Research ArticleADULT BRAIN
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An Automated Statistical Technique for Counting Distinct Multiple Sclerosis Lesions
J.D. Dworkin, K.A. Linn, I. Oguz, G.M. Fleishman, R. Bakshi, G. Nair, P.A. Calabresi, R.G. Henry, J. Oh, N. Papinutto, D. Pelletier, W. Rooney, W. Stern, N.L. Sicotte, D.S. Reich, R.T. Shinohara and the North American Imaging in Multiple Sclerosis Cooperative
American Journal of Neuroradiology February 2018, DOI: https://doi.org/10.3174/ajnr.A5556
J.D. Dworkin
aFrom the Departments of Biostatistics, Epidemiology, and Informatics (J.D.D., K.A.L., R.T.S.)
K.A. Linn
aFrom the Departments of Biostatistics, Epidemiology, and Informatics (J.D.D., K.A.L., R.T.S.)
I. Oguz
bRadiology (I.O., G.M.F.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
G.M. Fleishman
bRadiology (I.O., G.M.F.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
R. Bakshi
cLaboratory for Neuroimaging Research (R.B.), Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases
dDepartments of Neurology (R.B.)
eRadiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
G. Nair
fTranslational Neuroradiology Section (G.N., D.S.R.), National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
P.A. Calabresi
gDepartment of Neurology (P.A.C., J.O., D.S.R.), the Johns Hopkins University School of Medicine, Baltimore, Maryland
R.G. Henry
hDepartment of Neurology (R.G.H., N.P., W.S.), University of California, San Francisco, San Francisco, California
J. Oh
iKeenan Research Centre for Biomedical Science (J.O.), St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
N. Papinutto
hDepartment of Neurology (R.G.H., N.P., W.S.), University of California, San Francisco, San Francisco, California
D. Pelletier
jDepartment of Neurology (D.P.), Keck School of Medicine, University of Southern California, Los Angeles, California
W. Rooney
kAdvanced Imaging Research Center (W.R.), Oregon Health & Science University, Portland, Oregon
W. Stern
hDepartment of Neurology (R.G.H., N.P., W.S.), University of California, San Francisco, San Francisco, California
N.L. Sicotte
lDepartment of Neurology (N.L.S.), Cedars-Sinai Medical Center, Los Angeles, California.
D.S. Reich
fTranslational Neuroradiology Section (G.N., D.S.R.), National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
gDepartment of Neurology (P.A.C., J.O., D.S.R.), the Johns Hopkins University School of Medicine, Baltimore, Maryland
R.T. Shinohara
aFrom the Departments of Biostatistics, Epidemiology, and Informatics (J.D.D., K.A.L., R.T.S.)
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An Automated Statistical Technique for Counting Distinct Multiple Sclerosis Lesions
J.D. Dworkin, K.A. Linn, I. Oguz, G.M. Fleishman, R. Bakshi, G. Nair, P.A. Calabresi, R.G. Henry, J. Oh, N. Papinutto, D. Pelletier, W. Rooney, W. Stern, N.L. Sicotte, D.S. Reich, R.T. Shinohara, the North American Imaging in Multiple Sclerosis Cooperative
American Journal of Neuroradiology Feb 2018, DOI: 10.3174/ajnr.A5556
An Automated Statistical Technique for Counting Distinct Multiple Sclerosis Lesions
J.D. Dworkin, K.A. Linn, I. Oguz, G.M. Fleishman, R. Bakshi, G. Nair, P.A. Calabresi, R.G. Henry, J. Oh, N. Papinutto, D. Pelletier, W. Rooney, W. Stern, N.L. Sicotte, D.S. Reich, R.T. Shinohara, the North American Imaging in Multiple Sclerosis Cooperative
American Journal of Neuroradiology Feb 2018, DOI: 10.3174/ajnr.A5556
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