Author Correction: Predicting Alzheimer’s disease progression using multi-modal deep learning approach (Scientific Reports, (2019), 9, 1, (1952), 10.1038/s41598-018-37769-z)

Authors

Garam Lee, Ajou University
Kwangsik Nho, Indiana University School of Medicine
Byungkon Kang, Ajou University
Kyung Ah Sohn, Ajou University
Dokyoon Kim, Biomedical & Translational Informatics Institute
Michael W. Weiner, University of California, San Francisco
Paul Aisen, University of California, San Diego
Ronald Petersen, Mayo Clinic
Clifford R. Jack, Mayo Clinic
William Jagust, University of California, Berkeley
John Q. Trojanowki, University of Pennsylvania
Arthur W. Toga, University of Southern California
Laurel Beckett, University of California, Davis
Robert C. Green, Brigham and Women's Hospital
Andrew J. Saykin, Indiana University Bloomington
John Morris, Washington University in St. Louis
Leslie M. Shaw, University of Pennsylvania
Zaven Khachaturian, Prevent Alzheimer’s Disease 2020
Greg Sorensen, Siemens AG
Maria Carrillo, Alzheimer’s Association
Lew Kuller, University of Pittsburgh
Marc Raichle, Washington University in St. Louis
Steven Paul, Cornell University
Peter Davies, Albert Einstein College of Medicine
Howard Fillit, AD Drug Discovery Foundation
Franz Hefti, Acumen Pharmaceuticals
Davie Holtzman, Washington University in St. Louis
M. Marcel Mesulam, Northwestern University
William Potter, National Institute of Mental Health
Peter Snyder, Brown University
Tom Montine, University of Washington
Ronald G. Thomas, University of California, San Diego
Michael Donohue, University of California, San Diego
Sarah Walter, University of California, San Diego

Document Type

Article

Publication Date

12-1-2023

Abstract

Correction to: Scientific Reports, published online 13 February 2019 This Article contains errors. A Supplementary Information file was omitted from the original version of this Article. The Supplementary Information file is now linked to this correction notice.

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