HEALTHCARE

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

  •  

    Automatic Health Data Unification with dynamic ontology on GPU-databases

    Murali Kaundinya, Director, Merck

  •  

    CCCTK: A Toolkit for Anti Cancer Drug Design

    Muthukumarasamy Karthikeyan, Principal Scientist, CSIR-National chemical laboratory

  •  

    Deep Learning Guided Transcriptome Analysis of Tumors for Differentiation of Cancer Subclasses

    Paul Morris, CTO, MedBios

  •  

    A Prospective Validation of Deep Learning for Automatic Polyp Detection during Colonoscopy

    JingJia Liu, CEO, Wision AI

  •  

    AchillesDL: Convolutional Neural Nets Help to Evaluate Tendons Regeneration Process in Sport Medicine

    Norbert Kapinski, Data scientist, Interdisciplinary Centre for Mathematical and Computer Modelling

  •  

    Automated Detection of Cephalometric Landmarks using Bayesian Convolutional Neural Networks on GPUs

    Jeong-Hoon Lee, Student, Yonsei University

  •  

    Automated Right Ventricular Segmentation for Hypoplastic Left Heart Syndrome MRI using FCN

    Kumar Punithakumar, Assistant Professor, University of Alberta

  •  

    Automatic Quantification of Cardiac MRI for Hypertrophic Cardiomyopathy with GPU

    Anudeep Konda, Research Assistant, University of Virginia

  •  

    Detection of Thalassemic Erythrocytes from Quantitative Phase Maps using Mask R-CNN

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

  •  

    Enhancing MRI Resolution and Fully-Automating Tissue Segmentation Using Deep Learning

    Akshay Chaudhari, Post-Doctoral Scholar, Stanford University

  •  

    Evaluating Deep Features for Breast Cancer Response Prediction in MRI Based on GPU Learning

    Mohamed Amine Larhmam, Researcher & Teaching Assistant, University of Mons

  •  

    Fixed Field Size CNN for Cervical Cell Classification

    Zhili Wu, CEO, Shenzhen Yiyuan Intelligence Technology Co., Ltd.

  •  

    Fully GPU-Powered Lung Nodule Detection System

    Gwangbeen Park, AI Researcher, VUNO Inc.

  •  

    GPU-Accelerated Features Extraction from Magnetic Resonance Images

    Che-Lun Hung, Professor, Providence University

  •  

    Healthcare and Life Sciences

    Craig Morioka, Research Scientist, Department of Veterans Affairs

  •  

    Unsupervised Reverse Domain Adaption for Synthetic Medical Images via Adversarial Training

    Faisal Mahmood, Postdoctoral Fellow, Johns Hopkins University

  •  

    Waveflow: ultrasound processing and imaging with Tensorflow on GPU

    Piotr Jarosik, phd student, Institute of Fundamental Technological Research, Polish Academy of Sciences

  •  

    Workflow Automation and Outcome Prediction in Orthodontic Evaluation Using Machine Learning

    Girish Srinivasan, CTO, DDH Inc.

  •  

    Robust Detection of Parkinson`s Disease Digital Biomarkers through Data Augmentation and Deep Learning

    Marlena Duda, Graduate Student, University of Michigan