×
  • 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

Multifactorial causal model of brain (dis) organization and therapeutic intervention: Application to Alzheimer’s disease
Y. Iturria-Medina, F. M. Carbonell, R. C. Sotero, F. Chouinard-Decorte, A. C. Evans and A. s. D. N. Initiative
2017; Journal NeuroImage; vol. 152; pp. 60-77; AWUWuRB8MOwVf_qbJr-t doi:10.1016/j.neuroimage.2017.02.058
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
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
Renal function affects hippocampal volume and cognition: The role of vascular burden and amyloid deposition
H. An, B. Choi, S. J. Son, E. Y. Cho, S. O. Kim, S. Cho, D. H. Kang, C. Lee, S. Y. Kim and I. Alzheimer's Disease Neuroimaging
2017; Journal Geriatr Gerontol Int; vol. 17; no. 11; pp. 1899-1906; AWUWXQ-hdzjauPDbjhsh doi:10.1111/ggi.12985
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