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1800 Total Publications

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; AWUVOl88MOwVf_qbJr9d 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; AWUVOl88MOwVf_qbJr9j 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; AWUVOl88MOwVf_qbJr9k 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; AWUVMFh7MOwVf_qbJr9E 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; AWUVMFh7MOwVf_qbJr9G
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; AWUVMFh7MOwVf_qbJr9S 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; AWUVLgpedzjauPDbjhr6
Technical performance of a novel, fully automated electrochemiluminescence immunoassay for the quantitation of β-amyloid (1–42) in human cerebrospinal fluid
T. Bittner, H. Zetterberg, C. H. Teunissen, R. H. Ostlund, M. Militello, Andreasson, Hubeek, D. Gibson, D. C. Chu and y. Eichenlaub
2015; Journal Alzheimer's & Dementia; vol. 12; no. 5; pp. 517-526; AWUVOl88MOwVf_qbJr9m doi:10.1016/j.jalz.2015.09.009
Cortical Amyloid beta Deposition and Current Depressive Symptoms in Alzheimer Disease and Mild Cognitive Impairment
J. K. Chung, E. Plitman, S. Nakajima, M. M. Chakravarty, F. Caravaggio, P. Gerretsen, Y. Iwata, A. Graff-Guerrero and I. Alzheimer's Disease Neuroimaging
2015; Journal J Geriatr Psychiatry Neurol; vol. 29; no. 3; pp. 149-59; AWUVOl88MOwVf_qbJr9n doi:10.1177/0891988715606230
Estimating ct image from mri data using structured random forest and auto-context model
T. Huynh, Y. Gao, J. Kang, L. Wang, P. Zhang, J. Lian and Shen
2015; Journal IEEE transactions on medical imaging; vol. 35; no. 1; pp. 174-183; AWUVOl88MOwVf_qbJr9r doi:10.1109/TMI.2015.2461533