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Publications

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1800 Total Publications

Predicting the Location of Human Perirhinal Cortex, Brodmann's area 35, from MRI
Augustinack, J. C., Huber, K. E., Stevens, A. a., Roy, M., Frosch, M. P., van der Kouwe, A. J. W., … Fischl, B.
PMID: 22960087 ; PMCID:3508349 ; 2013; Journal Neuroimage; vol. 64; pp. 32-42; AWTX4SQCwAl_G9zjEvXI doi:10.1016/j.neuroimage.2012.08.071
Mapping the Genetic Variation of Regional Brain Volumes as Explained by All Common SNPs from the ADNI Study
Bryant, C., Giovanello, K. S., Ibrahim, J. G., Chang, J., Shen, D., Peterson, B. S., & Zhu, H.
PMID: 24015190 ; PMCID:3756017 ; 2013; Journal PloS One; vol. 8; no. 8; pp. e71723; AWTX5LQ2MOwVf_qbJr2h doi:10.1371/journal.pone.0071723
Multifold Bayesian Kernelization in Alzheimer’s Diagnosis
Liu, S., Song, Y., Cai, W., Pujol, S., Kikinis, R., Wang, X., & Feng, D.
PMID: 24579154 ; PMCID:4017205 ; 2013; Journal Medical Image Computing and Computer-Assisted Intervention; vol. 16; no. 2; pp. 303-10; AWTYL1dIdzjauPDbjhnD doi:10.1007/978-3-642-40763-5_38
Increased CNV-Region deletions in mild cognitive impairment (MCI) and Alzheimer's disease (AD) subjects in the ADNI sample
Guffanti, G., Torri, F., Rasmussen, J., Clark, A. P., Lakatos, A., Turner, J. a., … Macciardi, F
PMID: 23583670 ; PMCID:4012421 ; 2013; Journal Genomics; vol. 102; no. 2; pp. 112-122; AWTYG0yudzjauPDbjhlk doi:10.1016/j.ygeno.2013.04.004
Brain size and the compensation of Alzheimer's disease symptoms: A longitudinal cohort study
Guo, L.-H., Alexopoulos, P., Wagenpfeil, S., Kurz, A., & Perneczky, R.
PMID: 23232272 ; 2013; Journal Alzheimer's and Dementia; vol. 9; no. 5; pp. 580-6; AWTYG0yudzjauPDbjhln doi:10.1016/j.jalz.2012.10.002
A comparison of machine learning methods for classification using simulation with multiple real data examples from mental health studies
Khondoker, M., Dobson, R., Skirrow, C., Simmons, A., & Stahl, D.
PMID: 24047600 ; PMCID:5081132 ; 2013; Journal Statistical Methods in Medical Research; vol. 25; no. 5; pp. 1804-1823; AWTYJ1j0wAl_G9zjEvaE doi:10.1177/0962280213502437
CD33 Alzheimer’s disease locus: Altered monocyte function and amyloid biology
Bradshaw, E. M., Chibnik, L. B., Keenan, B. T., Ottoboni, L., Raj, T., Tang, A., … De Jager, P. L.
PMID: 23708142 ; PMCID:3703870 ; 2013; Journal Nature Neuroscience; vol. 16; no. 7; pp. 848-50; AWTX7HmYdzjauPDbjhjP doi:10.1038/nn.3435
Predicting the Time to Clinically Worsening in Mild Cognitive Impairment Patients and its Utility in Clinical Trial Design by Modeling a Longitudinal Clinical Dementia Rating Sum of Boxes from the ADNI Database
Ito K, Hutmacher M.
PMID: 24531162 ; PMCID:4684492 ; 2013; Journal Journal of Alzheimer's Disease; vol. 40; no. 4; pp. 967-79; AWTYJDUyMOwVf_qbJr5m doi:10.1016/j.jalz.2015.01.010
Heart-type fatty acid-binding protein in the early diagnosis of acute myocardial infarction: A systematic review and meta-analysis
Guo LH1, Alexopoulos P, Perneczky R
PMID: 23591828 ; 2013; Journal Eur Arch Psychiatry Clin Neurosci.; vol. 263; no. 7; pp. 553-60; AWTYH9GudzjauPDbjhmW doi:10.1007/s00406-013-0405-4
Separation of cognitive domains to improve prediction of progression from mild cognitive impairment to Alzheimer's disease.
Hendrix, S. B., & Welsh-Bohmer, K. A.
PMID: 23680123 ; PMCID:3707047 ; 2013; Journal Alzheimer's Research and Therapy; vol. 5; no. 3; pp. 22; AWTYH9GudzjauPDbjhma doi:10.1186/alzrt176