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Publications

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2110 Total Publications

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
2019; Journal Journal of Alzheimers Disease; vol. 71; no. 1; pp. 281-290;
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
2019; Journal PLoS One; vol. 14; no. 12; pp. e0226577;
Multilevel Feature Representation of FDG-PET Brain Images for Diagnosing Alzheimer's Disease
Pan, X, Adel, M, Fossati, C, Gaidon, T and Guedj, E
2019; Journal IEEE J Biomed Health Inform; vol. 23; no. 4; pp. 1499-1506;
A beta-induced vulnerability propagates via the brain's default mode network
Pascoal, TA, Mathotaarachchi, S, Kang, MS, Mohaddes, S, Shin, M, Park, AY, Parent, MJ, Benedet, AL, Chamoun, M, Therriault, J, Hwang, H, Cuello, AC, Misic, B, Soucy, JP, Aston, JAD, Gauthier, S and Rosa-Neto, P
2019; Journal Nature Communications; vol. 10; pp. 13;
Association of Rare Coding Mutations With Alzheimer Disease and Other Dementias Among Adults of European Ancestry
Patel, DM, Jesse: Vardarajan, Badri N: Staley, Lyndsay: Chung, Jaeyoon: Zhang, Xiaoling: Farrell, John J: Rynkiewicz, Michael J: Cannon-Albright, Lisa A: Teerlink, Craig C
2019; Journal JAMA network open; vol. 2; no. 3; pp. e191350-e191350;
Quantifying Neurodegenerative Progression with DeepSymNet, an end-to-end data-driven approach
Pena, D, Barman, A, Suescun, JS, Jiang, X, Schiess, MC and Giancardo, L
2019; Journal Frontiers in neuroscience; vol. 13; pp. 1053;
Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis
Peng, Jialin, Zhu, Xiaofeng, Wang, Ye, An, Le and Shen, Dinggang
2019; Journal Pattern Recognition; vol. 88; pp. 370-382;
Modeling Multi-View Dependence in Bayesian Networks for Alzheimer's Disease Detection
Pillai, PS and Leong, TY
2019; Journal Stud Health Technol Inform; vol. 264; pp. 358-362;
Accurate, rapid and reliable, fully automated MRI brainstem segmentation for application in multiple sclerosis and neurodegenerative diseases
Sander, L, Pezold, S, Andermatt, S, Amann, M, Meier, D, Wendebourg, MJ, Sinnecker, T, Radue, EW, Naegelin, Y, Granziera, C, Kappos, L, Wuerfel, J, Cattin, P and Schlaeger, R
2019; Journal Hum Brain Mapp; vol. 40; no. 14; pp. 4091-4104;
Longitudinal Mapping of Cortical Thickness Measurements: An Alzheimer's Disease Neuroimaging Initiative-Based Evaluation Study
Tustison, NJH, A. J.: Avants, B. B.: Roberts, J. M.: Cook, P. A.: Reagh, Z. M.: Duda, J. T.: Stone, J. R.: Gillen, D. L.: Yassa, M. A.
2019; Journal J Alzheimers Dis; vol. 71; no. 1; pp. 165-183;