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3393 Total Publications

Florbetapir positron emission tomography and cerebrospinal fluid biomarkers.
Hake, A., Trzepacz, P. T., Wang, S., Yu, P., Case, M., Hochstetler, H., … Dean, R. A.
2015; Journal Alzheimer's and Dementia; vol. 11; no. 8; pp. 986-93; doi:10.1016/j.jalz.2015.03.002
PLD3-variants in population studies.
Sven J. van der Lee, Henne Holstege, Tsz Hang Wong, Johanna Jakobsdottir, Joshua C. Bis, Vincent Chouraki, Jeroen G.J. van Rooij, Megan L. Grove, Albert V. Smith, Najaf Amin, Seung-Hoan Choi, Alexa S. Beiser, Melissa E. Garcia, Wilfred F.J. van IJcken, Yolande A.L. Pijnenburg, Eva Louwersheimer, Rutger W.W. Brouwer, Mirjam C.G.N. van den Hout, Edwin Oole, Gudny Eirkisdottir, Daniel Levy, Jerome I. Rotter, Valur Emilsson, Christopher J. O’Donnell, Thor Aspelund, Andre G. Uitterlinden, Lenore J. Launer, Albert Hofman, ADNI,* Eric Boerwinkle, Bruce M. Psaty, Anita L. DeStefano, Philip Scheltens, Sudha Seshadri, John C. van Swieten, Vilmundur Gudnason, Wiesje M. van der Flier, M. Arfan Ikram, and Cornelia M. van Duijn..
2015; Journal Nature;
Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages.
Cabral, C., Morgado, P. M., Campos Costa, D., & Silveira, M.
2015; Journal Computers in Biology and Medicine; vol. 58; pp. 101-109; doi:10.1016/j.compbiomed.2015.01.003
Detection of Alzheimer's disease signature in MR images seven years before conversion to dementia: Toward an early individual prognosis.
Coupé P1, Fonov VS2, Bernard C3,4,5, Zandifar A2, Eskildsen SF6, Helmer C7,8,9, Manjón JV10, Amieva H7,8,9, Dartigues JF7,8,11, Allard M3,4,5, Catheline G3,4,5, Collins DL2; Alzheimer's Disease Neuroimaging Initiative
PMID: 26454259 ; 2015; Journal Human Brain Mapping; vol. 36; no. 12; pp. 4758-70; doi:10.1002/hbm.22926
The role of visualization and 3-D printing in biological data mining.
Weiss, T. L., Zieselman, A., Hill, D. P., Diamond, S. G., Shen, L., Saykin, A. J., & Moore, J. H.
2015; Journal BioData Mining; vol. 8; pp. 22; doi:10.1186/s13040-015-0056-2
Mapping CSF biomarker profiles onto NIA–AA guidelines for Alzheimer’s disease.
Alexopoulos P, Roesler J, Thierjung N, et al.
2015; Journal European Archives of Psychiatry and Clinical Neuroscience; pp. 1-11;
Manifold regularized multitask feature learning for multimodality disease classification.
Jie, B., Zhang, D., Cheng, B., & Shen, D.
2015; Journal Human Brain Mapping; vol. 36; no. 2; pp. 489-507; doi:10.1002/hbm.22642
An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer’s disease.
Schmitter, D., Roche, A., Maréchal, B., Ribes, D., Abdulkadir, A., Bach-Cuadra, M., … Krueger, G.
2015; Journal Neuroimage: Clinical; vol. 7; pp. 7-17; doi:10.1016/j.nicl.2014.11.001
Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study.
Redolfi, A., Manset, D., Barkhof, F., Wahlund, L.-O., Glatard, T., Mangin, J.-F., & Frisoni, G. B.
2015; Journal PloS One; vol. 10; no. 3; pp. e0117692; doi:10.1371/journal.pone.0117692
Novel Statistically-Derived Composite Measures for Assessing the Efficacy of Disease-Modifying Therapies in Prodromal Alzheimer’s Disease Trials: An AIBL Study.
Burnham, S. C., Raghavan, N., Wilson, W., Baker, D., Ropacki, M. T., Novak, G., … Narayan, V. A.
2015; Journal Journal of Alzheimer's Disease; vol. 46; no. 4; pp. 1079-89; doi:10.3233/JAD-143015