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Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities

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Science Translational Medicine  02 Sep 2015:
Vol. 7, Issue 303, pp. 303ra138
DOI: 10.1126/scitranslmed.aaa7582

Article Information

vol. 7 no. 303 303ra138

PubMed: 
Print ISSN: 
Online ISSN: 
History: 
  • Received for publication February 12, 2015
  • Accepted for publication August 4, 2015
  • .

Author Information

  1. Haruka Itakura1,
  2. Achal S. Achrol2,
  3. Lex A. Mitchell3,
  4. Joshua J. Loya2,
  5. Tiffany Liu1,
  6. Erick M. Westbroek4,
  7. Abdullah H. Feroze2,
  8. Scott Rodriguez2,
  9. Sebastian Echegaray5,
  10. Tej D. Azad2,
  11. Kristen W. Yeom3,
  12. Sandy Napel3,
  13. Daniel L. Rubin1,3,
  14. Steven D. Chang2,
  15. Griffith R. Harsh IV2,* and
  16. Olivier Gevaert1,*
  1. 1Division of Biomedical Informatics, Department of Medicine, Stanford University, Stanford, CA 94305, USA.
  2. 2Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA.
  3. 3Department of Radiology, Stanford University, Stanford, CA 94305, USA.
  4. 4Department of Neurosurgery, Johns Hopkins University, Baltimore, MD 21218, USA.
  5. 5Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
  1. Corresponding author. E-mail: olivier.gevaert{at}stanford.edu
    • * Co-senior authors.

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