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Citations

We kindly request that you cite the following article [A2], [A3], [A1], and [A4] if you use Xlearn.

A1

C. Shashank Kaira, Xiaogang Yang, Vincent De Andrade, Francesco De Carlo, William Scullin, Doga Gursoy, and Nikhilesh Chawla. Automated correlative segmentation of large transmission x-ray microscopy (txm) tomograms using deep learning. Materials Characterization, 142:203–210, 2018. URL: https://www.sciencedirect.com/science/article/pii/S1044580318301906, doi:https://doi.org/10.1016/j.matchar.2018.05.053.

A2

Xiaogang Yang, Vincent De Andrade, William Scullin, Eva L. Dyer, Narayanan Kasthuri, Francesco De Carlo, and Doğa Gürsoy. Low-dose x-ray tomography through a deep convolutional neural network. Scientific Reports, 8(1):2575, 2018. URL: https://doi.org/10.1038/s41598-018-19426-7 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5803233/pdf/41598_2018_Article_19426.pdf, doi:10.1038/s41598-018-19426-7.

A3

Xiaogang Yang, Francesco De Carlo, Charudatta Phatak, and Doga Gursoy. A convolutional neural network approach to calibrating the rotation axis for x-ray computed tomography. Journal of Synchrotron Radiation, 2017. URL: https://doi.org/10.1107/S1600577516020117 http://journals.iucr.org/s/issues/2017/02/00/vv5155/vv5155.pdf, doi:doi:10.1107/S1600577516020117.

A4

Xiaogang Yang, Maik Kahnt, Dennis Brückner, Andreas Schropp, Yakub Fam, Johannes Becher, Jan-Dierk Grunwaldt, Thomas L. Sheppard, and Christian G. Schroer. Tomographic reconstruction with a generative adversarial network. Journal of Synchrotron Radiation, 27(2):486–493, Mar 2020. URL: https://doi.org/10.1107/S1600577520000831, doi:10.1107/S1600577520000831.

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B42

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