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Publications

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1739 Total Publications

Risk factors and global cognitive status related to brain arteriolosclerosis in elderly individuals
E. T. Ighodaro, E. L. Abner, D. W. Fardo, A. L. Lin, Y. Katsumata, F. A. Schmitt, R. J. Kryscio, G. A. Jicha, J. H. Neltner, S. E. Monsell, W. A. Kukull, D. K. Moser, F. Appiah, A. D. Bachstetter, L. J. Van Eldik, I. Alzheimer's Disease Neuroimaging and P. T. Nelson
PMCID:5363738 ; 2016; Journal J Cereb Blood Flow Metab; vol. 37; no. 1; pp. 201-216; doi:10.1177/0271678X15621574
Combining Feature Extraction Methods to Assist the Diagnosis of Alzheimer’s Disease
Segovia, M. Górriz, J. Ramírez, Phillips and A. s. D. N. Initiative
2016; Journal Current Alzheimer Research; vol. 13; no. 7; pp. 831-837;
A Novel Imaging Marker for Small Vessel Disease Based on Skeletonization of White Matter Tracts and Diffusion Histograms
E. Baykara, B. Gesierich, R. Adam, A. M. Tuladhar, J. M. Biesbroek, H. L. Koek, S. Ropele, E. Jouvent, I. Alzheimer's Disease Neuroimaging, H. Chabriat, B. Ertl-Wagner, M. Ewers, R. Schmidt, F. E. de Leeuw, G. J. Biessels, M. Dichgans and M. Duering
2016; Journal Ann Neurol; vol. 80; no. 4; pp. 581-92; doi:10.1002/ana.24758
Clusters of male and female Alzheimer’s disease patients in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database
D. Gamberger, B. Zenko, A. Mitelpunkt, N. Shachar and N. Lavrac
PMID: 27525218 ; PMCID:4963443 ; 2016; Journal Brain Inform; vol. 3; no. 3; pp. 169-179; doi:10.1007/s40708-016-0035-5
Metabolic connectomics targeting brain pathology in dementia with Lewy bodies
S. P. Caminiti, M. Tettamanti, A. Sala, L. Presotto, S. Iannaccone, S. F. Cappa, G. Magnani, D. Perani and I. Alzheimer's Disease Neuroimaging
PMID: 27306756 ; PMCID:5453453 ; 2016; Journal J Cereb Blood Flow Metab; vol. 37; no. 4; pp. 1311-1325; doi:10.1177/0271678X16654497
Structural MRI-based detection of Alzheimer’s disease using feature ranking and classification error
I. Beheshti, H. Demirel, F. Farokhian, C. Yang, H. Matsuda and I. Alzheimer's Disease Neuroimaging
PMID: 28110723 ; 2016; Journal Comput Methods Programs Biomed; vol. 137; pp. 177-193; doi:10.1016/j.cmpb.2016.09.019
Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease
X. Wang, D. Shen and H. Huang
PMID: 28149965 ; PMCID:5278819 ; 2016; Journal Med Image Comput Comput Assist Interv; vol. 9900; pp. 273-281; doi:10.1007/978-3-319-46720-7_32
Association of Cerebrospinal Fluid Neurofilament Light Concentration With Alzheimer Disease Progression
H. Zetterberg, T. Skillback, N. Mattsson, J. Q. Trojanowski, E. Portelius, L. M. Shaw, M. W. Weiner, K. Blennow and A. s. D. N. Initiative
PMID: 26524180 ; PMCID:5624219 ; 2016; Journal JAMA Neurol; vol. 73; no. 1; pp. 60-7; doi:10.1001/jamaneurol.2015.3037
Morphometricity as a measure of the neuroanatomical signature of a trait
M. R. Sabuncu, T. Ge, A. J. Holmes, J. W. Smoller, R. L. Buckner, B. Fischl and I. Alzheimer's Disease Neuroimaging
PMID: 27613854 ; PMCID:5047166 ; 2016; Journal Proc Natl Acad Sci U S A; vol. 113; no. 39; pp. E5749-56; doi:10.1073/pnas.1604378113
A Novel Grading Biomarker for the Prediction of Conversion from Mild Cognitive Impairment to Alzheimer’s Disease
T. Tong, Q. Gao, R. Guerrero, C. Ledig, L. Chen, D. Rueckert and A. s. d. n. initiative
PMID: 27046891 ; 2016; Journal IEEE Trans Biomed Eng; vol. 64; no. 1; pp. 155-165; doi:10.1109/TBME.2016.2549363