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3740 Total Publications

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
Identification of Conversion from Normal Elderly Cognition to Alzheimer’s Disease using Multimodal Support Vector Machine.
Zhan Y, Chen K, Wu X, et al.
2015; Journal Journal of Alzheimer's Disease; vol. 47; no. 4; pp. 1057-67;
MR image super-resolution reconstruction using sparse representation, nonlocal similarity and sparse derivative prior.
Zhang, D., He, J., Zhao, Y., & Du, M.
2015; Journal Computers in Biology and Medicine; vol. 58; no. 0; pp. 130-145; doi:10.1016/j.compbiomed.2014.12.023
Equivalence of kernel machine regression and kernel distance covariance for multidimensional phenotype association studies
Wen-Yu Hua, Debashis Ghosh.
2015; Journal Biometrics; vol. 71; no. 3; pp. 812-820;