Publications

T. Lang, A. Heim, C. Heinzl, “Big Data Analytics for the Inspection of Battery Materials”, e-Journal of Nondestructive Testing, vol. 29, iss. 3, 2024, doi:10.58286/29226

P. Gänz, G. Yang, C. Clark, S. Kieß, T. Pienkny, A. Balles, A. Hölzing, P. Tafforeau, S. Simon, “Denoising of CT Projections Exploiting Spectral and Angular Information for Multispectral Computed Tomography”, e-Journal of Nondestructive Testing, vol. 29, iss. 3, 2024, doi:10.58286/29262

D. Froning, E. Hoppe, R. Peters. “Characterization of Gas Diffusion Layers using Artificial Neural Networks”. European Hydrogen Energy Conference (EHEC), 6-8 March 2024, Bilbao, Spain, https://abstractsandregistration.ehec.info/site/speakers/?speakerdetail=209640&trackid=0&a=ehec2024

T. M. Wong, J. Moosmann, B. Zeller-Plumhoff, “VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces”, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024, pp. 53-62, doi:10.1109/cvprw63382.2024.00010

S. Kieß, P. Gänz, G. Yang, X. Liu, C. Cardona Marín, S. Simon, “Visualization of 4D Tomography TB Datasets on Standard Computers with 128GB RAM”, International Conference on Tomography of Materials and Structures, 2024, https://tomography2024.com/wp-content/uploads/2024/07/ICTMS2024-FULL-PROGRAM-AND-BOOK-OF-ABSTRACTS.pdf#page=112

T. Lang, C. Heinzl, “AI-Supported Big Data Analytics of Large Volumetric Datasets”, International Conference on Tomography of Materials and Structures (ICTMS), Cape Town, South Africa, 2024, https://tomography2024.com/wp-content/uploads/2024/07/ICTMS2024-FULL-PROGRAM-AND-BOOK-OF-ABSTRACTS.pdf#page=161

P. Gänz, S. Kieß, A. Balles, A. Hölzing, S. Rettenberger, S. Zabler, P. Tafforeau, S. Simon, “Multispectral CT with Classical Algorithms and Neural Network Denoising”, International Conference on Tomography of Materials and Structures (ICTMS), Cape Town, South Africa, 2024, https://tomography2024.com/wp-content/uploads/2024/07/ICTMS2024-FULL-PROGRAM-AND-BOOK-OF-ABSTRACTS.pdf#page=167

J. P. Moosmann, J. Ahrens, S. Irvine, T. Wong, C. Lucas, F. Beckmann, J. U. Hammel, F. Wieland, B. Zeller-Plumhoff, P. Heuser, “Machine learning for the reconstruction and analysis of synchrotron-radiation tomography data”, Developments in X-Ray Tomography XV, 2024, p. 33, doi:10.1117/12.3028018

F. Kirchner et al., “An ontology-based description of nano computed tomography measurements in electronic laboratory notebooks: from metadata schema to first user experience”, arXiv pre-print, 2025, doi:10.48550/arxiv.2501.07398

Y. Sun, Y. Huang, Z. Yang, L. Schneider, M. Thies, M. Gu, S. Mei, S. Bayer, F. G. Zöllner, A. Maier, “EAGLE: an edge-aware gradient localization enhanced loss for CT image reconstruction”, Journal of Medical Imaging, vol. 12, iss. 01, 2025, doi:10.1117/1.jmi.12.1.014001

S. Kieß et al., “A Framework for the AI-based visualization and analysis of massive amounts of 4D tomography data for end users of beamlines”, e-Journal of Nondestructive Testing, vol. 30, iss. 2, 2025, doi:10.58286/30717

T. Lang, A. Heim, C. Heinzl, “Machine learning-supported visual analytics for high resolution X-ray inspection of metal matrix composites”, Tomography of Materials and Structures, vol. 7, 2025, p. 100047, doi:10.1016/j.tmater.2024.100047

