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    Chapter and Conference Paper

    HyperMorph: Amortized Hyperparameter Learning for Image Registration

    We present HyperMorph, a learning-based strategy for deformable image registration that removes the need to tune important registration hyperparameters during training. Classical registration methods solve an ...

    Andrew Hoopes, Malte Hoffmann, Bruce Fischl… in Information Processing in Medical Imaging (2021)

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    Chapter and Conference Paper

    High-Pressure Real-Gas Jet and Throttle Flow as a Simplified Gas Injector Model Using a Discontinuous Galerkin Method

    Industrial devices such as gas injectors for automotive combustion engines operate at ever-increasing pressures and already today reach regimes beyond the ideal-gas approximation. Numerical simulations are an ...

    Fabian Hempert, Sebastian Boblest… in High Performance Computing in Science and … (2016)

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    Chapter and Conference Paper

    Toward a Discontinuous Galerkin Fluid Dynamics Framework for Industrial Applications

    For many years, discontinuous Galerkin (DG) methods have been proving their value as highly efficient, very well scalable high-order methods for computational fluid dynamics (CFD) calculations. However, they h...

    Sebastian Boblest, Fabian Hempert… in High Performance Computing in Science and … (2016)