Publications

See also FH Profile.
Pending
  • M. Yosifov, P. Weinberger, B. Plank, M. Höglinger, B. Fröhler, J. Kastner, C. Heinzl, Segmentation of Pores in Carbon Fibre Reinforced Polymers Using the U-Net Convolutional Neural Network, 20th World Conference on Non-Destructive Testing, Korea, 2020 (accepted, conference postponed to 2024 due to Covid-19; now submitted to ICT 2023 instead).
  • T. Elberfeld, B. Fröhler, M.J. Emerson, C. Heinzl, J. Kastner, J. De Beenhouwer, J. Sijbers, Efficient Parametric Curved Glass Fiber Representations, 20th World Conference on Non-Destructive Testing, Korea, 2020 (accepted, conference postponed to 2022 due to Covid-19).
  • B. Fröhler, T. Elberfeld, T. Möller, H.C. Hege, J. Maurer, C. Heinzl, Sensitive vPSA -- Exploring Sensitivity in Visual Parameter Space Analysis, arXiv: 2204.01823.
  • T. Elberfeld, B. Fröhler, C. Heinzl, J. Sijbers, and J. De Beenhouwer, cuPARE: Parametric Reconstruction of Curved Fibers from Glass fiber-reinforced Composites (submitted).
2022
  • P. Weinberger, M. Höglinger, B. Fröhler, J. Kastner, and C. Heinzl, Multi-modal Inspection of Aeronautic Parts, International Conference on Tomography of Materials & Structures (ICTMS), Grenoble, Switzerland, 2022.
  • B. Fröhler, C. Anthes, F. Pointecker, J. Friedl, D. Schwajda, A. Riegler, S. Tripathi, C. Holzmann, M. Brunner, H. Jodlbauer, H.-C. Jetter, and C. Heinzl, A Survey on Cross-Virtuality Analytics, Computer Graphics Forum 41 (1), 465–494, 2022, doi: 10.1111/cgf.14447.
  • P. Weinberger, M. Yosifov, B. Fröhler, J. Kastner, and C. Heinzl: The long journey to the training of a deep neural network for segmenting pores and fibers (accepted as a Poster at ICT 2022, url: www.ndt.net/?id=26610).
  • M. Yosifov, M. Reiter, S. Heupl, C. Gusenbauer, B. Fröhler, R. Fernández-Gutiérrez, J. De Beenhouwer, J. Sijbers, J. Kastner, and C. Heinzl, Probability of Detection applied to X-ray inspection using numerical simulations, Nondestructive Testing and Evaluation, doi: 10.1080/10589759.2022.2071892; presented at ICT 2022.
  • A. Gall, B. Fröhler, J. Maurer, J. Kastner, and C. Heinzl: Cross-Virtuality Analysis of Rich X-Ray Computed Tomography Data for Materials Science Applications, Nondestructive Testing and Evaluation, doi: 10.1080/10589759.2022.2075864; presented at ICT 2022).
  • P. Weinberger, B. Plank, B. Fröhler, J. Kastner, and C. Heinzl, Segmentation of multiple features in Carbon Fiber Reinforced Polymers using a Convolutional Neural Network, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI, SPIE, 2022, doi: 10.1117/12.2612895; presented at SPIE Smart Structures + Nondestructive Evaluation conference, Long Beach, CA, USA, presentation held virtually.
  • A. Gall, B. Fröhler, D. Schwajda, C. Anthes, and C. Heinzl: Towards Remote Analytics in Nondestructive Testing; accepted for presentation at the workshop for Enhancing cross-reality applications and user experiences, held jointly with the International Conference on Advanced Visual Interfaces (AVI), June 2022, Frascati, Rome, Italy.
2021
  • A. Gall, B. Fröhler, C. Heinzl, Cross Virtuality Analytics in Materials Sciences, ISS'21 Workshop Proceedings: "Transitional Interfaces in Mixed and Cross-Reality: A new frontier?", doi: 10.18148/kops/352-2-wugxhv7d696t7.
2020
  • A. Riegler, C. Anthes, H.C. Jetter, et al., Cross-Virtuality Visualization, Interaction and Collaboration. International Workshop on Cross-Reality (XR) Interaction @ ACM ISS 2020, 2020, url: http://ceur-ws.org/Vol-2779/paper1.pdf.
  • P. Weinberger, J. Maurer, B. Fröhler, J. Kastner, C. Heinzl, Faster Training of Deep Convolutional Neural Networks for Material Science through Transfer Learning, 12th International Symposium on NDT in Aerospace, Hosted Virtually, October, 2020, url: www.ndt.net?id=25615.
  • 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 35 (3), 328–341, 2020, doi: 10.1080/10589759.2020.1774583.
  • 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, 10th International Conference on Industrial Computed Tomography, 2020, Wels, Österreich (Talk).
