Bernd Hamann - Publications Authored, Co-authored, or Co-edited (Including Accepted Publications to Appear), also at IDAV Publications


2018

[461] Banesh, D., Wendelberger, J.R., Petersen, M.R., Ahrens, J.P. and Hamann, B. (2018), Change point detection for ocean eddy analysis (pdf), in: Bujack, R., Rink, K., Zeckzer, D., and Jaenicke, S., eds., Proceedings of Eurographics Workshop on Visualisation in Environmental Sciences 2018 (EnvirVis 2018), Eurographics Digital Library, pp. 27-33.

[462] Beketayev, K., Yeliussizov, D., Morozov, D., Weber, G.H. and Hamann, B. (2018), Measuring the error in approximating the sub-level set topology of sampled scalar data (pdf), International Journal of Computational Geometry and Applications (IJCGA) 28(1), World Scientific Publishing Company, pp. 57-77.

[463] Borges, V.R.P., Ferreira de Oliveira, M.C., Silva, T.G., Vieira, A.A.H. and Hamann, B. (2018), Region growing for segmenting green microalgae images (pdf), IEEE/ACM Transactions on Computational Biology and Bioinformatics 15(1), pp. 257-270.

[464] Gillmann, C., Post, T.M., Wischgoll, T., Hamann, B. and Hagen, H. (2018), Visual analysis of cascaded bottlenecks in planar flow networks (pdf), to appear in: Jaenicke, S., Hotz, I. and Liu, S., eds., Proceedings of Leipzig Symposium on Visualization in Applications 2018 (LEVIA 2018), Leipzig University Library, University of Leipzig, Leipzig, Germany.

[465] Gillmann, C., Wischgoll, T., Hamann, B. and Ahrens, J.P. (2018), Modeling and visualization of uncertainty-aware geometry using multi-variate normal distributions (pdf), in: Misue, K., Sadlo, F. and Shi, L. eds., Proceedings of Eleventh IEEE Pacific Visualization Symposium (PacificVis 2018), Visualization Notes, IEEE Computer Society Press, Los Alamitos, California, pp. 106-110.

[466] Gillmann, C., Wischgoll, T., Hamann, B. and Hagen, H. (2018), Accurate and reliable extraction of surfaces from image data using a multi-dimensional uncertainty model (pdf), in: Chen, F., Dokken, T., Grandine, T. and Morin, G., eds., Geometric Modeling: Interoperability and New Challenges, Graphical Models 99, special issue, Elsevier, pp. 13-21.

[467] Gimenez, A., Gamblin, G.T., Jusufi, I., Bhatele, A., Schulz, M.W.J., Bremer, P.-T. and Hamann, B. (2018), MemAxes: Visualization and analytics for characterizing complex memory performance behaviors (pdf), IEEE Transactions on Visualization and Computer Graphics 24(7), pp. 2180-2193.

[468] Kronenberger, M., Schladitz, K., Hamann, B. and Hagen, H. (2018), Fiber segmentation in crack regions of steel fiber reinforced concrete using principal curvature (pdf), Image Analysis and Stereology 37(2), Slovenian Society for Stereology and Quantitative Image Analysis, pp. 127-137.

[469] Linares, O.A.C., Bianchi, J., Raveli, D., Neto, J.B. and Hamann, B. (2018), Mandible and skull segmentation in cone beam computed tomography using super-voxels and graph clustering (pdf), to appear in The Visual Computer, Springer-Verlag, DOI 10.1007/s00371-018-1511-0.

[470] Pulido, J., Livescu, D., Kanov, K., Burns, R., Canada, C.V., Ahrens, J.P. and Hamann, B. (2018), Remote visual analysis of large turbulence databases at multiple scales (pdf), Journal of Parallel and Distributed Computing 120, Elsevier, pp. 115-126.

[471] Rupprecht, F.-A., Kasakow, G., Aurich, J.C., Hamann, B. and Ebert, A. (2018), Improving collaboration efficiency via diverse networked mobile devices (pdf), in: Luo, Y., Huang, T. and Duh, H., eds., Journal of Multimodal User Interfaces 12(2), special issue (Cooperative Design, Visualization and Engineering for Multimodal Systems and Datasets), Springer-Verlag, pp. 91-108.