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1800 Total Publications

Robust multi-atlas label propagation by deep sparse representation
C. Zu, Z. Wang, D. Zhang, P. Liang, Y. Shi, D. Shen and G. Wu
PMCID:5144541 ; 2016; Journal Pattern Recognit; vol. 63; pp. 511-517; AWUWXQ-hdzjauPDbjhsf doi:10.1016/j.patcog.2016.09.028
Structural Correlation-based Outlier Rejection (SCORE) algorithm for arterial spin labeling time series
S. Dolui, Z. Wang, R. T. Shinohara, D. A. Wolk, J. A. Detre and I. Alzheimer's Disease Neuroimaging
PMCID:5332532 ; 2016; Journal J Magn Reson Imaging; vol. 45; no. 6; pp. 1786-1797; AWUWTaDCMOwVf_qbJr-e doi:10.1002/jmri.25436
Predicting Regional Pattern of Longitudinal beta-Amyloid Accumulation by Baseline PET
T. Guo, M. Brendel, T. Grimmer, A. Rominger and I. Yakushev
PMCID:5373505 ; 2016; Journal J Nucl Med; vol. 58; no. 4; pp. 639-645; AWUWTaDCMOwVf_qbJr-f doi:10.2967/jnumed.116.176115
Reference tissue normalization in longitudinal (18)F-florbetapir positron emission tomography of late mild cognitive impairment
S. Shokouhi, J. W. McKay, S. L. Baker, H. Kang, A. B. Brill, H. E. Gwirtsman, W. R. Riddle, D. O. Claassen, B. P. Rogers and I. Alzheimer's Disease Neuroimaging
PMCID:4714472 ; 2016; Journal Alzheimers Res Ther; vol. 8; no. 1; pp. 2; AWUaKrcuwAl_G9zjEvie doi:10.1186/s13195-016-0172-3
Impact of MRI-based Segmentation Artifacts on Amyloid- and FDG-PET Quantitation
M. Hogenauer, M. Brendel, A. Delker, S. Darr, M. Weiss, P. Bartenstein, A. Rominger and I. Alzheimer's Disease Neuroimaging
2016; Journal Curr Alzheimer Res; vol. 13; no. 5; pp. 597-607; AWUVRazdwAl_G9zjEvhe
Default Mode Network Functional Connectivity in Early and Late Mild Cognitive Impairment: Results From the Alzheimer's Disease Neuroimaging Initiative
E. S. Lee, K. Yoo, Y. B. Lee, J. Chung, J. E. Lim, B. Yoon, Y. Jeong and I. Alzheimer's Disease Neuroimaging
2016; Journal Alzheimer Dis Assoc Disord; vol. 30; no. 4; pp. 289-296; AWUV4qX5MOwVf_qbJr-H doi:10.1097/WAD.0000000000000143
Multimodal Classification of Mild Cognitive Impairment Based on Partial Least Squares
P. Wang, K. Chen, L. Yao, B. Hu, X. Wu, J. Zhang, Q. Ye, X. Guo and I. Alzheimer's Disease Neuroimaging
2016; Journal J Alzheimers Dis; vol. 54; no. 1; pp. 359-71; AWUWFPdmMOwVf_qbJr-S doi:10.3233/JAD-160102
A nonparametric approach for mild cognitive impairment to AD conversion prediction: Results on longitudinal data
S. Minhas, A. Khanum, F. Riaz, A. Alvi and S. A. Khan
2016; Journal IEEE journal of biomedical and health informatics; vol. 21; no. 5; pp. 1403-1410; AWUWTMDWdzjauPDbjhsT doi:10.1109/JBHI.2016.2608998
Physiological fluctuations in white matter are increased in Alzheimer’s disease and correlate with neuroimaging and cognitive biomarkers
I. Makedonov, J. J. Chen, M. Masellis, B. J. MacIntosh and I. Alzheimer's Disease Neuroimaging
PMID: 26476600 ; 2015; Journal Neurobiol Aging; vol. 37; pp. 18-Dec; AWTYNIDFwAl_G9zjEvbI doi:10.1016/j.neurobiolaging.2015.09.010
Mapping 3-year changes in gray matter and metabolism in Ab-positive nondemented subjects
Araque Caballero MÁ1, Brendel M2, Delker A2, Ren J3, Rominger A2, Bartenstein P2, Dichgans M4, Weiner MW5, Ewers M3; Alzheimer's Disease Neuroimaging Initative (ADNI).
PMID: 26476234 ; PMCID:5862042 ; 2015; Journal Neurobiology of Aging; vol. 36; no. 11; pp. 2913-2924; AWTYNIDFwAl_G9zjEvbL doi:10.1016/j.neurobiolaging.2015.08.007