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1800 Total Publications

ADCOMS: a composite clinical outcome for prodromal Alzheimer’s disease trials
J. Wang, V. Logovinsky, S. B. Hendrix, S. H. Stanworth, C. Perdomo, L. Xu, S. Dhadda, I. Do, M. Rabe, J. Luthman, J. Cummings and A. Satlin
PMID: 27010616 ; PMCID:5013117 ; 2016; Journal J Neurol Neurosurg Psychiatry; vol. 87; no. 9; pp. 993-9; AWTYnnPpwAl_G9zjEvez doi:10.1136/jnnp-2015-312383
Reproducibility of hippocampal atrophy rates measured with manual, FreeSurfer, AdaBoost, FSL/FIRST and the MAPS-HBSI methods in Alzheimer's disease.
K. S. Cover, R. A. van Schijndel, A. Versteeg, K. K. Leung, E. R. Mulder, R. A. Jong, P. J. Visser, A. Redolfi, J. Revillard, B. Grenier, D. Manset, S. Damangir, P. Bosco, H. Vrenken, B. W. van Dijk, G. B. Frisoni, F. Barkhof and n. Alzheimer's Disease Neuroimaging Initiative
PMID: 27179313 ; 2016; Journal Psychiatry Res Neuroimaging; vol. 252; pp. 26-35; AWTYkwj3dzjauPDbjhnq doi:10.1016/j.pscychresns.2016.04.006
Learning in data-limited multimodal scenarios: Scandent decision forests and tree-based features
S. Hor and M. Moradi
2016; Journal Med Image Anal; vol. 34; pp. 30-41; AWUV4qX5MOwVf_qbJr-A doi:10.1016/j.media.2016.07.012
Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine
K. A. Linn, B. Gaonkar, T. D. Satterthwaite, J. Doshi, C. Davatzikos and R. T. Shinohara
2016; Journal NeuroImage; vol. 132; pp. 157-166; AWUV4qX5MOwVf_qbJr-J doi:10.1016/j.neuroimage.2016.02.044
Risk factors and global cognitive status related to brain arteriolosclerosis in elderly individuals
E. T. Ighodaro, E. L. Abner, D. W. Fardo, A. L. Lin, Y. Katsumata, F. A. Schmitt, R. J. Kryscio, G. A. Jicha, J. H. Neltner, S. E. Monsell, W. A. Kukull, D. K. Moser, F. Appiah, A. D. Bachstetter, L. J. Van Eldik, I. Alzheimer's Disease Neuroimaging and P. T. Nelson
PMCID:5363738 ; 2016; Journal J Cereb Blood Flow Metab; vol. 37; no. 1; pp. 201-216; AWUWTaDCMOwVf_qbJr-g doi:10.1177/0271678X15621574
Combining Feature Extraction Methods to Assist the Diagnosis of Alzheimer’s Disease
Segovia, M. Górriz, J. Ramírez, Phillips and A. s. D. N. Initiative
2016; Journal Current Alzheimer Research; vol. 13; no. 7; pp. 831-837; AWUWDcoowAl_G9zjEvho
A Novel Imaging Marker for Small Vessel Disease Based on Skeletonization of White Matter Tracts and Diffusion Histograms
E. Baykara, B. Gesierich, R. Adam, A. M. Tuladhar, J. M. Biesbroek, H. L. Koek, S. Ropele, E. Jouvent, I. Alzheimer's Disease Neuroimaging, H. Chabriat, B. Ertl-Wagner, M. Ewers, R. Schmidt, F. E. de Leeuw, G. J. Biessels, M. Dichgans and M. Duering
2016; Journal Ann Neurol; vol. 80; no. 4; pp. 581-92; AWUVQIWPMOwVf_qbJr96 doi:10.1002/ana.24758
Clusters of male and female Alzheimer’s disease patients in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database
D. Gamberger, B. Zenko, A. Mitelpunkt, N. Shachar and N. Lavrac
PMID: 27525218 ; PMCID:4963443 ; 2016; Journal Brain Inform; vol. 3; no. 3; pp. 169-179; AWTYG0yudzjauPDbjhk7 doi:10.1007/s40708-016-0035-5
Metabolic connectomics targeting brain pathology in dementia with Lewy bodies
S. P. Caminiti, M. Tettamanti, A. Sala, L. Presotto, S. Iannaccone, S. F. Cappa, G. Magnani, D. Perani and I. Alzheimer's Disease Neuroimaging
PMID: 27306756 ; PMCID:5453453 ; 2016; Journal J Cereb Blood Flow Metab; vol. 37; no. 4; pp. 1311-1325; AWTYN5pfwAl_G9zjEvbw doi:10.1177/0271678X16654497
Structural MRI-based detection of Alzheimer’s disease using feature ranking and classification error
I. Beheshti, H. Demirel, F. Farokhian, C. Yang, H. Matsuda and I. Alzheimer's Disease Neuroimaging
PMID: 28110723 ; 2016; Journal Comput Methods Programs Biomed; vol. 137; pp. 177-193; AWTYmIlBwAl_G9zjEveK doi:10.1016/j.cmpb.2016.09.019