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