… reconstruction and highly integrated into the production line so … computed tomography
reconstruction is a technique used to … line speed of the convey belt, R T refers to the reconstruction …

… High-resolution X-ray computed tomography (XCT) has not been effective for this task due …
We propose a deep learning-based approach for rapid XCT acquisition and reconstruction of …

… a new method to detect internal component assembly fault, by X-ray computed tomography
(… A Quadro M4000 graphics processing unit (GPU) is used to speed up data processing. After …

… of an at-line X-ray computed tomography (XCT) inspection … based on deep learning that
requires an initial teaching phase. … This paper showed the successful implementation of fast …

… Nevertheless, by considering a deep-learning-based image-reconstruction-algorithm, we …
the deep-learning-based imagereconstruction-algorithm will contribute to the faster verification …

… Computed tomography (CT) image reconstruction, a … quality images in a fast and reliable
reconstruction process. In … reconstruction methods such as the iterative reconstruction. …

… image reconstruction from line integrals remains an intellectual challenge. In this paper, a
deep learning method … to accurately reconstruct images for previously solved and unsolved CT …

… -driven approaches like deep learning, CT will undoubtedly … an aim of speed pursuit and
application to dynamic process … raw data and reconstructed images with deep learning (from …

… -time inspection because of the reconstruction speed. To address the above … reconstruction
of volumetric computed tomography images from a single projection view via deep learning…

… paved the way for industrial computed tomography (CT) to … VoluMax enables full integration
in the production line of, eg the … detected using a machine learning based anomaly detection. …