SILICON VALLEY 26-29 MAR 2018
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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

 
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    Fast Parallel GPU Implementation for Clinical Helical CT Using Branchless DD

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

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    GPU Accelerated Compressive Sensing in MRI

    Jonas Vylder, Postdoctoral Researcher, Ghent university

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

    Gang Wu, Student, University of Sussex

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    GPU Implementation for Non-Cartesian Parallel MRI

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

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

    Bo Peng, Postdoc, Michigan Technological University

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

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

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    High Accuracy High Performance 3D Cone Beam Reconstruction

    Oleg Konings, Senior Software Engineer, Triple Ring Technologies

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    Improving Automated Diabetic Retinopathy Detection with Deep Convolutional Neural Networks

    Meindert Niemeijer, CTO, IDx LLC

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    Improving Spinal Cord Segmentation and Cross-Sectional Area Calculation

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

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    Intraoperative GPU-Based Surgical Navigation for Needle Steering

    Fangde Liu, Research Associate, Imperial College London

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    Medical Imaging Posters

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

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

    Jian-Hua Huang, Master student, Chang Gung University

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    Towards 3D Image Up-Scaling on the GPU

    Srinivasan Ramesh, Research Assistant, Indian Institute of Science

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    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

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    Patient-Specific Hyperelastic Biomechanical Models for Clinical DIR Confidence Quantification

    John Neylon, Graduate Student Researcher, UCLA Radiation Oncology

 
 

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