ADNI | Publications

Filter results by:

1800 Total Publications

Regression models on Riemannian symmetric spaces
E. Cornea, H. Zhu, P. Kim and J. G. Ibrahim
PMID: 28529445 ; 2016; Journal J R Stat Soc Series B Stat Methodol; vol. 79; no. 2; pp. 463-482; AWTX9JHXwAl_G9zjEvX2 doi:10.1111/rssb.12169

Manual-Protocol Inspired Technique for Improving Automated MR Image Segmentation during Label Fusion
N. Bhagwat, J. Pipitone, J. L. Winterburn, T. Guo, E. G. Duerden, A. N. Voineskos, M. Lepage, S. P. Miller, J. C. Pruessner and M. M. Chakravarty
PMID: 27486386 ; PMCID:4949270 ; 2016; Journal Front Neurosci; vol. 10; pp. 325; AWTX50iGMOwVf_qbJr2- doi:10.3389/fnins.2016.00325

Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment
M. Liu, D. Zhang and D. Shen
PMID: 26742127 ; PMCID:5572669 ; 2016; Journal IEEE Trans Med Imaging; vol. 35; no. 6; pp. 1463-74; AWTYMRBqMOwVf_qbJr6V doi:10.1109/TMI.2016.2515021

Performance of Hippocampus Volumetry with FSL-FIRST for Prediction of Alzheimer's Disease Dementia in at Risk Subjects with Amnestic Mild Cognitive Impairment
P. Suppa, H. Hampel, T. Kepp, C. Lange, L. Spies, J. B. Fiebach, B. Dubois, R. Buchert and I. Alzheimer's Disease Neuroimaging
PMID: 26923010 ; 2016; Journal J Alzheimers Dis; vol. 51; no. 3; pp. 867-73; AWTYkLG3MOwVf_qbJr63 doi:10.3233/JAD-150804

PETPVE12: an SPM toolbox for Partial Volume Effects correction in brain PET – Application to amyloid imaging with AV45-PET
G. Gonzalez-Escamilla, C. Lange, S. Teipel, R. Buchert, M. J. Grothe and I. Alzheimer's Disease Neuroimaging
PMID: 28039094 ; 2016; Journal Neuroimage; vol. 147; pp. 669-677; AWTYkLG4MOwVf_qbJr7C doi:10.1016/j.neuroimage.2016.12.077

Phantom criteria for qualification of brain FDG and amyloid PET across different cameras
Y. Ikari, G. Akamatsu, T. Nishio, K. Ishii, K. Ito, T. Iwatsubo and M. Senda
PMID: 27709546 ; PMCID:5052249 ; 2016; Journal EJNMMI Phys; vol. 3; no. 1; pp. 23; AWTYkLG4MOwVf_qbJr7D doi:10.1186/s40658-016-0159-y

Gene Prioritization for Imaging Genetics Studies Using Gene Ontology and a Stratified False Discovery Rate Approach
S. Patel, M. T. Park, M. M. Chakravarty and J. Knight
PMID: 27092072 ; PMCID:4823264 ; 2016; Journal Front Neuroinform; vol. 10; pp. 14; AWTYkLG3MOwVf_qbJr6z doi:10.3389/fninf.2016.00014

Detection of Alzheimer’s disease at mild cognitive impairment and disease progression using autoantibodies as blood-based biomarkers
C. A. DeMarshall, E. P. Nagele, A. Sarkar, N. K. Acharya, G. Godsey, E. L. Goldwaser, M. Kosciuk, U. Thayasivam, M. Han and B. Belinka
PMID: 27239548 ; PMCID:4879649 ; 2016; Journal Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring; vol. 3; pp. 51-62; AWTYEk81dzjauPDbjhkJ doi:10.1016/j.dadm.2016.03.002

Quantitative Neuroimaging Software for Clinical Assessment of Hippocampal Volumes on MR Imaging
J. Ahdidan, C. A. Raji, E. A. DeYoe, J. Mathis, K. O. Noe, J. Rimestad, T. K. Kjeldsen, J. Mosegaard, J. T. Becker and O. Lopez
PMID: 26484924 ; PMCID:4718601 ; 2016; Journal J Alzheimers Dis; vol. 49; no. 3; pp. 723-32; AWTX4BB4dzjauPDbjhib doi:10.3233/JAD-150559

Manual segmentation of the fornix, fimbria, and alveus on high-resolution 3T MRI: Application via fully-automated mapping of the human memory circuit white and grey matter in healthy and pathological aging
R. S. C. Amaral, M. T. M. Park, G. A. Devenyi, V. Lynn, J. Pipitone, J. Winterburn, S. Chavez, M. Schira, N. J. Lobaugh, A. N. Voineskos, J. C. Pruessner, M. M. Chakravarty and I. Alzheimer's Disease Neuroimaging
PMID: 27765611 ; 2016; Journal Neuroimage; vol. 170; pp. 132-150; AWTX4BB4dzjauPDbjhis doi:10.1016/j.neuroimage.2016.10.027