A. Grießer, R. Westerteiger, E. Glatt, H. Hagen, A. Wiegmann, Identification and analysis of fibers in ultra-large micro-CT scans of nonwoven textiles using deep learning, The Journal of The Textile Institute, p. 1647–1657 (2022), https://doi.org/10.1080/00405000.2022.2145429  

A. Grießer, R. Westerteiger, E. Glatt, H. Hagen, A. Wiegmann, Deep learning based segmentation of binder and fibers in gas diffusion layers. Next Materials 6, p. 100411–100420 (2025), https://doi.org/10.1016/j.nxmate.2024.100411  

M. Peterson, E. Glatt, Computation of fiber diameters from discretized binary images with detailed error estimation, Report Series of Math2Market GmbH, No. M2M-2021-01 (2021), https://doi.org/10.1007/s11242-024-02079-8

A. Paszke, et. al, PyTorch: An Imperative Style, High-Performance Deep Learning Library (2019), https://doi.org/10.48550/arXiv.1912.01703

O. Ronneberger, P. Fischer, T. Brox, U-Net: Convolutional networks for biomedical image segmentation, Medical Image Computing and Computer-Assisted Intervention (2015), https://doi.org/10.1007/978-3-319-24574-4_28