SILICON VALLEY 26-29 MAR 2018
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Healthcare and Life Sciences

Check out this collection of posters to see how researchers in healthcare are accelerating their work with the power of GPUs.

 
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    Cancer Center - Better and Faster Cancer Diagnosis using Machine and Deep Learning

    Piotr Krajewski, CEO, Stermedia/CancerCenter

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    Efficient Brain MRI Segmentation Algorithm on Jetson TK1 Cluster

    Che-Lun Hung, Professor, Providence University, Taiwan

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    GPU Implementation of 3-D Refractive Index Reconstruction in Common-Path Tomographic Diffractive Microscopy

    Yang-Hsien Lin, Ph.D. Candidate, National Taiwan University

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    Magnetic Resonance Fingerprinting (MRF) Dictionary Construction using GPU for Exploiting Inherent Parallelism

    Irfan Ullah, (Lecturer at Department of Electrical Engineering, COMSATS Institute of Information Technology)

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    MultiGPU Acceleration of Iterative X-Ray CT Image Reconstruction

    Ayan Mitra, Graduate Assistant, Washington University in St. Louis

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    Real-Time Automated Segmentation of Challenging Suspicious Breast Masses

    Viksit Kumar, Research fellow, Mayo

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    SurgicalAI: Autonomous Surgery Planning with GPU Cloud

    Fangde Liu, Research Associate, Data Science Institute, Imperial College London

 
 

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