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3740 Total Publications

Neuroimaging predictors of brain amyloidosis in mild cognitive impairment.
Tosun, D., Joshi, S., & Weiner, M. W.
2013; Journal Annals of Neurology; vol. 74; no. 2; pp. 188-98; doi:10.1002/ana.23921

Functional activity maps based on significance measures and Independent Component Analysis.
Martínez-Murcia, F. J., Górriz, J. M., Ramírez, J., Puntonet, C. G., & Illán, I. a.
2013; Journal Computer Methods and Programs in Biomedicine; vol. 111; no. 1; pp. 255-68; doi:10.1016/j.cmpb.2013.03.015

BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer’s Disease.
Gaser, C., Franke, K., Klöppel, S., Koutsouleris, N., & Sauer, H.
2013; Journal PloS One; vol. 8; no. 6; pp. e67346; doi:10.1371/journal.pone.0067346

CSF alpha-synuclein improves diagnostic and prognostic performance of CSF tau and Abeta in Alzheimer’s disease.
Toledo, J. B., Korff, A., Shaw, L. M., Trojanowski, J. Q., & Zhang, J.
2013; Journal Acta Neuropathologica; vol. 126; no. 5; pp. 683-697; doi:10.1007/s00401-013-1148-z

Sample size estimates for well-powered cross-sectional cortical thickness studies.
Pardoe, H. R., Abbott, D. F., Jackson, G. D., & Initiative, A. D. N.
2013; Journal Human Brain Mapping; vol. 34; no. 11; pp. 3000-3009; doi:10.1002/hbm.22120

α-Synuclein in cerebrospinal fluid of Alzheimer’s disease and mild cognitive impairment.
Ane Korff, PhD, Changqin Liu, MD, PhD, Carmen Ginghina, MD, Min Shi, PhD, and Jing Zhang, MD, PhD, for the Alzheimer’s Disease Neuroimaging Initiative
2013; Journal Journal of Alzheimer's Disease; vol. 36; no. 4; pp. 679-688;

Identifying multi-analyte CSF biomarkers for Alzheimer’s disease in a multi-cohort study.
Leung YY, Toledo J, Nefedov A, et al.
2013; Journal Alzheimer's and Dementia; vol. 9; no. 4; pp. 128-9;

Evaluation of plasma proteomic data for Alzheimer disease state classification and for the prediction of progression from mild cognitive impairment to Alzheimer disease.
Llano, D. a, Devanarayan, V., & Simon, A. J.
2013; Journal Alzheimer's Disease and Associated Disorders; vol. 27; no. 3; pp. 233-43; doi:10.1097/WAD.0b013e31826d597a

Biomarker-based prediction of progression in MCI: Comparison of AD signature and hippocampal volume with spinal fluid amyloid-β and tau.
Dickerson, B. C., & Wolk, D. A.
2013; Journal Frontiers in Aging Neuroscience; vol. 5; pp. 55; doi:10.3389/fnagi.2013.00055

Teichmüller shape descriptor and its application to alzheimer’s disease study.
Zeng, W., Shi, R., Wang, Y., Yau, S. T., & Gu, X.
2013; Journal International Journal of Computer Vision; vol. 105; pp. 155-170; doi:10.1007/s11263-012-0586-8