1. Digital rock physics benchmarks — Part I: Imaging and segmentation;Andrä;Comput. Geosci.,2013
2. Random 2.5D U-Net for fully 3D segmentation;Angermann,2019
3. Arns, J.Y., Sheppard, A.P., Arns, C.H., Knackstedt, M.A., Yelkhovsky, A., Pinczewski, W.V., 2007. Pore-level validation of representative pore networks obtained from micro-CT images. In: Proceedings of the International Symposium of the Society of Core Analysts Held in Calgary, Canada, 10-12 September, 2007.
4. Arthur, D., Vassilvitskii, S., 2007. K-Means++: The Advantages of Careful Seeding. In: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms. 2007, pp. 1027–1035.
5. Automated segmentation of computed tomography images of fiber-reinforced composites by deep learning;Badran;J. Mater. Sci.,2020