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

Research ArticleAdult Brain
Open Access

Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance: A Prospective, Multicenter, Multireader Trial

S. Bash, L. Wang, C. Airriess, G. Zaharchuk, E. Gong, A. Shankaranarayanan and L.N. Tanenbaum
American Journal of Neuroradiology December 2021, 42 (12) 2130-2137; DOI: https://doi.org/10.3174/ajnr.A7358
S. Bash
aFrom the RadNet Inc (S.B., L.N.T.), Los Angeles, California
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L. Wang
bSubtle Medical (L.W., E.G., A.S.), Menlo Park, California
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C. Airriess
cCortechs.ai. (C.A.), San Diego, California.
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G. Zaharchuk
dStanford University Medical Center (G.Z.), Stanford, California
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E. Gong
bSubtle Medical (L.W., E.G., A.S.), Menlo Park, California
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A. Shankaranarayanan
bSubtle Medical (L.W., E.G., A.S.), Menlo Park, California
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L.N. Tanenbaum
aFrom the RadNet Inc (S.B., L.N.T.), Los Angeles, California
eLenox Hill Radiolog (L.N.T.), New York, New York
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Article Information

vol. 42 no. 12 2130-2137
DOI 
https://doi.org/10.3174/ajnr.A7358
PubMed 
34824098

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received October 25, 2020
  • Accepted after revision August 17, 2021
  • Published online December 13, 2021.

Article Versions

  • Latest version (November 25, 2021 - 06:07).
  • You are viewing the most recent version of this article.
Copyright & Usage 
© 2021 by American Journal of Neuroradiology Indicates open access to non-subscribers at www.ajnr.org

Author Information

  1. S. Basha,
  2. L. Wangb,
  3. C. Airriessc,
  4. G. Zaharchukd,
  5. E. Gongb,
  6. A. Shankaranarayananb and
  7. L.N. Tanenbauma,e
  1. aFrom the RadNet Inc (S.B., L.N.T.), Los Angeles, California
  2. bSubtle Medical (L.W., E.G., A.S.), Menlo Park, California
  3. cCortechs.ai. (C.A.), San Diego, California.
  4. dStanford University Medical Center (G.Z.), Stanford, California
  5. eLenox Hill Radiolog (L.N.T.), New York, New York
  1. Please address correspondence to Suzie Bash, MD, RadNet, 1510 Cotner Ave, Los Angeles, CA 90025; e-mail: suzie.bash{at}radnet.com; @suzie_bash
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Cite this article
S. Bash, L. Wang, C. Airriess, G. Zaharchuk, E. Gong, A. Shankaranarayanan, L.N. Tanenbaum
Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance: A Prospective, Multicenter, Multireader Trial
American Journal of Neuroradiology Dec 2021, 42 (12) 2130-2137; DOI: 10.3174/ajnr.A7358

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Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance: A Prospective, Multicenter, Multireader Trial
S. Bash, L. Wang, C. Airriess, G. Zaharchuk, E. Gong, A. Shankaranarayanan, L.N. Tanenbaum
American Journal of Neuroradiology Dec 2021, 42 (12) 2130-2137; DOI: 10.3174/ajnr.A7358
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