P. Gänz, S. Kieß, C. Marín, F. Ahmad, A. Alsaffar, G. Yang, X. Liu, Z. Wang, A. Balles, A. Hölzing, P. Tafforeau, S. Simon, “Multispectral synchrotron imaging with energy integrating detectors at ESRF-EBS BM18”, The 2025 Spring Meeting of the European Materials Research Society (E-MRS), Poster, 2025

A. Heim, T. Lang, C. Heinzl, “Exploring Large Quantities of Secondary Data from High-Resolution Synchrotron X-ray Computed Tomography Scans Using AccuStripes”, Journal of Nondestructive Evaluation, vol. 45, iss. 1, art. 8, 2025, doi:10.1007/s10921-025-01300-y

X. Yang et al., “Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram”, Optics Express, vol. 33, iss. 17, 2025, p. 35832, doi:10.1364/oe.569216

K. Ulrich et al., “Quantifying hygroscopic deformation in lignocellulosic tissues: a digital volume correlation tool comparison”, Frontiers in Plant Science, vol. 16, 2025, doi:10.3389/fpls.2025.1572745

T. Lang, C. Heinzl, “Quantifying the Impact of XCT Data Compression on Defect Shapes”, e-Journal of Nondestructive Testing, vol. 30, iss. 8, 2025, doi:10.58286/31388

P. Gänz, S. Kieß, J. Guhathakurta, P. Tafforeau, A. Balles, A. Hölzing, S. Zabler, S. Simon, “A Neural Network for Denoising Multispectral Tomography Data at BM18 of the European Synchrotron Radiation Facility”, e-Journal of Nondestructive Testing, vol. 30, iss. 8, 2025, doi:10.58286/31424

A. Gall, T. Lang, A. Heim, C. Heinzl, “Exploring 4D XCT Battery Discharging through Immersive Analytics”, e-Journal of Nondestructive Testing, vol. 31, iss. 3, 2026, doi:10.58286/32574

A. Heim, T. Lang, A. Gall, C. Heinzl, “VisGFX – A Visual Guidance Framework for XCT Simulation”, e-Journal of Nondestructive Testing, vol. 31, iss. 3, 2026, doi:10.58286/32578

Y. Sun, L. Schneider, S. Mei, C. Ye, M. Gu, F. Wagner, S. Bayer, A. Maier, “Interpretable Framework for Zero-shot 4D Low-dose CT Denoising: Filter2Noise-4D”, Informatik aktuell, Bildverarbeitung für die Medizin 2026, 2026, pp. 34-39, doi:10.1007/978-3-658-51100-5_7

Y. Sun et al., “Filter2Noise: a framework for interpretable and zero-shot low-dose CT image denoising”, Journal of Medical Imaging, vol. 13, iss. 02, 2026, doi:10.1117/1.jmi.13.2.024004

Y. Sun, L. Schneider, C. Ye, M. Gu, S. Mei, S. Bayer, A. Maier, “Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction”, arXiv pre-print, 2025, doi:10.48550/arxiv.2505.13579

Y. Sun, L. Schneider, A. Schwarz, M. Gu, S. Mei, C. Ye, S. Bayer, A. Maier, “LSTT: Latent Spatio-Temporal Transformer for Non-rigid Motion Compensation in CBCT”, Lecture Notes in Computer Science, Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis, 2025, pp. 76-86, doi:10.1007/978-3-032-06103-4_8

Y. Sun, L. Schneider, F. Fan, M. Thies, M. Gu, S. Mei, Y. Zhou, S. Bayer, A. Maier, “Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series”, arXiv pre-print, 2024, doi:10.48550/arxiv.2401.16039

Y. Sun, L. Schneider, M. Gu, S. Mei, S. Bayer, A. K. Maier, “Compensating CBCT Motion Artifacts with Any 2D Generative Model”, e-Journal of Nondestructive Testing, vol. 30, iss. 2, 2025, doi:10.58286/30726

J. Stebani, “Implementation and benchmarking FFT-based Digital Volume Correlation for Synchrotron Micro-CT Analysis”, 15th Conference on Industrial Computed Tomography (iCT), Poster, 2026