Bernd Hamann - Publications Authored, Co-authored, or Co-edited, also at IDAV Publications


2017

[444] Aldrich, G.A., Hyman, J.D., Karra, S., Gable, C.W., Makedonska, N., Viswanathan, H.S., Woodring, J.L. and Hamann, B. (2017), Analysis and visualization of discrete fracture networks using a flow topology graph (pdf), IEEE Transactions on Visualization and Computer Graphics 23(8), pp. 1896-1909.

[445] Aurich, J.C., Ravani, B., Ebert, A., Hamann, B., Mueller, R., Zohdi, T. and Kirsch, B., eds. (2017), Physical Modeling for Virtual Manufacturing Systems and Processes, Applied Mechanics and Materials 869, special issue, Scientific.Net, Trans Tech Publications Inc., Zurich, Switzerland.

[446] Banesh, D., Schoonover, J., Ahrens, J.P. and Hamann, B. (2017), Extracting, visualizing and tracking mesoscale ocean eddies in two-dimensional image sequences using contours and moments (pdf), in: Rink, K., Middel, A., Zeckzer, D. and Bujack, R., eds., Proceedings of Eurographics Workshop on Visualisation in Environmental Sciences 2017 (EnvirVis 2017), Eurographics Digital Library, pp. 43-47.

[447] Fuetterling, V., Lojewski, C., Pfreundt, F.-J., Hamann, B. and Ebert, A. (2017), Accelerated single ray tracing for wide vector units (pdf), in: Havran, V. and Vaiyanathan, K., eds., Proceedings of High-performance Graphics 2017 (HPG '17), ACM Digital Library, ACM Press, New York, New York, 9 pages.

[448] Gillmann, C., Post, T.M., Kirsch, B., Wischgoll, T., Hartig, J., Hamann, B., Hagen, H. and Aurich, J.C. (2017), An industrial vision system to analyze the wear of cutting tools (pdf), in: Aurich, J.C., Ravani, B., Ebert, A., Hamann, B., Mueller, R., Zohdi, T. and Kirsch, B., eds., Applied Mechanics and Materials 869, special issue (Physical Modeling for Virtual Manufacturing Systems and Processes), Scientific.Net, pp. 183-194.

[449] Gimenez, A., Gamblin, G.T., Bhatele, A., Wood, C., Shoga, K., Marathe, A., Bremer, P.-T., Hamann, B. and Schulz, M. (2017), ScrubJay: Deriving knowledge from the disarray of HPC performance data (pdf), in: Benoit, A. and Heroux, M.A., eds., Proceedings of Supercomputing 2017 (SC17), ACM/IEEE, IEEE Press, Piscataway, New Jersey, 12 pages (article no. 35).

[450] Lukasczyk, L., Aldrich, G.A., Steptoe, M., Favelier, G., Gueunet, C., Tierny, J., Maciejewski, R., Hamann, B. and Leitte, H. (2017), Viscous fingering: A topological visual analytic approach (pdf), in: Aurich, J.C., Ravani, B., Ebert, A., Hamann, B., Mueller, R., Zohdi, T. and Kirsch, B., eds., Applied Mechanics and Materials 869, special issue (Physical Modeling for Virtual Manufacturing Systems and Processes), Scientific.Net, pp. 9-19.

[451] Murugesan, S., Bouchard, K.E., Brown, J., Hamann, B., Seeley, W., Trujillo, A. and Weber, G.H. (2017), Brain modulyzer: Interactive visual analsis of functional brain connectivity (pdf), IEEE/ACM Transactions on Computational Biology and Bioinformatics 14(4), pp. 805-818.

[452] Murugesan, S., Bouchard, K.E., Chang, E.F., Dougherty, M., Hamann, B. and Weber, G.H. (2017), Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions (pdf), in: Ji, S., Shi, L. and Tong, H., eds., BMC Bioinformatics 18(Suppl 6):236, special issue, BioMed Central Ltd., pp. 1-15.

[453] Niu, D., Bremer, P.-T., Lindstrom, P., Hamann, B., Zhou, Y. and Zhang, C. (2017), Two-dimensional shape retrieval using the distribution of extrema of Laplacian eigenfunctions (pdf), The Visual Computer 33(5), Springer-Verlag, pp. 607-624.

[454] Post, T.~M., Hamann, B., Hagen, H. and Aurich, J.C. (2017), Ensemble visualization of bottlenecks in planar flow networks (pdf), in: Aurich, J.C., Ravani, B., Ebert, A., Hamann, B., Mueller, R., Zohdi, T. and Kirsch, B., eds., Applied Mechanics and Materials 869, special issue (Physical Modeling for Virtual Manufacturing Systems and Processes), Scientific.Net, pp. 234-243.

[455] Post, T., Ilsen, R., Hamann, B., Hagen, H. and Aurich, J.C. (2017), User-guided visual analysis of cyber-physical production systems (pdf), in: Ravani, B. and Aurich, J.C., eds., Journal of Computing and Information Science in Engineering (JCISE) 17(2), special issue, The American Society of Mechanical Engineers (ASME), pp. 021005-1--021005-8.

[456] Post, T.M., Wischgoll, T., Hamann, B. and Hagen, H. (2017), A high-dimensional data quality metric using Pareto optimality (pdf), extended abstract and poster, in: Puig, A. and Isenberg, T., eds., Joint Eurographics-IEEE VGTC Conference on Visualization 2017, Extended Abstracts and Posters (Proceedings of EuroVis 2017), Eurographics Digital Library, pp. 133-135.

[457] Rupprecht, F.-A., Ebert, A., Schneider, A. and Hamann, B. (2017), Virtual reality meets smartwatch: intuitive, natural, and multi-modal interaction (pdf), extended abstract and poster, in: Erickson, I., Semaan, B. and Tsandilas, T., eds., Proceedings of Computer-Human Interaction 2017 (CHI 2017), Late-Breaking Work, ACM Digital Library, ACM Press, New York, New York, pp. 2884-2890.

[458] Wang, X., Zhao, Z.-L., Capps, A.G. and Hamann, B. (2017), An iterative closest point approach for the registration of volumetric human retina image data obtained by optical coherence tomography (pdf), Multimedia Tools and Applications (MTAP) 76(5), Springer-Verlag, pp. 6843-6857.

[459] Vargas, A.R.S., Vani, B.C., Shimabukuro, M.H., Monico, J.F.G., Ferreira de Oliveira, M.C. and Hamann, B. (2017), Visual analytics of time-varying multivariate ionospheric scintillation data (pdf), in: Torchelsen, R.P. and Panozzo, D., eds., Computers and Graphics 68, special issue, Proceedings of XXX SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI 2017), ELSEVIER, pp. 96-107.

[460] Zhang, X., Hamann, B., Pan, X. and Zhang, C. (2017), Superpixel-based image inpainting with simple user guidance (pdf), in: Luo, J., Zeng, W. and Zhang, Y.-J., eds., Proceedings of 24th IEEE International Conference on Image Processing 2017 (ICIP 2017), IEEE Computer Society Press, Los Alamitos, California, pp. 3785-3789.