2019
  • B. Fröhler, B. Plank, M. Schiwarth, J. Kastner, and C. Heinzl, Analysis of Fiber-Reinforced Polymers with the open_iA Framework, CUeV-Forum Carbon Composites Austria, Spielberg, Austria. Short Talk + Poster.
  • 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, 5th Int. Conf. on X-Ray International Conference on X-ray and Neutron Phase Imaging with Gratings, Sendai, Japan, Oct. 2019. Poster.
  • L. da Cunha Melo, B. Fröhler, J. Weissenböck, J. Kastner, and C. Heinzl, Multimodal Transfer Functions for Talbot-Lau Grating Interferometry Data, International Symposium on Digital Industrial Radiology and Computed Tomography, Fürth, Germany, 2019. paper.
  • B. Fröhler, T. Elberfeld, T. Möller, H.-C. Hege, J. Weissenböck, J. De Beenhouwer, J. Sijbers, J. Kastner, and C. Heinzl, A Visual Tool for Comparative Analysis of Algorithms for Fiber Characterization, Computer Graphics Forum 38 (3), 273–283, 2019, doi: 10.1111/cgf.13688. BibTex.
  • 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. BibTex.
  • 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 International Conference on Industrial Computed Tomography, 2019, Padua, Italy, url: www.ndt.net?id=23685. Short Talk + Poster, 3rd place in Best Poster Competition, BibTex.
  • 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 International Conference on Industrial Computed Tomography, 2019, Padua, Italy, url: www.ndt.net?id=23675.
  • 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), 1040–1049, 2018, doi: 10.1109/TVCG.2018.2864510.
2018
  • B. Fröhler, C. Heinzl, J. Weissenböck, A. Amirkhanov, M. Arikan, and J. Kastner, open_iA: A Framework for Analyzing Industrial Computed Tomography Data, 12th European Conference on Non-Destructive Testing (ECNDT), 2018, Gothenburg, Sweden, url: www.ndt.net/?id=22772. Poster.
  • B. Fröhler, T. Möller, J. Weissenböck, H.-C. Hege, J. Kastner, and C. Heinzl, Exploring Uncertainty in Image Segmentation Ensembles, 20th EG/VGTC Conference on Visualization (EuroVis), 2018, Brno, Czech Republic, doi: 10.2312/eurp.20181123. Poster, BibTex.
  • 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), 2018, Milan, Italy, doi: 10.1088/1757-899X/406/1/012014.
2017
  • B. Fröhler, C. Heinzl, J. Kastner, and T. Möller, Parameter-Space Exploration for Computed Tomography Image Analysis Algorithms, 7th Conference on Industrial Computed Tomography, 2017, Leuven, Belgium, url: www.ndt.net?id=20856. Poster.
2016
  • B. Fröhler, T. Möller, and C. Heinzl, GEMSe: Visualization-Guided Exploration of Multi-channel Segmentation Algorithms, Computer Graphics Forum, Vol. 35 (3), 191–200, 2016, doi: 10.1111/cgf.12895. BibTex, author version (pdf).
  • K. Mathmann, V. Bürger, B. Fröhler, C. Heinzl, and J. Kastner, Imaging of the microstructure of wheat dough by the complementary rendering of data from x-ray computed tomography and confocal laser scanning microscopy, 30th EFFoST International Conference, Vienna, Österreich, 2016, pp. 1. FH Pure entry.
  • J. Schmidt, B. Fröhler, R. Preiner, J. Kehrer, E. Gröller, S. Bruckner, and C. Heinzl, Visual Analysis of Volume Ensembles Based on Local Features, Technical Report, May 2016. CG TU Wien entry.
2015
  • B. Fröhler, A. Amirkhanov, J. Kastner, E. Gröller, and C. Heinzl, Multimodal Visualization and Analysis of Spectral and Scalar Data, Tagungsband des 9. Forschungsforums der österreichischen Fachhochschulen, pp. 7, 2015, Hagenberg, Austria. FH Pure entry. BibTex.
2014
  • A. Amirkhanov, B. Fröhler, J. Kastner, E. Gröller, and C. Heinzl, InSpectr: Multi-Modal Exploration, Visualization, and Analysis of Spectral Data, Computer Graphics Forum, Vol. 33 (3), 91–100, 2014, doi: 10.1111/cgf.12365. BibTex, author version (pdf), InSpectr @ TU Wien.
  • A. Amirkhanov, B. Fröhler, M. Reiter, J. Kastner, E. Gröller, and C. Heinzl, Uncertainty in CT metrology: Visualizations for Exploration and Analysis of Geometric Tolerances, Proceedings of the 5th iCT Conference, 2014, p. 195, Wels, Austria, url: www.ndt.net?id=15701.
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