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Publications

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3740 Total Publications

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

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

Is there an MCI reversion to cognitively normal? Analysis of Alzheimer’s disease biomarkers profiles
Park MH1, Han C2
PMID: 25255915 ; 2014; Journal Int Psychogeriatr.; vol. 27; no. 3; pp. 429-37; doi: 10.1017/S1041610214002129

Mild Cognitive Impairment Due to Alzheimer Disease in the Community
Shin, S., Kim, J. H., Cho, J. H., Kim, G. S., Choi, S.-A., & Lee, J. H.
PMID: 24759547 ; 2014; Journal Alzheimer's Disease and Associated Disorders; vol. 0; no. 0; pp. 1-6; doi:10.1097/WAD.0000000000000044

Impaired glycemia increases disease progression in mild cognitive impairment.
Morris, J. K., Vidoni, E. D., Honea, R. a., & Burns, J. M.
PMID: 24411018 ; PMCID:3894574 ; 2014; Journal Neurobiology of Aging; vol. 35; no. 3; pp. 585-589; doi:10.1016/j.neurobiolaging.2013.09.033