×
  • 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:
Year Range:

-
Journal
Authors

3740 Total Publications

Biological heterogeneity in ADNI amnestic mild cognitive impairment
Nettiksimmons, J., DeCarli, C., Landau, S., & Beckett, L.
PMID: 24418061 ; PMCID:4092059 ; 2014; Journal Alzheimer's and Dementia; vol. 10; no. 5; pp. 511-521.e1; doi:10.1016/j.jalz.2013.09.003
A Robust Deep Model for Improved Classification of AD/MCI Patients
Li, F., Tran, L., Thung, K.-H., Ji, S., Shen, D., & Li, J.
PMID: 25955998 ; PMCID:4573581 ; 2014; Journal Machine Learning in Medical Imaging; vol. 8679; pp. 240-247; doi:10.1007/978-3-319-10581-9_30
Hierarchical Interactions Model for Predicting Mild Cognitive Impairment (MCI) to Alzheimer’s Disease (AD) Conversion
Li, H., Liu, Y., Gong, P., Zhang, C., & Ye, J.
PMID: 24416143 ; PMCID:3885394 ; 2014; Journal PloS One; vol. 9; no. 1; pp. e82450; doi:10.1371/journal.pone.0082450
Longitudinal Effects of Metabolic Syndrome on Alzheimer and Vascular Related Brain Pathology
Lin, F., Lo, R. Y., Cole, D., Ducharme, S., Chen, D.-G., Mapstone, M., & Porsteinsson, A.
PMID: 25337075 ; 2014; Journal Dementia and Geriatric Cognitive Disorders Extra; vol. 4; no. 2; pp. 184-94; doi:10.1159/000363285
Hierarchical Fusion of Features and Classifier Decisions for Alzheimer’s Disease Diagnosis
Liu, M., Zhang, D., & Shen, D.
PMID: 23417832 ; PMCID:4132886 ; 2014; Journal Human Brain Mapping; vol. 35; no. 4; pp. 1305-19; doi:10.1002/hbm.22254
Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images
Lorenzi M1, Pennec X2, Frisoni GB3, Ayache N2; Alzheimer's Disease Neuroimaging Initiative
PMID: 25311276 ; 2014; Journal Neurobiology of Aging; vol. 36; pp. S42-52; doi:10.1016/j.neurobiolaging.2014.07.046
Disease progression model for Clinical Dementia Rating-Sum of Boxes in mild cognitive impairment and Alzheimer's subjects from the Alzheimer's Disease Neuroimaging Initiative
Samtani, M. N., Raghavan, N., Novak, G., Nandy, P., & Narayan, V. A.
PMID: 24926196 ; PMCID:4049432 ; 2014; Journal Neuropsychiatric Disease and Treatment; vol. 10; pp. 929-52; doi:10.2147/NDT.S62323
Low levels of cerebrospinal fluid complement 3 and factor H predict faster cognitive decline in mild cognitive impairment
Toledo, J. B., Korff, A., Shaw, L. M., Trojanowski, J. Q., & Zhang, J.
PMID: 25478014 ; PMCID:4255518 ; 2014; Journal Alzheimer's Research and Therapy; vol. 6; no. 3; pp. 36; doi:10.1186/alzrt266
Biomarkers in pharmacology and drug discovery
Anderson, D. C., & Kodukula, K.
PMID: 24001556 ; 2014; Journal Biochemical Pharmacology; vol. 87; no. 1; pp. 172-188; doi:10.1016/j.bcp.2013.08.026
The Italian Alzheimer’s Disease Neuroimaging Initiative (I-ADNI): Validation of Structural MR Imaging
Cavedo, E., Redolfi, A., Angeloni, F., Babiloni, C., Lizio, R., Chiapparini, L., … Frisoni, G. B.
PMID: 24577455 ; 2014; Journal Journal of Alzheimer's Disease; vol. 40; no. 4; pp. 941-52; doi:10.3233/JAD-132666