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1739 Total Publications

Predicting Reduction of Cerebrospinal Fluid β-Amyloid 42 in Cognitively Healthy Controls
Mattsson N1, Insel PS2, Donohue M3, Jagust W4, Sperling R5, Aisen P6, Weiner MW2; Alzheimer’s Disease Neuroimaging Initiative
PMID: 25775167 ; 2014; Journal JAMA Neurology; vol. 72; no. 5; pp. 554-60; doi:10.1001/jamaneurol.2014.4530
Genetic interactions within inositol-related pathways are associated with longitudinal changes in ventricle size
Koran, M. E. I., Hohman, T. J., Meda, S. a, & Thornton-Wells, T. a.
PMID: 24077433 ; PMCID:3815519 ; 2014; Journal Journal of Alzheimer's Disease; vol. 38; no. 1; pp. 145-54; doi:10.3233/JAD-130989
Reliability of brain volume measurements: A test-retest dataset
Maclaren J1, Han Z1, Vos SB2, Fischbein N1, Bammer R1
PMID: 25977792 ; PMCID:4411010 ; 2014; Journal Sci Data; vol. 1; pp. 140037; doi:10.1038/sdata.2014.37
Magnetization-prepared rapid acquisition with gradient echo magnetic resonance imaging signal and texture features for the prediction of mild cognitive impairment to Alzheimer’s disease progression
Martinez-Torteya, A., Rodriguez-Rojas, J., Celaya-Padilla, J. M., Galván-Tejada, J. I., Treviño, V., & Tamez-Peña, J.
PMID: 26158047 ; PMCID:4479020 ; 2014; Journal Journal of Medical Imaging; vol. 1; no. 3; pp. 31005; doi:10.1117/1.JMI.1.3.031005
Reducing post lumbar puncture headaches with small bore atraumatic needles
Vidoni, E. D., Morris, J. K., Raider, K., & Burns, J. M.
PMID: 24156907 ; PMCID:3946374 ; 2014; Journal Journal of Clinical Neuroscience; vol. 21; no. 3; pp. 536-7; doi:10.1016/j.jocn.2013.07.001
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
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