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  1. Article

    Open Access

    Probabilistic atlas for the language network based on precision fMRI data from >800 individuals

    Two analytic traditions characterize fMRI language research. One relies on averaging activations across individuals. This approach has limitations: because of inter-individual variability in the locations of l...

    Benjamin Lipkin, Greta Tuckute, Josef Affourtit, Hannah Small in Scientific Data (2022)

  2. No Access

    Article

    An investigation across 45 languages and 12 language families reveals a universal language network

    To understand the architecture of human language, it is critical to examine diverse languages; however, most cognitive neuroscience research has focused on only a handful of primarily Indo-European languages. ...

    Saima Malik-Moraleda, Dima Ayyash, Jeanne Gallée, Josef Affourtit in Nature Neuroscience (2022)

  3. No Access

    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)

  4. No Access

    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)

  5. No Access

    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)