2020
[Elberfeld2020] T. Elberfeld, B. Fröhler, M. J. Emerson, C. Heinzl, J. Kastner, J. De Beenhouwer, and J. Sijbers, Efficient Parametric Curved Glass Fiber Representations, in 20th World Congress of Non-Destructive Testing (WCNDT), South Korea, 2020 (accepted, conference delayed to 2021 due to Covid-19).
[Froehler2020a] B. Fröhler, T. Elberfeld, T. Möller, H.-C. Hege, J. De Beenhouwer, J. Sijbers, J. Kastner, and C. Heinzl, Analysis and Comparison of Algorithms for the Tomographic Reconstruction of Curved Fibers”, in 10th Conference on Industrial Computed Tomography (iCT), 2020 (Talk).
[Froehler2020b] B. Fröhler, T. Elberfeld, T. Möller, H.-C. Hege, J. De Beenhouwer, J. Sijbers, J. Kastner, and C. Heinzl, Analysis and Comparison of Algorithms for the Tomographic Reconstruction of Curved Fibres, Nondestructive Testing and Evaluation, Vol. 35 (3), pp. 328-341, 2020, doi: 10.1080/10589759.2020.1774583 
(CC BY 4.0).
[Froehler2020c] Bernhard Fröhler, Torsten Möller, Hans-Christian Hege, Johann Kastner and Christoph Heinzl, SAFiRe: Sensitivity Analysis for Fiber Reconstruction (submitted to EuroVis 2021, review pending).
[Heinzl2020] C. Heinzl, Visual Computing in Materials Science, QUANTIM Hackathon at the Lund Institute of Advanced Neutron and X-Ray Science (LINXS), https://indico.linxs.lu.se/event/152/overview.
[VillarragaGomez2020] H. Villarraga-Gómez, A. Amirkhanov, C. Heinzl, and S.T. Smith, Assessing the effect of sample orientation on dimensional X-ray computed tomography through simulated and experimental data, Precision Engineering (submitted, review pending).
[Yosifov2020] M. Yosifov, P. Weinberger, B. Plank, M. Höglinger, B. Fröhler, J. Kastner, and C. Heinzl, Segmentation of Pores in Carbon Fibre Reinforced Polymers Using the U-Net Convolutional Neural Network, in 20th World Congress of Non-Destructive Testing (WCNDT), South Korea, 2020 (accepted, conference delayed to 2021 due to Covid-19).
2019
[DaCunhaMelo2019a] L. da Cunha Melo, B. Fröhler, J. Weissenböck, J. Kastner, and C. Heinzl., Multimodal Transfer Functions for Talbot-Lau Grating Interferometry Data, 9th International Symposium on Digital Industrial Radiology and Computed Tomography (DIR), Fürth, Germany, 2019. Full Paper (CC BY-ND 4.0).
[DaCunhaMelo2019b] L. Da Cunha Melo, B. Fröhler, J. Glinz, J. Kastner, and C. Heinzl, Exploration of Talbot-Lau Grating Interferometry Computed Tomography Data by Interactive Transfer Function Combination, in 5th Conference on X-ray and Neutron Phase Imaging with Gratings (XNPIG), Sendai, Japan, 2019 (Talk).
[Elberfeld2019a] T. Elberfeld, J. De Beenhouwer, and J. Sijbers, Fiber assignment by continuous tracking for parametric fiber reinforced polymer reconstruction, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), Vol. 11072, 2019. doi: 10.1117/12.2534836. Full Paper .
[Elberfeld2019b] T. Elberfeld, S. Bazrafkan, J. De Beenhouwer, and J. Sijbers, Mixed-Scale Dense Convolutional Neural Network based Improvement of Glass Fiber-reinforced Composite CT Images, 4th International Conference on Tomography of Materials & Structures (ICTMS), Cairns, Australia, 2019. Full Paper .
[Froehler2019a] B. Fröhler, T. Elberfeld, T. Möller, J. Weissenböck, J. De Beenhouwer, J. Sijbers, H-C. Hege, J. Kastner, and C. Heinzl, A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science, Computer Graphics Forum, Vol. 38 (3), pp. 273-283, 2019, doi: 10.1111/cgf.13688 (CC BY 4.0).
[Froehler2019b] B. Fröhler, J. Weissenböck, M. Schiwarth, J. Kastner, and C. Heinzl, open_iA: A tool for processing and visual analysis of industrial computed tomography datasets, Journal of Open Source Software, 4 (35), 1185, 2019, doi: 10.21105/joss.01185 (CC BY 4.0).
[Froehler2019c] B. Fröhler, L. da Cunha Melo, J. Weissenböck, J. Kastner, T. Möller, H-C. Hege, E. Gröller, J. Sanctorum, J. De Beenhouwer, J. Sijbers, and C. Heinzl, Tools for the Analysis of Datasets from X-Ray Computed Tomography based on Talbot-Lau Grating Interferometry, 9th Conference on Industrial Computed Tomography (iCT), Padova, Italy, 2019. Full Paper .
[Froehler2019d] B. Fröhler, Plank, B., Schiwarth, M., Kastner, J., and Heinzl, C., Analysis of Fiber-Reinforced Polymers with the open_iA Framework, in CUeV-Forum Carbon Composites Austria, Spielberg, Austria, Oct. 2019. Poster .
[Heinzl2019a] C. Heinzl, main organizer of Visual Computing in Materials Sciences, a 5 day’s seminar, April 7-12, 2019 at Schloss Dagstuhl–Leibniz Center for Informatics, covering the main topics of this project. Programme.
