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1736 Total Publications

Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies
Wang, Y., Nie, J., Yap, P.-T., Shi, F., Guo, L., & Shen, D.
PMID: 22003753 ; 2011; Journal Medical Image Computing and Computer-Assisted Intervention; vol. 14; no. 3; pp. 635-42; AWTYk_61wAl_G9zjEvdP doi:10.1007/978-3-642-23626-6_78
Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer’s disease.
Lötjönen, J., Wolz, R., Koikkalainen, J., Julkunen, V., Thurfjell, L., Lundqvist, R., … Rueckert, D.
2011; Journal Neuroimage; vol. 56; no. 1; pp. 185-196; AWURK5-zMOwVf_qbJr7T doi:10.1016/j.neuroimage.2011.01.062
18F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis.
Illán, I. a., Górriz, J. M., Ramírez, J., Salas-Gonzalez, D., López, M. M., Segovia, F., … Puntonet, C. G.
2011; Journal Information Sciences; vol. 181; no. 4; pp. 903-916; AWURK5-zMOwVf_qbJr7V doi:10.1016/j.ins.2010.10.027
Discriminant analysis of longitudinal cortical thickness changes in Alzheimer’s disease using dynamic and network features.
Bossa, M., Zacur, E., & Olmos, S.
2011; Journal Neuroimage; vol. 55; no. 3; pp. 999-1008; AWURK5-zMOwVf_qbJr7S doi:10.1016/j.neuroimage.2010.12.078
Functional Brain Network Classification With Compact Representation of SICE Matrices
Zhang, J., Zhou, L., Wang, L., & Li, W.
PMID: 25667346 ; 2011; Journal IEEE Transactions on Bio-Medical Engineering; vol. 62; no. 6; pp. 1623-34; AWTYs7amwAl_G9zjEvfg doi:10.1109/TBME.2015.2399495
A fast brain image registration using axial transformation.
Kanakaraj, S., Govindan, V. K., & Pournami, P. N.
2011; Journal Wireless Networks and Computational Intelligence; pp. 206-212; AWUROQifdzjauPDbjhpm
Mild cognitive impairment: baseline and longitudinal structural MR imaging measures improve predictive prognosis.
McEvoy, L. K., Holland, D., Hagler, D. J., Fennema-Notestine, C., Brewer, J. B., & Dale, A. M.
2011; Journal Radiology; vol. 259; no. 3; pp. 834-43; AWUROQifdzjauPDbjhpt doi:10.1148/radiol.11101975
Longitudinal MRI atrophy biomarkers: relationship to conversion in the ADNI cohort
Risacher, S. L., Shen, L., West, J. D., Kim, S., McDonald, B. C., Beckett, L. A., … Saykin, A. J.
PMID: 20620664 ; PMCID:2904350 ; 2010; Journal Neurobiology of Aging; vol. 31; no. 8; pp. 1401-18; AWTYkwj3dzjauPDbjhnw doi:10.1016/j.neurobiolaging.2010.04.029
Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging
Rowe CC1, Ellis KA, Rimajova M, Bourgeat P, Pike KE, Jones G, Fripp J, Tochon-Danguy H, Morandeau L, O'Keefe G, Price R, Raniga P, Robins P, Acosta O, Lenzo N, Szoeke C, Salvado O, Head R, Martins R, Masters CL, Ames D, Villemagne VL
PMID: 20472326 ; 2010; Journal Neurobiol Aging; vol. 31; no. 8; pp. 1275-83; AWTYk_61wAl_G9zjEvdc doi:10.1016/j.neurobiolaging.2010.04.007
The Alzheimer’s Disease Neuroimaging Initiative: Annual change in biomarkers and clinical outcomes
Beckett, L. a., Harvey, D. J., Gamst, A., Donohue, M., Kornak, J., Zhang, H., & Kuo, J. H.
PMID: 20451874 ; PMCID:2867839 ; 2010; Journal Alzheimer's and Dementia; vol. 6; no. 3; pp. 257-264; AWTX50iGMOwVf_qbJr2x doi:10.1016/j.jalz.2010.03.002