Home > Resources: GTC 2017 Posters > Healthcare and Life Sciences

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.


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

    Piotr Krajewski, CEO, Stermedia/CancerCenter


    Efficient Brain MRI Segmentation Algorithm on Jetson TK1 Cluster

    Che-Lun Hung, Professor, Providence University, Taiwan


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

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


    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)


    MultiGPU Acceleration of Iterative X-Ray CT Image Reconstruction

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


    Real-Time Automated Segmentation of Challenging Suspicious Breast Masses

    Viksit Kumar, Research fellow, Mayo


    SurgicalAI: Autonomous Surgery Planning with GPU Cloud

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



Presented by NVIDIA, GTC is comprised of the annual conference, year-long webinar series, and workshops that connect the global community of developers, researchers, and scientists through unique educational and networking opportunities.