×
  • Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.
Filter results by:

1800 Total Publications

Analysis of longitudinal diffusion-weighted images in healthy and pathological aging: An ADNI study
F. Kruggel, F. Masaki, A. Solodkin and I. Alzheimer's Disease Neuroimaging
2017; Journal J Neurosci Methods; vol. 278; pp. 101-115; AWUWuRB8MOwVf_qbJr-y doi:10.1016/j.jneumeth.2016.12.020
Prediction and classification of Alzheimer disease based on quantification of MRI deformation
X. Long, L. Chen, C. Jiang, L. Zhang and I. Alzheimer's Disease Neuroimaging
PMCID:5338815 ; 2017; Journal PLoS One; vol. 12; no. 3; pp. e0173372; AWUWwDjFdzjauPDbjhtH doi:10.1371/journal.pone.0173372
Automatic Alzheimer’s Disease Recognition from MRI Data Using Deep Learning Method
S. Luo, X. Li and J. Li
2017; Journal Journal of Applied Mathematics and Physics; vol. 5; no. 9; pp. 1892; AWUWwDjFdzjauPDbjhtK doi:10.4236/jamp.2017.59159
DTI measurements for Alzheimer's classification
T. Maggipinto, R. Bellotti, N. Amoroso, D. Diacono, G. Donvito, E. Lella, A. Monaco, M. Antonella Scelsi and S. Tangaro
2017; Journal Phys Med Biol; vol. 62; no. 6; pp. 2361-2375; AWUWwDjFdzjauPDbjhtM doi:10.1088/1361-6560/aa5dbe
Detecting genetic association through shortest paths in a bidirected graph
M. Ueki, Y. Kawasaki, G. Tamiya and I. for Alzheimer's Disease Neuroimaging
PMCID:5849262 ; 2017; Journal Genet Epidemiol; vol. 41; no. 6; pp. 481-497; AWUWyMh1dzjauPDbjhtp doi:10.1002/gepi.22051
Automatic labeling of MR brain images through extensible learning and atlas forests
L. Xu, H. Liu, E. Song, M. Yan, R. Jin and C. C. Hung
2017; Journal Med Phys; vol. 44; no. 12; pp. 6329-6340; AWUWyMh1dzjauPDbjhtw doi:10.1002/mp.12591
Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer’s disease
K. Li and S. Luo
2017; Journal Statistical Methods in Medical Research; pp. 962280217722177; AWUWvDKLwAl_G9zjEviA doi:10.1177/0962280217722177
Frequency Specific Effects of ApoE epsilon4 Allele on Resting-State Networks in Nondemented Elders
Y. Liang, Z. Li, J. Wei, C. Li, X. Zhang and A. s. D. N. Initiative
PMCID:5370516 ; 2017; Journal Biomed Res Int; vol. 2017; pp. 9823501; AWUWvDKLwAl_G9zjEviB doi:10.1155/2017/9823501
Learning non-linear patch embeddings with neural networks for label fusion
G. Sanroma, O. M. Benkarim, G. Piella, O. Camara, G. Wu, D. Shen, J. D. Gispert, J. L. Molinuevo, M. A. Gonzalez Ballester and I. Alzheimer's Disease Neuroimaging
PMCID:5896774 ; 2017; Journal Med Image Anal; vol. 44; pp. 143-155; AWUWy9M1wAl_G9zjEviU doi:10.1016/j.media.2017.11.013
Risk factors for amyloid positivity in older people reporting significant memory concern
J. Zhang, W. Zhou, R. M. Cassidy, H. Su, Y. Su, X. Zhang and I. Alzheimer's Disease Neuroimaging
2017; Journal Compr Psychiatry; vol. 80; pp. 126-131; AWUWy9M1wAl_G9zjEviV doi:10.1016/j.comppsych.2017.09.015