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Showing articles 0 to 10 of 10 Filter Applied: amyloid (Click to remove) Cerebral Microbleeds Stroke 52:2347-2355, Graff-Radford, J.,et al, 2021 Application of Deep Learning to Predict Standardized Uptake Value Ratio and Amyloid Status on 18F-Florbetapir PET Using ADNI Data AJNR 41:980-986, Reith, F.,et al, 2020 Predicting sites of New Hemorrhage with Amyloid Imaging in Cerebral Amyloid Angiopathy Neurol 79:320-326, Gurol, M.E.,et al, 2012 Conversion of Amyloid Positive and Negative MCI to AD over 3 Years: An 11C-PIB PET Study Neurol 73:754-760, 744, Okello,A.,et al, 2009 Pittsburg Compound B Imaging and Prediction of Progression From Cognitive Normality to Symptomatic Alzheimer Disease Arch Neurol 66:1469-1475, Morris,J.,et al, 2009 Assessment of �-Amyloid in a Frontal Cortical Brain Biopsy Specimen and by Positron Emission Tomography with Carbon 11-Labeled Pittsburgh Compound B Arch Neurol 65:1304-1309,1281, Leinonen,V.,et al, 2008 Frequent Amyloid Deposition Without Significant Cognitive Impairment Among the Elderly Arch Neurol 65:1509-1517, Aizenstein,H.J.,et al, 2008 Imaging of Amyloid Burden and Distribution in Cerebral Amyloid Angiopathy Ann Neurol 62:229-234, Johnson,K.A.,et al, 2007 Unusual Amyloid Polyneuropathy with Predominant Lumbosacral Nerve Roots and Plexus Involvement Neurol 41:206-208, Antoine,J.C.,et al, 1991 Computed Tomographic Features of Nonthyroid Extraocular Muscle Enlargement Ophthalmol 96:1038-1047, Patrinely,J.R.,et al, 1989 Showing articles 0 to 10 of 10