Healthcare / Life Sciences Conferences Posters

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

Automated Breast Cancer Subtyping with Deep Learning
Automated Breast Cancer Subtyping with Deep Learning

William Yuan, Graduate Student, Harvard University

Deep Learning Facilitate Cancer Detection and Type Classification from Gene Expression Data
Deep Learning Facilitate Cancer Detection and Type Classification from Gene Expression Data

Xi Chen, Graduate Research Assistant, University of Kentucky

Efficient Processing of Medical Videos in a Multi-auditory Environment Using GPU Lending
Efficient Processing of Medical Videos in a Multi-auditory Environment Using GPU Lending

Rune Johan Borgli,  PhD Student, Simula Research Laboratory AS

Non-Invasive Detection of Coronary Artery Disease
Non-Invasive Detection of Coronary Artery Disease

Nick Flanigan, Co-founder, Heart Input Output, Inc.

Rehabilitation AI to Predict Outcome and Hospital Days with Optimal Therapies
Rehabilitation AI to Predict Outcome and Hospital Days with Optimal Therapies

Takashi Isobe, Senior Network Architect, Hitachi High Technologies America, Inc.

Risk Scoring Model of Ventricular Tachyarrhythmia using Convolutional Neural Networks
Risk Scoring Model of Ventricular Tachyarrhythmia using Convolutional Neural Networks

Choi Kyungmin, Graduate Student, Department of Biomedical Engineering,University of Ulsan College of Medicine

Novel Anti-Cancer Agents Using ‘Ai’
Novel Anti-Cancer Agents Using ‘Ai’

Muthukumarasamy Karthikeyan, Principle Scientist, CSIR National Chemical Laboratory

Accelerating a Sequential Update Optimization Algorithm for CT Statistical Reconstruction
Accelerating a Sequential Update Optimization Algorithm for CT Statistical Reconstruction

Scott Hsieh, Assistant Professor, University of California, Los Angeles

Automatic Blood Cell types identification and classification with Deep Learning
Automatic Blood Cell types identification and classification with Deep Learning

Chihung Lin, AI Team Lead, CGMH

Boosting Google Search Engine Accuracy For Dental X-Rays And Clinical Images
Boosting Google Search Engine Accuracy For Dental X-Rays And Clinical Images

Budi Kusnoto, CTO, Foundation Of Modern BioProgressive  

Clinical performance of fast and low-dose PET using deep learning
Clinical performance of fast and low-dose PET using deep learning

Liren Zhu, Head of Engineering, Subtle Medical Inc

Deep learning for quantifying spatial distribution of chimeric antigen receptor T cells in tissue
Deep learning for quantifying spatial distribution of chimeric antigen receptor T cells in tissue

Alvason Zhenhua Li, Postdoctroal Research Fellow, Fred Hutchinson Cancer Research Center

Design of GPU Parallel Algorithms for Assisted Diagnosis of Prostate Cancer
Design of GPU Parallel Algorithms for Assisted Diagnosis of Prostate Cancer

Di Zhao, Associate Professor, Institute of Computing Technology, Chinese Academy of Sciences

GPU Based Parallel Framework for the Estimation of Receiver Coil Sensitivities in SENSE Reconstruction
GPU Based Parallel Framework for the Estimation of Receiver Coil Sensitivities in SENSE Reconstruction

Afaq Ashfaq, Student, COMSATS University Islamabad, Pakistan

MRI Image Synthesis for the Diagnosis of Parkinson's Disease using Deep Learning
MRI Image Synthesis for the Diagnosis of Parkinson's Disease using Deep Learning

Neeyanth Kopparapu, Student, Thomas Jefferson High School for Science and Technology

Non-Invasive Diagnostics of Coronary Artery Disease using Machine Learning and Computational Fluid Dynamics
Non-Invasive Diagnostics of Coronary Artery Disease using Machine Learning and Computational Fluid Dynamics

Kritika Iyer, PhD Student, University of Michigan - Ann Arbor

Parallel MR Image reconstruction on GPUs
Parallel MR Image reconstruction on GPUs

Omair Inam, Assistant Professor, COMSATS University Islamabad

Automated Breast Cancer Subtyping with Deep Learning
Deep Learning Facilitate Cancer Detection and Type Classification from Gene Expression Data
Efficient Processing of Medical Videos in a Multi-auditory Environment Using GPU Lending
Non-Invasive Detection of Coronary Artery Disease
Rehabilitation AI to Predict Outcome and Hospital Days with Optimal Therapies
Risk Scoring Model of Ventricular Tachyarrhythmia using Convolutional Neural Networks
Novel Anti-Cancer Agents Using ‘Ai’
Accelerating a Sequential Update Optimization Algorithm for CT Statistical Reconstruction
Automatic Blood Cell types identification and classification with Deep Learning
Boosting Google Search Engine Accuracy For Dental X-Rays And Clinical Images
Clinical performance of fast and low-dose PET using deep learning
Deep learning for quantifying spatial distribution of chimeric antigen receptor T cells in tissue
Design of GPU Parallel Algorithms for Assisted Diagnosis of Prostate Cancer
GPU Based Parallel Framework for the Estimation of Receiver Coil Sensitivities in SENSE Reconstruction
MRI Image Synthesis for the Diagnosis of Parkinson's Disease using Deep Learning
Non-Invasive Diagnostics of Coronary Artery Disease using Machine Learning and Computational Fluid Dynamics
Parallel MR Image reconstruction on GPUs
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