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1800 Total Publications

View-aligned hypergraph learning for Alzheimer’s disease diagnosis with incomplete multi-modality data
M. Liu, J. Zhang, P. T. Yap and D. Shen
PMID: 27898305 ; 2016; Journal Med Image Anal; vol. 36; pp. 123-134; AWTYL1dIdzjauPDbjhnJ doi:10.1016/j.media.2016.11.002
What are the Most Frequently Impaired Markers of Neurodegeneration in ADNI Subjects?
Andriuta D1, Moullart V2, Schraen S3, Devendeville A1,4, Meyer ME2, Godefroy O1; Alzheimer’s Disease Neuroimaging.
PMID: 26923012 ; 2016; Journal Journal of Alzheimer's Disease; vol. 51; no. 3; pp. 793-800; AWTYoUyLdzjauPDbjhpO doi:10.3233/JAD-150829
Reproducibility of hippocampal atrophy rates measured with manual, FreeSurfer, AdaBoost, FSL/FIRST and the MAPS-HBSI methods in Alzheimer's disease.
K. S. Cover, R. A. van Schijndel, A. Versteeg, K. K. Leung, E. R. Mulder, R. A. Jong, P. J. Visser, A. Redolfi, J. Revillard, B. Grenier, D. Manset, S. Damangir, P. Bosco, H. Vrenken, B. W. van Dijk, G. B. Frisoni, F. Barkhof and n. Alzheimer's Disease Neuroimaging Initiative
PMID: 27179313 ; 2016; Journal Psychiatry Res Neuroimaging; vol. 252; pp. 26-35; AWTYkwj3dzjauPDbjhnq doi:10.1016/j.pscychresns.2016.04.006
Basic MR sequence parameters systematically bias automated brain volume estimation
S. Haller, P. Falkovskiy, R. Meuli, J. P. Thiran, G. Krueger, K. O. Lovblad, T. Kober, A. Roche and B. Marechal
PMID: 27623782 ; 2016; Journal Neuroradiology; vol. 58; no. 11; pp. 1153-1160; AWTX5LQ2MOwVf_qbJr1u doi:10.1007/s00234-016-1737-3
White Matter Changes are Associated with Ventricular Expansion in Aging, Mild Cognitive Impairment, and Alzheimer’s Disease
Coutu JP1,2, Goldblatt A1,3, Rosas HD1,4, Salat DH1,3,5; Alzheimer's Disease Neuroimaging Initiative (ADNI)
PMID: 26444767 ; PMCID:5996384 ; 2016; Journal Journal of Alzheimer's Disease; vol. 49; no. 2; pp. 329-42; AWTX9JHXwAl_G9zjEvX- doi:10.3233/JAD-150306
Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer's pathology
T. W. Schmitz, R. Nathan Spreng and I. Alzheimer's Disease Neuroimaging
PMID: 27811848 ; PMCID:5097157 ; 2016; Journal Nat Commun; vol. 7; pp. 13249; AWTYlga6dzjauPDbjhoB doi:10.1038/ncomms13249
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; AWTYmIlBwAl_G9zjEveK doi:10.1016/j.cmpb.2016.09.019
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; AWTYl1zNwAl_G9zjEvdh 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; AWTYmoe0dzjauPDbjhon doi:10.1109/TBME.2016.2549363
Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest.
L. Huang, Y. Jin, Y. Gao, K. H. Thung, D. Shen and I. Alzheimer's Disease Neuroimaging
PMID: 27500865 ; PMCID:5152677 ; 2016; Journal Neurobiol Aging; vol. 46; pp. 180-91; AWTYIuKfwAl_G9zjEvZO doi:10.1016/j.neurobiolaging.2016.07.005