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

Research ArticleAdult Brain
Open Access

Development and Validation of a Deep Learning–Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images

C.H. Suh, W.H. Shim, S.J. Kim, J.H. Roh, J.-H. Lee, M.-J. Kim, S. Park, W. Jung, J. Sung, G.-H. Jahng, and for the Alzheimer’s Disease Neuroimaging Initiative
American Journal of Neuroradiology November 2020, DOI: https://doi.org/10.3174/ajnr.A6848
C.H. Suh
aFrom the Department of Radiology and Research Institute of Radiology (C.H.S., W.H.S., S.J.K.)
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W.H. Shim
aFrom the Department of Radiology and Research Institute of Radiology (C.H.S., W.H.S., S.J.K.)
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S.J. Kim
aFrom the Department of Radiology and Research Institute of Radiology (C.H.S., W.H.S., S.J.K.)
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J.H. Roh
bDepartment of Neurology (J.H.R., J.-H.L.)
dDepartment of Physiology (J.H.R.), Korea University College of Medicine, Seoul, Republic of Korea
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J.-H. Lee
bDepartment of Neurology (J.H.R., J.-H.L.)
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M.-J. Kim
cHealth Screening and Promotion Center (M.-J.K.), Asan Medical Center, Seoul, Republic of Korea
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S. Park
eVUNO Inc (S.P., W.J., J.S.), Seoul, Republic of Korea
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W. Jung
eVUNO Inc (S.P., W.J., J.S.), Seoul, Republic of Korea
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J. Sung
eVUNO Inc (S.P., W.J., J.S.), Seoul, Republic of Korea
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G.-H. Jahng,
fDepartment of Radiology (G.-H.J.), Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
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Article Information

DOI 
https://doi.org/10.3174/ajnr.A6848
PubMed 
33154073

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received March 4, 2020
  • Accepted after revision August 7, 2020
  • Published online November 5, 2020.

Article Versions

  • You are currently viewing a Latest version of this article (November 5, 2020 - 06:48).
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Copyright & Usage 
© 2020 by American Journal of Neuroradiology Indicates open access to non-subscribers at www.ajnr.org

Author Information

  1. C.H. Suha,
  2. W.H. Shima,
  3. S.J. Kima,
  4. J.H. Rohb,d,
  5. J.-H. Leeb,
  6. M.-J. Kimc,
  7. S. Parke,
  8. W. Junge,
  9. J. Sunge,
  10. G.-H. Jahng,f,
  11. for the Alzheimer’s Disease Neuroimaging Initiative
  1. aFrom the Department of Radiology and Research Institute of Radiology (C.H.S., W.H.S., S.J.K.)
  2. bDepartment of Neurology (J.H.R., J.-H.L.)
  3. cHealth Screening and Promotion Center (M.-J.K.), Asan Medical Center, Seoul, Republic of Korea
  4. dDepartment of Physiology (J.H.R.), Korea University College of Medicine, Seoul, Republic of Korea
  5. eVUNO Inc (S.P., W.J., J.S.), Seoul, Republic of Korea
  6. fDepartment of Radiology (G.-H.J.), Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
  1. Please address correspondence to Sang Joon Kim, MD, PhD, Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-Gu, Seoul 05505, Republic of Korea; e-mail: sjkimjb5{at}gmail.com
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Funding

  • Korean Health Technology R&D Project, Ministry of Health & Welfare

    HI11C1238 or A111282
  • Basic Science Research Program through the National Research Foundation of Korea (NRF)

    2014R1A2A2A01002728
  • Institute for Information & Communications Technology Promotion (IITP)

    C0510-18-1001

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C.H. Suh, W.H. Shim, S.J. Kim, J.H. Roh, J.-H. Lee, M.-J. Kim, S. Park, W. Jung, J. Sung, G.-H. Jahng,, for the Alzheimer’s Disease Neuroimaging Initiative
Development and Validation of a Deep Learning–Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images
American Journal of Neuroradiology Nov 2020, DOI: 10.3174/ajnr.A6848

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Development and Validation of a Deep Learning–Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images
C.H. Suh, W.H. Shim, S.J. Kim, J.H. Roh, J.-H. Lee, M.-J. Kim, S. Park, W. Jung, J. Sung, G.-H. Jahng,, for the Alzheimer’s Disease Neuroimaging Initiative
American Journal of Neuroradiology Nov 2020, DOI: 10.3174/ajnr.A6848
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