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Publications

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1800 Total Publications

Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis
Ortiz A1, Munilla J1, Álvarez-Illán I1, Górriz JM2, Ramírez J2; Alzheimer's Disease Neuroimaging Initiative
PMID: 26578945 ; PMCID:4630314 ; 2015; Journal Front Comput Neurosci; pp. 11:12; AWTYjl7cwAl_G9zjEvc2 doi:10.3389/fncom.2015.00132
Exploring multifractal-based features for mild Alzheimer's disease classification
H. Z. Ni, L.; Ning, X.; Wang, L.; Alzheimer's Disease Neuroimaging, Initiative
2015; Journal Magn Reson Med; vol. 76; no. 1; pp. 259-69; AWUVQIWPMOwVf_qbJr9u doi:10.1002/mrm.25853
Kernel bundle diffeomorphic image registration using stationary velocity fields and Wendland basis functions
A. Pai, S. Sommer, L. Sørensen, S. Darkner, J. Sporring and M. Nielsen
2015; Journal IEEE transactions on medical imaging; vol. 35; no. 6; pp. 1369-1380; AWUVQIWPMOwVf_qbJr9v doi:10.1109/TMI.2015.2511062
Impact of Common Variations in PLD3 on Neuroimaging Phenotypes in Non-demented Elders
C. Wang, H. F. Wang, M. S. Tan, Y. Liu, T. Jiang, D. Q. Zhang, L. Tan, J. T. Yu and I. Alzheimer's Disease Neuroimaging
2015; Journal Mol Neurobiol; vol. 53; no. 7; pp. 4343-51; AWUVQIWPMOwVf_qbJr90 doi:10.1007/s12035-015-9370-4
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification
X. Zhu, H. I. Suk, S. W. Lee and D. Shen
2015; Journal IEEE Trans Biomed Eng; vol. 63; no. 3; pp. 607-18; AWUVQIWPMOwVf_qbJr93 doi:10.1109/TBME.2015.2466616
Automatic brain morphometry and volumetry using SPM on cognitively impaired patients.
Cutanda V, Moratal D, Arana E.
2015; Journal IEEE Transactions of Latin America; vol. 13; no. 4; pp. 1077-82; AWUVLgpedzjauPDbjhru
Nonlinear Association Between Cerebrospinal Fluid and Florbetapir F-18 β-Amyloid Measures Across the Spectrum of Alzheimer Disease.
Toledo JB, Bjerke M, Da X, et al.
2015; Journal JAMA Neurology; vol. 72; no. 5; pp. 571; AWUVLgpedzjauPDbjhrw
Florbetapir positron emission tomography and cerebrospinal fluid biomarkers.
Hake, A., Trzepacz, P. T., Wang, S., Yu, P., Case, M., Hochstetler, H., … Dean, R. A.
2015; Journal Alzheimer's and Dementia; vol. 11; no. 8; pp. 986-93; AWUVLgpedzjauPDbjhr- doi:10.1016/j.jalz.2015.03.002
PLD3-variants in population studies.
Sven J. van der Lee, Henne Holstege, Tsz Hang Wong, Johanna Jakobsdottir, Joshua C. Bis, Vincent Chouraki, Jeroen G.J. van Rooij, Megan L. Grove, Albert V. Smith, Najaf Amin, Seung-Hoan Choi, Alexa S. Beiser, Melissa E. Garcia, Wilfred F.J. van IJcken, Yolande A.L. Pijnenburg, Eva Louwersheimer, Rutger W.W. Brouwer, Mirjam C.G.N. van den Hout, Edwin Oole, Gudny Eirkisdottir, Daniel Levy, Jerome I. Rotter, Valur Emilsson, Christopher J. O’Donnell, Thor Aspelund, Andre G. Uitterlinden, Lenore J. Launer, Albert Hofman, ADNI,* Eric Boerwinkle, Bruce M. Psaty, Anita L. DeStefano, Philip Scheltens, Sudha Seshadri, John C. van Swieten, Vilmundur Gudnason, Wiesje M. van der Flier, M. Arfan Ikram, and Cornelia M. van Duijn..
2015; Journal Nature; AWUVKtlhdzjauPDbjhrl
Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages.
Cabral, C., Morgado, P. M., Campos Costa, D., & Silveira, M.
2015; Journal Computers in Biology and Medicine; vol. 58; pp. 101-109; AWUVKtlhdzjauPDbjhrp doi:10.1016/j.compbiomed.2015.01.003