Titlebook: Brain-Inspired Computing; Second International Katrin Amunts,Lucio Grandinetti,Nicolai Petkov Conference proceedings 2016 Springer Internat

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Workflows for Ultra-High Resolution 3D Models of the Human Brain on Massively Parallel SupercomputeFor the generation of other, even higher-resolution data sets of the human brain, we developed an improved and more efficient data processing workflow employing high performance computing to 3D reconstruct histological data sets. To facilitate the analysis of intersubject variability on a microscopi

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,Towards Large-Scale Fiber Orientation Models of the Brain – Automation and Parallelization of a Seeementation and the performance of a parallelized semi-automated seeded region growing algorithm used to classify tissue and background components in up to one million 3D-PLI images acquired from an entire human brain. This algorithm represents an important element of a complex UNICORE-based analysis

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Macmillan Student Encyclopedia of SociologyFor the generation of other, even higher-resolution data sets of the human brain, we developed an improved and more efficient data processing workflow employing high performance computing to 3D reconstruct histological data sets. To facilitate the analysis of intersubject variability on a microscopi

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Contemporary History in Contextementation and the performance of a parallelized semi-automated seeded region growing algorithm used to classify tissue and background components in up to one million 3D-PLI images acquired from an entire human brain. This algorithm represents an important element of a complex UNICORE-based analysis

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