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Research ArticleAdult Brain
Open Access

Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning

L.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson and J. Li
American Journal of Neuroradiology March 2019, 40 (3) 418-425; DOI: https://doi.org/10.3174/ajnr.A5981

Article Information

vol. 40 no. 3 418-425
DOI 
https://doi.org/10.3174/ajnr.A5981
PubMed 
30819771
Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received June 11, 2018
  • Accepted after revision December 13, 2018
  • Published online March 14, 2019.

Article Versions

Copyright & Usage 
© 2019 by American Journal of Neuroradiology Indicates open access to non-subscribers at www.ajnr.org

Author Information

  1. L.S. Hua,
  2. H. Yoonf,
  3. J.M. Eschbacherg,
  4. L.C. Baxterh,
  5. A.C. Dueckk,
  6. A. Nespodzanyh,
  7. K.A. Smithi,
  8. P. Nakajii,
  9. Y. Xuf,
  10. L. Wangf,
  11. J.P. Karish,
  12. A.J. Hawkins-Daarudb,
  13. K.W. Singletonb,
  14. P.R. Jacksonb,
  15. B.J. Anderiesc,
  16. B.R. Bendokb,c,
  17. R.S. Zimmermanc,
  18. C. Quarlesj,
  19. A.B. Porter-Umphreyd,
  20. M.M. Mrugalad,
  21. A. Sharmad,
  22. J.M. Hoxwortha,
  23. M.G. Satturc,
  24. N. Sanaii,
  25. P.E. Koulemberisc,
  26. C. Krishnac,
  27. J.R. Mitchella,l,
  28. T. Wua,f,
  29. N.L. Trane,
  30. K.R. Swansonb,c and
  31. J. Lia,f
  1. aFrom the Department of Radiology (L.S.H., J.M.H., J.R.M., T.W., J.L.)
  2. bPrecision Neurotherapeutics Lab (A.J.H.-D., K.W.S., P.R.J, B.R.B., K.R.S.)
  3. cDepartment of Neurosurgery (B.J.A., B.R.B., R.S.Z., M.G.S., P.E.K., C.K., K.R.S.)
  4. dDepartment of Neuro-Oncology (A.B.P.-U., M.M.M., A.S.)
  5. eDepartment of Cancer Biology (N.L.T.), Mayo Clinic in Arizona, Phoenix, Arizona
  6. fArizona State University (H.Y., Y.X., L.W., T.W., J.L.), Tempe, Arizona
  7. gDepartments of Pathology (J.M.E.)
  8. hRadiology (L.C.B., A.N., J.P.K.)
  9. iNeurosurgery (K.A.S., P.N., N.S.)
  10. jNeuroimaging Research (C.Q.), Barrow Neurological Institute, Phoenix, Arizona
  11. kDepartment of Biostatistics (A.C.D.), Mayo Clinic in Arizona, Scottsdale, Arizona
  12. lH. Lee Moffitt Cancer Center and Research Institute (J.R.M.), Tampa, Florida.
  1. Please address correspondence to Leland S. Hu, MD, Department of Radiology, Mayo Clinic, 5777 E. Mayo Blvd., Phoenix, AZ 85054; e-mail: Hu.Leland{at}Mayo.Edu
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Funding

  • Mayo Clinic Foundation

    Mayo Clinic Foundation

  • National Cancer Institute

    3P50 CA108961; R01-CA221938; U01-CA220378

  • National Institute of Neurological Disorders and Stroke

    R21-NS082609

  • Ivy Foundation

  • James S. McDonnell Foundation

  • Arizona Biomedical Research Commission

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Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning
L.S. Hu, H. Yoon, J.M. Eschbacher, L.C. Baxter, A.C. Dueck, A. Nespodzany, K.A. Smith, P. Nakaji, Y. Xu, L. Wang, J.P. Karis, A.J. Hawkins-Daarud, K.W. Singleton, P.R. Jackson, B.J. Anderies, B.R. Bendok, R.S. Zimmerman, C. Quarles, A.B. Porter-Umphrey, M.M. Mrugala, A. Sharma, J.M. Hoxworth, M.G. Sattur, N. Sanai, P.E. Koulemberis, C. Krishna, J.R. Mitchell, T. Wu, N.L. Tran, K.R. Swanson, J. Li
American Journal of Neuroradiology Mar 2019, 40 (3) 418-425; DOI: 10.3174/ajnr.A5981
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