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Publications

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3393 Total Publications

Altered nucleus basalis connectivity predicts treatment response in mild cognitive impairment
Meng, Dewen, Li, Xingfeng, Bauer, Markus, Taylor, John-Paul, Auer, Dorothee P and Initiative, Alzheimer's Disease Neuroimaging
PMID: 30204076 ; 2018; Journal Radiology; pp. 180092;

Amyloid beta–positive subjects exhibit longitudinal network-specific reductions in spontaneous brain activity
Avants, Brian B, Hutchison, R Matthew, Mikulskis, Alvydas, Salinas-Valenzuela, Cristian, Hargreaves, Richard, Beaver, John, Chiao, Ping and Initiative, Alzheimer’s Disease Neuroimaging
PMID: 30471630 ; 2018; Journal Neurobiology of Aging;

Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks
Li, F. and Liu, M.
PMID: 30340094 ; 2018; Journal Comput Med Imaging Graph; vol. 70; pp. 101-110;

Intrinsic neurocognitive network connectivity differences between normal aging and mild cognitive impairment are associated with cognitive status and age
Sullivan, Margot D, Anderson, John AE, Turner, Gary R, Spreng, R Nathan and Initiative, Alzheimer’s Disease Neuroimaging
PMID: 30391818 ; 2018; Journal Neurobiology of aging;

Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging Initiative
Veitch, D. P., Weiner, M. W., Aisen, P. S., Beckett, L. A., Cairns, N. J., Green, R. C., Harvey, D., Jack, C. R., Jr., Jagust, W., Morris, J. C., Petersen, R. C., Saykin, A. J., Shaw, L. M., Toga, A. W. and Trojanowski, J. Q.
PMID: 30321505 ; 2018; Journal Alzheimers Dement;

Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis
Zhou, T., Thung, K. H., Zhu, X. and Shen, D.
PMID: 30381863 ; 2018; Journal Hum Brain Mapp;

Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis
M. Liu, D. Cheng, K. Wang and Y. Wang
2018; Journal Neuroinformatics; doi:10.1007/s12021-018-9370-4

Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study
V. R. Varma, A. M. Oommen, S. Varma, R. Casanova, Y. An, R. M. Andrews, R. O'Brien, O. Pletnikova, J. C. Troncoso, J. Toledo, R. Baillie, M. Arnold, G. Kastenmueller, K. Nho, P. M. Doraiswamy, A. J. Saykin, R. Kaddurah-Daouk, C. Legido-Quigley and M. Thambisetty
PMCID:5784884 ; 2018; Journal PLoS Med; vol. 15; no. 1; pp. e1002482; doi:10.1371/journal.pmed.1002482

Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus Segmentation
Y. Wang, G. Ma, X. Wu and J. Zhou
2018; Journal Neuroinformatics; doi:10.1007/s12021-018-9364-2

ℓ2, 1− ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer’s disease
P. Cao, X. Liu, J. Yang, D. Zhao, M. Huang and O. Zaiane
2018; Journal Pattern Recognition; vol. 79; pp. 195-215;