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Publications

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3393 Total Publications

Factors influencing accuracy of cortical thickness in the diagnosis of Alzheimer's disease
M. Belathur Suresh, B. Fischl, D. H. Salat and I. Alzheimer's Disease Neuroimaging
PMCID:5897897 ; 2017; Journal Hum Brain Mapp; vol. 39; no. 4; pp. 1500-1515; doi:10.1002/hbm.23922

A spatio-temporal reference model of the aging brain
W. Huizinga, D. H. J. Poot, M. W. Vernooij, G. V. Roshchupkin, E. E. Bron, M. A. Ikram, D. Rueckert, W. J. Niessen, S. Klein and I. Alzheimer's Disease Neuroimaging
2017; Journal Neuroimage; vol. 169; pp. 22-Nov; doi:10.1016/j.neuroimage.2017.10.040

Interpreting Biomarker Results in Individual Patients With Mild Cognitive Impairment in the Alzheimer's Biomarkers in Daily Practice (ABIDE) Project
I. S. van Maurik, M. D. Zwan, B. M. Tijms, F. H. Bouwman, C. E. Teunissen, P. Scheltens, M. P. Wattjes, F. Barkhof, J. Berkhof, W. M. van der Flier and I. Alzheimer's Disease Neuroimaging
PMCID:5822193 ; 2017; Journal JAMA Neurol; vol. 74; no. 12; pp. 1481-1491; doi:10.1001/jamaneurol.2017.2712

Generalized Scalar-on-Image Regression Models via Total Variation
X. Wang and H. Zhu
PMCID:5693263 ; 2017; Journal J Am Stat Assoc; vol. 112; no. 519; pp. 1156-1168; doi:10.1080/01621459.2016.1194846

Imaging-wide association study: Integrating imaging endophenotypes in GWAS
Z. Xu, C. Wu, W. Pan and I. Alzheimer's Disease Neuroimaging
PMCID:5671364 ; 2017; Journal Neuroimage; vol. 159; pp. 159-169; doi:10.1016/j.neuroimage.2017.07.036

Opposing effects of progranulin deficiency on amyloid and tau pathologies via microglial TYROBP network
H. Takahashi, Z. A. Klein, S. M. Bhagat, A. C. Kaufman, M. A. Kostylev, T. Ikezu, S. M. Strittmatter and I. Alzheimer's Disease Neuroimaging
PMCID:5391267 ; 2017; Journal Acta Neuropathol; vol. 133; no. 5; pp. 785-807; doi:10.1007/s00401-017-1668-z

On the complexity of human neuroanatomy at the millimeter morphome scale: Developing codes and characterizing entropy indexed to spatial scale
D. J. Tward and M. I. Miller
2017; Journal Frontiers in Neuroscience; vol. 11; pp. 577; doi:10.3389/fnins.2017.00577

Statistically Derived Subtypes and Associations with Cerebrospinal Fluid and Genetic Biomarkers in Mild Cognitive Impairment: A Latent Profile Analysis
J. S. Eppig, E. C. Edmonds, L. Campbell, M. Sanderson-Cimino, L. Delano-Wood, M. W. Bondi and I. Alzheimer's Disease Neuroimaging
PMCID:5551901 ; 2017; Journal J Int Neuropsychol Soc; vol. 23; no. 7; pp. 564-576; doi:10.1017/S135561771700039X

Resting-state global functional connectivity as a biomarker of cognitive reserve in mild cognitive impairment
N. Franzmeier, M. A. A. Caballero, A. N. W. Taylor, L. Simon-Vermot, K. Buerger, B. Ertl-Wagner, C. Mueller, C. Catak, D. Janowitz, E. Baykara, B. Gesierich, M. Duering and M. Ewers
2017; Journal Brain Imaging Behav; vol. 11; no. 2; pp. 368-382; doi:10.1007/s11682-016-9599-1

Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging
S. Lu, Y. Xia, W. Cai, M. Fulham, D. D. Feng and A. s. D. N. Initiative
2017; Journal Computerized Medical Imaging and Graphics; vol. 60; pp. 35-41; doi:10.1016/j.compmedimag.2017.01.001