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Parallel generation of digitally reconstructed radiographs on heterogeneous multi-GPU workstations.

, , , , , , and . EMBC, page 3953-3956. IEEE, (2016)

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High Fidelity Visualization of Large Scale Digitally Reconstructed Brain Circuitry with Signed Distance Functions., , , , , and . VIS, page 176-180. IEEE, (2019)Parallel Rendering on Hybrid Multi-GPU Clusters., , , , , , and . EGPGV, page 109-117. Eurographics Association, (2012)A Physically Plausible Model for Rendering Highly Scattering Fluorescent Participating Media., , , , and . CoRR, (2017)From Big Data to Big Displays High-Performance Visualization at Blue Brain., , , , , , , , , and 2 other author(s). ISC Workshops, volume 10524 of Lecture Notes in Computer Science, page 662-675. Springer, (2017)Physically-based Rendering of Highly Scattering Fluorescent Solutions using Path Tracing., , , , and . Eurographics (Posters), page 17-18. Eurographics Association, (2016)Efficient rendering of digitally reconstructed radiographs on heterogeneous computing architectures using central slice theorem., , , and . EMBC, page 3957-3960. IEEE, (2016)GPU acceleration for digitally reconstructed radiographs using bindless texture objects and CUDA/OpenGL interoperability., , and . EMBC, page 4242-4245. IEEE, (2015)Parallel generation of digitally reconstructed radiographs on heterogeneous multi-GPU workstations., , , , , , and . EMBC, page 3953-3956. IEEE, (2016)High Performance GPU-Based Fourier Volume Rendering., , and . Int. J. Biomedical Imaging, (2015)Bio-physically plausible visualization of highly scattering fluorescent neocortical models for in silico experimentation., , , , , and . BMC Bioinformatics, 18 (S-2): 62:1-62:14 (2017)