ADNI | Publications

×

×

Select the area you would like to search.
ADNI SITE
DATA DICTIONARY This search queries the ADNI data dictionary. Enter terms or codes used in the dictionary for a definition, or enter search terms to locate data within the archive.
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.

Publications

ADNI publication pdfs can be searched by author, keyword, or
PMCID using the ADNI PDF search above.

Filter results by:

3740 Total Publications

Learning-Based Atlas Selection for Multiple-Atlas Segmentation
Sanroma G, Wu G, Gao Y, Shen D.
PMID: 25485313 ; PMCID:4254783 ; 2014; Journal Conf Comput Vis Pattern Recognit Workshops; vol. 2014; pp. 3111-3117; doi:10.1109/CVPR.2014.398

Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain.
Osadebey, M., Bouguila, N., & Arnold, D.
2014; Journal International Journal of Imaging Systems and Technology; vol. 24; no. 3; pp. 224-238; doi:10.1002/ima.22098

Improved Utilization of ADAS-Cog Assessment Data Through Item Response Theory Based Pharmacometric Modeling.
Ueckert, S., Plan, E. L., Ito, K., Karlsson, M. O., Corrigan, B., & Hooker, A. C.
2014; Journal Pharmaceutical Research; vol. 31; no. 8; pp. 2152-65; doi:10.1007/s11095-014-1315-5

Optimal selection of regularization parameter in total variation method for reducing noise in magnetic resonance images of the brain.
Osadebey, M., Bouguila, N., & Arnold, D.
2014; Journal Biomedical Engineering Letters; vol. 4; no. 1; pp. 80-92; doi:10.1007/s13534-014-0126-2

Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructure.
Warstadt, N. M., Dennis, E. L., Jahanshad, N., Kohannim, O., Nir, T. M., McMahon, K. L., … Thompson, P. M.
2014; Journal Neurobiology of Aging; vol. 35; pp. 2504-2513; doi:10.1016/j.neurobiolaging.2014.05.024

Classification of Alzheimer’s disease subjects from MRI using hippocampal visual features
Ben Ahmed, O., Benois-Pineau, J., Allard, M., Ben Amar, C., & Catheline, G.
PMID: 9740363 ; 2014; Journal Multimedia Tools and Applications; vol. 74; pp. 1249-1266; doi:10.1007/s11042-014-2123-y

Limited agreement between biomarkers of neuronal injury at different stages of Alzheimer’s disease
Alexopoulos, P., Kriett, L., Haller, B., Klupp, E., Gray, K., Grimmer, T., … Yakushev, I.
PMID: 24857233 ; 2014; Journal Alzheimer's and Dementia; vol. 10; no. 6; pp. 684-9; doi:10.1016/j.jalz.2014.03.006

History of Cigarette Smoking in Cognitively-Normal Elders is Associated with Elevated Cerebrospinal Fluid Biomarkers of Oxidative Stress
Durazzo, T. C., Mattsson, N., Weiner, M. W., Korecka, M., Trojanowski, J. Q., & Shaw, L. M.
PMID: 25037769 ; PMCID:4144023 ; 2014; Journal Drug Alcohol Depend; vol. 142; pp. 262-8; doi:10.1016/j.drugalcdep.2014.06.030

Confidence Intervals for One-Sample Sensitivity and Specificity
Dong T1, Tian L1
PMID: 25372999 ; PMCID:5540368 ; 2014; Journal J Biopharm Stat; vol. 25; no. 6; pp. 1215-33; doi:10.1080/10543406.2014.971173

A point-based tool to predict conversion from MCI to probable Alzheimer’s disease
Barnes, D. E., Cenzer, I. S., Yaffe, K., Ritchie, C. S., & Lee, S. J.
PMID: 24495339 ; PMCID:4119093 ; 2014; Journal Alzheimer's and Dementia; vol. 10; pp. 1-10; doi:10.1016/j.jalz.2013.12.014