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91 Publications visible to you, out of a total of 91
New sparsing approach for real-time simulations of stiff models on electronic control units

Abstract (Expand)

For real-time simulations of stiff models on electronic control units, one important ingredient is to reduce computation time within differentiation of the right-hand side of the underlying differential … equation. A sparsing method represents a powerful tool in this context. For a reliable use of a real-time simulation of a stiff model in safety-critical conditions, it is important to be able to detect, when sparsing leads to an improper influence on the considered system. In this work we propose an extension which aims at addressing this numerically challenging problem in the context of real-time simulation.

Authors: Thomas Loderer, Vincent Heuveline

Date Published: 2017

Publication Type: Journal

Towards an Intelligent Framework for Personalized Simulation-enhanced Surgery Assistance: Linking a Simulation Ontology to a Reinforcement Learning Algorithm for Calibration of Numerical Simulations

Abstract (Expand)

Evolving our previous research results in the context of cognition-guidance and patient-specifity for simulation-enhanced cardiac surgery assistance, in this work we further investigate on (1) a machine … learning framework which allows to patient-individually calibrate soft tissue material parameters for subsequent simulation, and (2) a profound knowledge management framework which may enhance the ontology-driven overall setup of the cognition-guided surgery simulation in a clinic environment. Rather than being a closed research work with an in-depth theory backup and a complete evaluation, we here present a technical report and some interesting experimental works that are to serve for further research and development.

Authors: Nicolai Schoch, Vincent Heuveline

Date Published: 2017

Publication Type: Journal

HiFlow3 – Technical Report on Release 2.0

Abstract

Not specified

Authors: Simon Gawlok, Philipp Gerstner, Saskia Haupt, Vincent Heuveline, Jonas Kratzke, Philipp Lösel, Katrin Mang, Mareike Schmidtobreick, Nicolai Schoch, Nils Schween, Jonathan Schwegler, Chen Song, Martin Wlotzka

Date Published: 2017

Publication Type: Journal

Uncertainty Quantification and High Performance Computing (Dagstuhl Seminar 16372)

Abstract

Not specified

Authors: Vincent Heuveline, Michael Schick, Clayton Webster, Peter Zaspel

Date Published: 2017

Publication Type: InProceedings

Exploring impacts of vegetated buffer strips on nitrogen cycling using a spatially explicit hydro-biogeochemical modeling approach

Abstract

Not specified

Authors: S Klatt, D Kraus, P Kraft, L Breuer, M Wlotzka, V Heuveline, E Haas, R Kiese, Klaus Butterbach-Bahl

Date Published: 2017

Publication Type: Journal

A GPU Based Diffusion Method for Whole-Heart and Great Vessel Segmentation

Abstract (Expand)

Segmenting the blood pool and myocardium from a 3D cardiovascular magnetic resonance (CMR) image allows to create a patient-specific heart model for surgical planning in children with complex congenital … heart disease (CHD). Implementation of semi-automatic or automatic segmentation algorithms is challenging because of a high anatomical variability of the heart defects, low contrast, and intensity variations in the images. Therefore, manual segmentation is the gold standard but it is labor-intensive. In this paper we report the set-up and results of a highly scalable semi-automatic diffusion algorithm for image segmentation. The method extrapolates the information from a small number of expert manually labeled reference slices to the remaining volume. While results of most semi-automatic algorithms strongly depend on well-chosen but usually unknown parameters this approach is parameter-free. Validation is performed on twenty 3D CMR images.

Authors: Philipp Lösel, Vincent Heuveline

Date Published: 2017

Publication Type: InCollection

Optimal Storage Operation with Model Predictive Control in the German Transmission Grid

Abstract

Not specified

Authors: Nico Meyer-Hübner, Michael Suriyah, Thomas Leibfried, Viktor Slednev, Valentin Bertsch, Wolf Fichtner, Philipp Gerstner, Michael Schick, Vincent Heuveline

Date Published: 2017

Publication Type: InCollection

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