Alzheimer’s Disease Neuroimaging Initiative

5586 Total Publications

Year	Title	Author	Journal
2019	Local Indicators of Spatial Autocorrelation (LISA): Application to Blind Noise-Based Perceptual Quality Metric Index for Magnetic Resonance Images	Osadebey, M, Pedersen, M, Arnold, D and Wendel-Mitoraj, K	Journal Journal of Imaging;
2019	Adverse Vascular Risk Relates to Cerebrospinal Fluid Biomarker Evidence of Axonal Injury in the Presence of Alzheimer's Disease Pathology	Osborn, KE, Alverio, JM, Dumitrescu, L, Pechman, KR, Gifford, KA, Hohman, TJ, Blennow, K, Zetterberg, H, Jefferson, AL and Alzheimers Dis Neuroimaging, I	Journal Journal of Alzheimers Disease;
2019	The use of back propagation neural networks and 18F-Florbetapir PET for early detection of Alzheimer's disease using Alzheimer's Disease Neuroimaging Initiative database	Ozsahin, I, Sekeroglu, B and Mok, GSP	Journal PLoS One;
2019	Combining hippocampal volume metrics to better understand Alzheimer's disease progression in at-risk individuals	McRae-McKee, K, Evans, S, Hadjichrysanthou, C, Wong, MM, de Wolf, F and Anderson, RM	Journal 25;
2019	Resting state functional connectivity changes after MR-guided focused ultrasound mediated blood-brain barrier opening in patients with Alzheimer's disease	Meng, Y, MacIntosh, BJ, Shirzadi, Z, Kiss, A, Bethune, A, Heyn, C, Mithani, K, Hamani, C, Black, SE, Hynynen, K and Lipsman, N	Journal Neuroimage;
2019	Left frontal connectivity attenuates the adverse effect of entorhinal tau pathology on memory	Neitzel, JF, N.: Rubinski, A.: Ewers, M.	Journal Neurology;
2019	Brain MR Radiomics to Differentiate Cognitive Disorders	Ranjbar, S, Velgos, SN, Dueck, AC, Geda, YE and Mitchell, JR	Journal Journal of Neuropsychiatry and Clinical Neurosciences;
2019	An intelligent Alzheimer's disease diagnosis method using unsupervised feature learning	Razavi, F, Tarokh, MJ and Alborzi, M	Journal Journal of Big Data;
2019	Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation	Eitel, F, Soehler, E, Bellmann-Strobl, J, Brandt, AU, Ruprecht, K, Giess, RM, Kuchling, J, Asseyer, S, Weygandt, M, Haynes, JD, Scheel, M, Paul, F and Ritter, K	Journal Neuroimage-Clinical;
2019	Using path signatures to predict a diagnosis of Alzheimer’s disease	Moore, PJ, Lyons, TJ and Gallacher, J	Journal PLoS ONE;