Biblio

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Burkhart, D., Hamann B., & Umlauf G. (2010).  Adaptive tetrahedral subdivision for finite element analysis. (.N., N., Ed.).Computer Graphics International, Singapore 2010. PDF icon TetraSubFEA.pdf (3.43 MB)
Burkhart, D., Hamann B., & Umlauf G. (2010).  Adaptive and feature-preserving subdivision for high-quality tetrahedral meshes. Computer Graphics Forum. 29, 117-127.PDF icon AdaptiveSubTetraMeshes.pdf (1022.53 KB)
Burkhart, D., Hamann B., & Umlauf G. (2010).  Iso-geometric analysis based on Catmull-Clark solid subdivision. Computer Graphics Forum. 29, 1575-1784.PDF icon IsoCatmullClarkSub.pdf (3.69 MB)
Burkhart, D., Hamann B., & Umlauf G. (2011).  Finite element analysis for linear elastic solids based on subdivision schemes. Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop. PDF icon FEALinearElasticSolids.pdf (2.35 MB)
Brach, K., Sick B., & Dürr O. (2020).  Single Shot MC Dropout Approximation. ICML Workshop on Uncertainty and Robustness in Deep Learning.
Bohnet, D., & Vartziotis D. (2017).  A geometric mesh smoothing algorithm related to damped oscillations. Comput Methods Appl Mech Eng. 326C,
Bohnet, D., & Vartziotis D. (2016).  Von der Symmetriegruppe des Dreiecks zur Glättung von industriellen Netzen. Die Basis der Vielfalt - 10. Tagung der DGfGG.
Bohnet, D., & Vartziotis D. (2018).  Fractal Curves from Prime Trigonometric Series. Fractal Fract.. 2(2), 
Bohnet, D. (2013).  Codimension one partially hyperbolic diffeomorphisms with a uniformly compact center foliation. J. Mod. Dyn.. 7(4), 
Bohnet, D., Himpel B., & Vartziotis D. (2018).  GETOpt mesh smoothing: Putting GETMe in the framework of global optimization-based schemes. Finite Elem. Anal. Des.. 147,
Bohnet, D., & Bonatti C. (2016).  Partially hyperbolic diffeomorphisms with uniformly compact center foliation: quotient dynamics. Ergodic Theory Dyn. Sys.. 36(4), 
Bohnet, D., & Vartziotis D. (2016).  Existence of an attractor for a geometric tetrahedron transformation. Differential Geom. Appl.. 49,
Bodai, T., Lembo V., Lembo V., Lee S-S., Ishizu M., & Franz M. (2023).  Development and application of a climate emulator. EGU23.
Bobach, T., Bertram M., & Umlauf G. (2006).  Comparison of Voronoi based scatterd data interpolation schemes. (Villanueva, J.J., Ed.).Proceedings of the Internationl Conference on Visualization, Imaging and Image Processing. PDF icon VoronoiInterp.pdf (4.63 MB)
Bobach, T., Farin G., Hansford D., & Umlauf G. (2009).  Natural neighbor extrapolation using ghost points. Computer Aided-Design. 41, 350-365.PDF icon Extrapolation.pdf (2.22 MB)
Bobach, T., & Umlauf G. (2007).  Natural neighbor concepts in scattered data interpolation and discrete function approximation. (Hagen, H., Hering-Bertram M., & Garth C., Ed.).GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets. PDF icon NatNeighborConcepts.pdf (1.21 MB)
Bobach, T., Farin G., Hansford D., & Umlauf G. (2007).  Discrete harmonic functions from local coordinates. (Martin, R., Sabin M., & Winkler J., Ed.).Mathematics of Surfaces XII. PDF icon HarmonicFunc.pdf (835.96 KB)
Bobach, T., & Umlauf G. (2006).  Natural neighbor interpolation and order of continuity. (Hagen, H., Kerren A., & Dannenmann P., Ed.).GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets. PDF icon NatNeighborInterp.pdf (1.47 MB)
Bobach, T., Constantiniu A., Steinmann P., & Umlauf G. (2010).  Geometric properties of the adaptice Delaunay tessellation. (Dæhlen, M., Floater M.S., Lyche T., Merrien J.-L., Morken K., & Schumaker L.L., Ed.).Mathematical Methods of Curves and Surfaces, Tondsberg 2008. PDF icon ADTProperties.pdf (335.14 KB)
Bobach, T., Bertram M., & Umlauf G. (2006).  Issues and implementation of C^1 and C^2 natural neighbor interpolation. (G. al., B. et, Ed.).Advances in Visual Computing. Part II. PDF icon C1C2NeighborInterp.pdf (3.87 MB)
Berlin, C., Adomeit S., Grover P., Dreischarf M., Dürr O., & Obid P. (2022).  140. Automated measurement technique for coronal parameters using a novel artificial intelligence algorithm: an independent validation study on 100 preoperative AP spine X-rays. The Spine Journal. 22, S74.
Berlin, C., Adomeit S., Grover P., Dreischarf M., Halm H., Dürr O., et al. (2023).  Novel AI-Based Algorithm for the Automated Computation of Coronal Parameters in Adolescent Idiopathic Scoliosis Patients: A Validation Study on 100 Preoperative Full Spine X-Rays. Global Spine Journal. 21925682231154543.
Bender, C., Denker K., Friedrich M., Hirt K., & Umlauf G. (2012).  A hand-held laser scanner based on multi-camera stereo-matching. Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop. PDF icon LaserScannerStereoMatching.pdf (584.47 KB)
Barbero, A., Franz M. O., van Drongelen W., Dorronsoro J. R., Schölkopf B., & Grosse-Wentrup M. (2009).  Implicit Wiener series analysis of epileptic seizure recordings.. {Ann. Intl. Conf. of the IEEE Engineering in Medicine and Biology Society}. 5304–5307.PDF icon Barbero et al._2009_Implicit Wiener series analysis of epileptic seizure recordings.pdf (327.26 KB)
Bakır, G. H., Gretton A., Franz M. O., & Schölkopf B. (2004).  Multivariate Regression via Stiefel Manifold Constraints. (Rasmussen, C. E., Bülthoff H. H., Giese M. A., & Schölkopf B., Ed.).{Pattern Recognition, Proc. of the 26th DAGM Symposium (DAGM 2004)}. 262-269.

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