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4453 Total Publications

Genome-wide association study identifies two loci influencing plasma neurofilament light levels
J. Q. Li, X. Z. Yuan, H. Y. Li, X. P. Cao, J. T. Yu, L. Tan and W. A. Chen
PMCID:5946407 ; 2018; Journal BMC Med Genomics; vol. 11; no. 1; pp. 47; doi:10.1186/s12920-018-0364-8

Increasing Inaccuracy of Self-Reported Subjective Cognitive Complaints Over 24 Months in Empirically Derived Subtypes of Mild Cognitive Impairment
Edmonds, Emily C, Weigand, Alexandra J, Thomas, Kelsey R, Eppig, Joel, Delano-Wood, Lisa, Galasko, Douglas R, Salmon, David P and Bondi, Mark W
PMID: 30278855 ; 2018; Journal Journal of the International Neuropsychological Society; vol. 24; no. 8; pp. 842-853;

ABNORMAL HOLE DETECTION IN BRAIN CONNECTIVITY BY KERNEL DENSITY OF PERSISTENCE DIAGRAM AND HODGE LAPLACIAN
Lee, H., Chung, M. K., Kang, H., Choi, H., Kim, Y. K. and Lee, D. S.
PMID: 30319734 ; PMCID:6181146 ; 2018; Journal Proc IEEE Int Symp Biomed Imaging; vol. 2018; pp. 20-23;

Evaluation of non-negative matrix factorization of grey matter in age prediction
D. P. Varikuti, S. Genon, A. Sotiras, H. Schwender, F. Hoffstaedter, K. R. Patil, C. Jockwitz, S. Caspers, S. Moebus, K. Amunts, C. Davatzikos and S. B. Eickhoff
2018; Journal Neuroimage; vol. 173; pp. 394-410; doi:10.1016/j.neuroimage.2018.03.007

Defining SNAP by cross-sectional and longitudinal definitions of neurodegeneration
L. E. M. Wisse, S. R. Das, C. Davatzikos, B. C. Dickerson, S. X. Xie, P. A. Yushkevich and D. A. Wolk
PMCID:5816023 ; 2018; Journal Neuroimage Clin; vol. 18; pp. 407-412; doi:10.1016/j.nicl.2018.02.008

KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images
T. Eo, Y. Jun, T. Kim, J. Jang, H. J. Lee and D. Hwang
2018; Journal Magnetic resonance in medicine;

Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis
B. Jie, M. Liu, D. Zhang and D. Shen
2018; Journal IEEE Transactions on Image Processing; vol. 27; no. 5; pp. 2340-2353;

Amyloid and FDG PET of Successful Cognitive Aging: Global and Cingulate-Specific Differences
Baran, T. M. and Lin, F. V.
PMID: 30282358 ; 2018; Journal J Alzheimers Dis; vol. 66; no. 1; pp. 307-318;

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using (18)F-FDG PET of the Brain
Ding, Y., Sohn, J. H., Kawczynski, M. G., Trivedi, H., Harnish, R., Jenkins, N. W., Lituiev, D., Copeland, T. P., Aboian, M. S., Mari Aparici, C., Behr, S. C., Flavell, R. R., Huang, S. Y., Zalocusky, K. A., Nardo, L., Seo, Y., Hawkins, R. A., Hernandez Pampaloni, M., Hadley, D. and Franc, B. L.
PMID: 30398430 ; 2018; Journal Radiology; pp. 180958;

A structural equation model for imaging genetics using spatial transcriptomics
Huisman, S. M. H., Mahfouz, A., Batmanghelich, N. K., Lelieveldt, B. P. F. and Reinders, M. J. T.
PMID: 30390165 ; 2018; Journal Brain Inform; vol. 5; no. 2; pp. 13;