly extensive. Among these, more neural network models are used in text …

This paper introduces a novel end-to-end deep-learning (DL)-based segmentation
approach for sparse-view CT with multi-energy data. Unlike conventional DL-based CT …