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Publications

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1800 Total Publications

Integrative genomics identifies APOE ε4 effectors in Alzheimer’s disease.
Rhinn, H., Fujita, R., Qiang, L., Cheng, R., Lee, J. H., & Abeliovich, A.
2013; Journal Nature; vol. 500; no. 7460; pp. 45-50; AWUVFUjTMOwVf_qbJr8i doi:10.1038/nature12415
Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer’s disease.
Dukart, J., Mueller, K., Villringer, A., Kherif, F., Draganski, B., Frackowiak, R., & Schroeter, M. L.
2013; Journal Neuroimage: Clinical; vol. 3; pp. 84-94; AWUVFUjTMOwVf_qbJr8n doi:10.1016/j.nicl.2013.07.005
Effects of baseline CSF alpha-synuclein on regional brain atrophy rates in healthy elders, mild cognitive impairment and Alzheimer’s disease.
Mattsson, N., Insel, P., Tosun, D., Zhang, J., Jack Jr., C. R., Galasko, D., … Weiner, M.
2013; Journal PloS One; vol. 8; no. 12; pp. e85443; AWUVFUjTMOwVf_qbJr8s doi:10.1371/journal.pone.0085443
White Matter Abnormalities and Structural Hippocampal Disconnections in Amnestic Mild Cognitive Impairment and Alzheimer’s Disease.
Rowley, J., Fonov, V., Wu, O., Eskildsen, S. F., Schoemaker, D., Wu, L., … Rosa-Neto, P.
2013; Journal PloS One; vol. 8; no. 9; pp. 1-13; AWUVFUjTMOwVf_qbJr8t doi:10.1371/journal.pone.0074776
Multi-atlas segmentation without registration: a supervoxel-based approach.
Wang, H., & Yushkevich, P. a.
2013; Journal Medical Image Computing and Computer-Assisted Intervention; vol. 16; no. 3; pp. 535-42; AWUVAA3tMOwVf_qbJr7z doi:10.1007/978-3-642-40760-4_67
Random forest-based similarity measures for multi-modal classification of Alzheimer’s disease.
Gray, K. R., Aljabar, P., Heckemann, R. a., Hammers, A., & Rueckert, D.
2013; Journal Neuroimage; vol. 65; pp. 167-175; AWUVAA3tMOwVf_qbJr73 doi:10.1016/j.neuroimage.2012.09.065
Modeling disease progression via multi-task learning.
Zhou, J., Liu, J., Narayan, V. a, & Ye, J.
2013; Journal Neuroimage; vol. 78; pp. 233-48; AWUVAA3tMOwVf_qbJr79 doi:10.1016/j.neuroimage.2013.03.073
Deformable templates guided discriminative models for robust 3D brain MRI segmentation.
Liu, C.-Y., Iglesias, J. E., & Tu, Z.
2013; Journal Neuroinformatics; vol. 11; no. 4; pp. 447-68; AWUVAA3tMOwVf_qbJr8A doi:10.1007/s12021-013-9190-5
Predicting cognitive decline in subjects at risk for Alzheimer disease by using combined cerebrospinal fluid, MR imaging, and PET biomarkers.
Shaffer, J. L., Petrella, J. R., Sheldon, F. C., Choudhury, K. R., Calhoun, V. D., Coleman, R. E., & Doraiswamy, P. M.
2013; Journal Radiology; vol. 266; no. 2; pp. 583-591; AWUVAA3tMOwVf_qbJr8D doi:10.1148/radiol.12120010
Longitudinal change in CSF Tau and Aβ biomarkers for up to 48 months in ADNI.
Toledo, J. B., Xie, S. X., Trojanowski, J. Q., & Shaw, L. M.
2013; Journal Acta Neuropathologica; vol. 126; no. 5; pp. 659-70; AWUVAA3tMOwVf_qbJr8E doi:10.1007/s00401-013-1151-4