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1800 Total Publications

Effect of APOE genotype status on targeted clinical trials outcomes and??efficiency in dementia and mild cognitive impairment resulting from??Alzheimer’s disease.
Kennedy, R. E., Cutter, G. R., & Schneider, L. S.
2013; Journal Alzheimer's and Dementia; vol. 10; no. 3; pp. 349-359; AWUVHdZzdzjauPDbjhqr doi:10.1016/j.jalz.2013.03.003
Multiple instance learning for classification of dementia in brain MRI.
Tong, T., Wolz, R., Gao, Q., Hajnal, J. V, & Rueckert, D.
2013; Journal Medical Image Computing and Computer-Assisted Intervention; vol. 16; no. 2; pp. 599-606; AWUVHdZzdzjauPDbjhqx doi:10.1007/978-3-642-40763-5_74
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding.
Zhang, P., Wee, C., Niethammer, M., & Shen, D.
2013; Journal Medical Image Computing and Computer-Assisted Intervention; pp. 292-299; AWUVHdZzdzjauPDbjhqy doi:10.1007/978-3-642-40811-3_37
Classification of Alzheimer Diagnosis from ADNI Plasma Biomarker Data
Jue Mo,1 Stuart Maudsley, Bronwen Martin, Sana Siddiqui, Huey Cheung, and Calvin A. Johnson
PMID: 25599092 ; PMCID:4295502 ; 2013; Journal ACM Conf Bioinform Comput Biol Biomed Inform (2013); AWTYOvc8wAl_G9zjEvcO doi:10.1145/2506583.2506637
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