[Heinzl2019b] C. Heinzl, R.M. Kirby, S.V. Lomov, G. Requena, and R. Westermann, Visual Computing in Materials Sciences (Dagstuhl Seminar 19151), in Dagstuhl Reports, Vol. 9 (4), pp. 1-42, 2019, doi: 10.4230/DagRep.9.4.1 (CC BY 3.0).
[Kastner2019] J. Kastner and C. Heinzl, Chapter X-Ray Tomography, pp. 58, in Handbook of Advanced Non-Destructive Evaluation, doi: 10.1007/978-3-319-30050-4.
[Sanctorum2019] J. Sanctorum, J. De Beenhouwer, J. Weissenböck, C. Heinzl, J. Kastner, and J. Sijbers, Simulated grating-based x-ray phase contrast images of CFRP-like objects, 9th Conference on Industrial Computed Tomography (iCT), Padova, Italy, 2019. Full Paper .
[Weissenboeck2019] J. Weissenböck, B. Fröhler, E. Gröller, J. Sanctorum, J. De Beenhouwer, J. Sijbers, S. Ayalur Karunakaran, H. Hoeller, J. Kastner, and C. Heinzl, An Interactive Visual Comparison Tool for 3D Volume Datasets represented by Nonlinearly Scaled 1D Line Plots through Space-filling Curves, 9th Conference on Industrial Computed Tomography (iCT), Padova, Italy, 2019. Extended Abstract .
2018
[Batenburg2018] K. J. Batenburg, F. De Carlo, L. Mancini, and J. Sijbers, Advanced X-ray tomography: experiment, modeling, and algorithms, Measurement Science and Technology, Vol. 29 (8), pp. 080101, 2018, doi: 10.1088/1361-6501/aacd25 .
[Elberfeld2018a] T. Elberfeld, J. De Beenhouwer, A J. den Dekker, C. Heinzl, and J. Sijbers, Parametric Reconstruction of Glass Fiber-reinforced Polymer Composites from X-ray Projection Data - A Simulation Study, Journal of Nondestructive Evaluation, Vol. 37 (62), 2018, doi: 10.1007/s10921-018-0514-0 .
[Elberfeld2018b] T. Elberfeld, J. De Beenhouwer, A J. den Dekker, C. Heinzl, and J. Sijbers, Parametric Reconstruction of Advanced Glass Fiber-reinforced Polymer Composites from X-ray Images, 8th Conference on Industrial Computed Tomography (iCT), Wels, Austria, 2018. Extended Abstract .
[Froehler2018a] B. Fröhler, T. Möller, J. Weissenböck, H.-C. Hege, J. Kastner, and C. Heinzl, Exploring Uncertainty in Image Segmentation Ensembles, EuroGraphics Conference on Visualization (EuroVis), 2018, doi: 10.2312/eurp.20181123. Extended Abstract, Poster .
[Froehler2018b] B. Fröhler, C. Heinzl, J. Weissenböck, Al. Amirkhanov, M. Arikan, and J. Kastner, open_iA: A Framework for Analyzing Industrial Computed Tomography Data, 12th European Conference on Non-Destructive Testing (ECNDT), Gothenburg, Sweden, 2018. Extended Abstract (CC BY-NC 4.0).
[Heinzl2018] C. Heinzl, Visual Computing in Industrial Computed Tomography, 8th Conference on Industrial Computed Tomography, Wels, Austria, 2018 (Keynote Talk, 08.02.2018).
[Schiwarth2018] M. Schiwarth, J. Weissenböck, B. Plank, B. Fröhler, C. Heinzl, and J. Kastner, Visual analysis of void and reinforcement characteristics in x-ray computed tomography dataset series of fiber-reinforced polymers, 13th International Conference on Textile Composites (TexComp-13), Milano, Italy, 2018, doi: 10.1088/1757-899X/406/1/012014 (CC BY 3.0).
[Weissenboeck2018a] J. Weissenböck, B. Fröhler, E. Gröller, J. Kastner, and C. Heinzl, Dynamic Volume Lines: Visual Comparison of 3D Volumes through Space-filling Curves, IEEE Transactions on Visualization and Computer Graphics, Vol. 25 (1), pp. 1040-1049, 2018, doi: 10.1109/TVCG.2018.2864510. Full Paper .
[Weissenboeck2018b] J. Weissenböck, M. Arikan, D. Salaberger, J. Kastner, J. De Beenhouwer, J. Sijbers, S. Rauchenzauner, T. Raab-Wernig, E. Gröller, and C. Heinzl, Comparative Visualization of Orientation Tensors in Fiber-Reinforced Polymers, 8th Conference on Industrial Computed Tomography (iCT), Wels, Austria, 2018. Full Paper .
[VanEyndhoven2018] G. Van Eyndhoven and J. Sijbers, Iterative reconstruction methods in X-ray CT, Handbook of X-ray Imaging: Physics and Technology, CRC Press, pp. 693-712, 2018, doi: 10.1201/9781351228251-34.
2017
[Heinzl2017] C. Heinzl and S. Stappen, STAR: Visual Computing in Materials Science, Computer Graphics Forum, Vol. 36 (3), pp. 647-666, 2017, doi: 10.1111/cgf.13214 (CC BY 4.0).
[Sanctorum2017] J. Sanctorum, E. Janssens, A. J. Den Dekker, S. Senck, C. Heinzl, J. De Beenhouwer, and J. Sijbers, A workflow to reconstruct grating-based X-ray phase contrast CT images: application to CFRP samples, 4th Conference on X-ray and Neutron Phase Imaging with Gratings (XNPIG), pp. 139-140, 2017. Extended Abstract, Poster .
