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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleAdult Brain

Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke

Y. Yu, Y. Xie, T. Thamm, E. Gong, J. Ouyang, S. Christensen, M.P. Marks, M.G. Lansberg, G.W. Albers and G. Zaharchuk
American Journal of Neuroradiology June 2021, 42 (6) 1030-1037; DOI: https://doi.org/10.3174/ajnr.A7081
Y. Yu
aFrom the Radiology Department (Y.Y., Y.X., T.T., M.P.M., G.Z.), Stanford University, California
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  • ORCID record for Y. Yu
Y. Xie
aFrom the Radiology Department (Y.Y., Y.X., T.T., M.P.M., G.Z.), Stanford University, California
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T. Thamm
aFrom the Radiology Department (Y.Y., Y.X., T.T., M.P.M., G.Z.), Stanford University, California
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E. Gong
bElectrical Engineering Department (E.G., J.O.), Stanford University, California
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J. Ouyang
bElectrical Engineering Department (E.G., J.O.), Stanford University, California
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S. Christensen
cNeurology Department (S.C., M.G.L., G.W.A.), Stanford University, California
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M.P. Marks
aFrom the Radiology Department (Y.Y., Y.X., T.T., M.P.M., G.Z.), Stanford University, California
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M.G. Lansberg
cNeurology Department (S.C., M.G.L., G.W.A.), Stanford University, California
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G.W. Albers
cNeurology Department (S.C., M.G.L., G.W.A.), Stanford University, California
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G. Zaharchuk
aFrom the Radiology Department (Y.Y., Y.X., T.T., M.P.M., G.Z.), Stanford University, California
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Article Information

vol. 42 no. 6 1030-1037
DOI 
https://doi.org/10.3174/ajnr.A7081
PubMed 
33766823

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received July 30, 2020
  • Accepted after revision December 28, 2020
  • Published online June 10, 2021.

Article Versions

  • Latest version (March 25, 2021 - 11:06).
  • You are viewing the most recent version of this article.
Copyright & Usage 
© 2021 by American Journal of Neuroradiology

Author Information

  1. Y. Yua,
  2. Y. Xiea,
  3. T. Thamma,
  4. E. Gongb,
  5. J. Ouyangb,
  6. S. Christensenc,
  7. M.P. Marksa,
  8. M.G. Lansbergc,
  9. G.W. Albersc and
  10. G. Zaharchuka
  1. aFrom the Radiology Department (Y.Y., Y.X., T.T., M.P.M., G.Z.), Stanford University, California
  2. bElectrical Engineering Department (E.G., J.O.), Stanford University, California
  3. cNeurology Department (S.C., M.G.L., G.W.A.), Stanford University, California
  1. Please address correspondence to Greg Zaharchuk, MD, PhD, The Richard M. Lucas Center for Imaging, Department of Radiology, Stanford University, 1201 Welch Road, Stanford, CA 94305. e-mail: gregz{at}stanford.edu; @yannan_yu; @GregZ_MD
View Full Text

Funding

  • National Institute of Neurological Disorders and Stroke

    R01-NS039325; R01-NS066506

Altmetrics

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Y. Yu, Y. Xie, T. Thamm, E. Gong, J. Ouyang, S. Christensen, M.P. Marks, M.G. Lansberg, G.W. Albers, G. Zaharchuk
Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke
American Journal of Neuroradiology Jun 2021, 42 (6) 1030-1037; DOI: 10.3174/ajnr.A7081

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Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke
Y. Yu, Y. Xie, T. Thamm, E. Gong, J. Ouyang, S. Christensen, M.P. Marks, M.G. Lansberg, G.W. Albers, G. Zaharchuk
American Journal of Neuroradiology Jun 2021, 42 (6) 1030-1037; DOI: 10.3174/ajnr.A7081
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Cited By...

  • Deep learning-based detection and segmentation of diffusion abnormalities in acute ischemic stroke
  • Crossref (25)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Deep learning-based detection and segmentation of diffusion abnormalities in acute ischemic stroke
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  • Clinical Imaging of the Penumbra in Ischemic Stroke: From the Concept to the Era of Mechanical Thrombectomy
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    Frontiers in Cardiovascular Medicine 2022 9
  • Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke: A Systematic Review
    Ela Marie Z. Akay, Adam Hilbert, Benjamin G. Carlisle, Vince I. Madai, Matthias A. Mutke, Dietmar Frey
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  • Predicting Hypoperfusion Lesion and Target Mismatch in Stroke from Diffusion-weighted MRI Using Deep Learning
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    Radiology 2023 307 1
  • Predicting final ischemic stroke lesions from initial diffusion-weighted images using a deep neural network
    Sanaz Nazari-Farsani, Yannan Yu, Rui Duarte Armindo, Maarten Lansberg, David S. Liebeskind, Gregory Albers, Soren Christensen, Craig S. Levin, Greg Zaharchuk
    NeuroImage: Clinical 2023 37
  • Improving Ischemic Stroke Care With MRI and Deep Learning Artificial Intelligence
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  • Application of Deep Learning to Ischemic and Hemorrhagic Stroke Computed Tomography and Magnetic Resonance Imaging
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    Seminars in Ultrasound, CT and MRI 2022 43 2
  • Performance of Machine Learning for Tissue Outcome Prediction in Acute Ischemic Stroke: A Systematic Review and Meta-Analysis
    Xinrui Wang, Yiming Fan, Nan Zhang, Jing Li, Yang Duan, Benqiang Yang
    Frontiers in Neurology 2022 13
  • Automatic identification of early ischemic lesions on non-contrast CT with deep learning approach
    Prasan Kumar Sahoo, Sulagna Mohapatra, Ching-Yi Wu, Kuo-Lun Huang, Ting-Yu Chang, Tsong-Hai Lee
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