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Medical Imaging

Check out this collection of scientific posters and find out how researchers in medical imaging are accelerating their work with the power of GPU


    Fast Parallel GPU Implementation for Clinical Helical CT Using Branchless DD

    Ayan Mitra, Graduate Research Assistant, Washington university in St. Louis


    GPU Accelerated Compressive Sensing in MRI

    Jonas Vylder, Postdoctoral Researcher, Ghent university


    GPU Acceleration of Non-Iterative and Iterative Algorithms in Fluorescence Lifetime Imaging Microscopy

    Gang Wu, Student, University of Sussex


    GPU Implementation for Non-Cartesian Parallel MRI

    Hassan Shahzad, Ph.D. Student, COMSATS Institute of Information Technology, Islamabad


    GPU-Accelerated Sub-Sample Displacement Estimation Method for Real-Time Ultrasound Elastography

    Bo Peng, Postdoc, Michigan Technological University


    GPU-Based Parallel Fuzzy C-Mean Clustering Model Through Genetic Algorithm

    Yuan Huai Wu, M.Sc. Student, Providence University


    High Accuracy High Performance 3D Cone Beam Reconstruction

    Oleg Konings, Senior Software Engineer, Triple Ring Technologies


    Improving Automated Diabetic Retinopathy Detection with Deep Convolutional Neural Networks

    Meindert Niemeijer, CTO, IDx LLC


    Improving Spinal Cord Segmentation and Cross-Sectional Area Calculation

    Joo-won Kim, Postdoctoral Fellow, Icahn School of Medicine at Mount Sinai


    Intraoperative GPU-Based Surgical Navigation for Needle Steering

    Fangde Liu, Research Associate, Imperial College London


    Medical Imaging Posters

    Duane Storti, Professor of Mechanical Engineering, University of Washington-Seattle


    MRICloud: An MRI Data Platform with Cloud Storage and Cloud Computing Service

    Jian-Hua Huang, Master student, Chang Gung University


    Towards 3D Image Up-Scaling on the GPU

    Srinivasan Ramesh, Research Assistant, Indian Institute of Science


    White Matter Tractography and Human Brain Connections Using GPUs

    Moises Hernandez Fernandez, Ph.D. Student, Oxford Centre for Functional MRI of the Brain (FMRIB). University of Oxford


    Patient-Specific Hyperelastic Biomechanical Models for Clinical DIR Confidence Quantification

    John Neylon, Graduate Student Researcher, UCLA Radiation Oncology



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