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2110 Total Publications

A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data
Schiratti, J. B., Allassonniere, S., Routier, A., Colliot, O., Durrleman, S., & The Alzheimer’s Disease Neuroimaging Inititative
PMID: 26221703 ; 2015; Journal Inf Process Med Imaging; vol. 24; pp. 564-575;
The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal data
Schmidt, M. E., Chiao, P., Klein, G., Matthews, D., Thurfjell, L., Cole, P. E., … Jagust, W.
PMID: 25457431 ; 2015; Journal Alzheimer's and Dementia; vol. 11; no. 9; pp. 1050-68; doi:10.1016/j.jalz.2014.09.004
Linking Genetics of Brain Changes to Alzheimer's Disease: Sparse Whole Genome Association Scan of Regional MRI Volumes in the ADNI and AddNeuroMed Cohorts
Khondoker, M., Newhouse, S., Westman, E., Muehlboeck, J.-S., Mecocci, P., Vellas, B., … Simmons, A.
PMID: 25649652 ; 2015; Journal Journal of Alzheimer's Disease; vol. 45; no. 3; pp. 851-64; doi:10.3233/JAD-142214
Fusing Heterogeneous Data for Alzheimer's Disease Classification
Pillai, P. S., & Leong, T.-Y.
PMID: 26262148 ; 2015; Journal Studies in Health Technology and Informatics; vol. 216; pp. 731-5; doi:10.1016/j.neuroimage.2014.04.054
Man Versus Machine Part 2: Comparison of Radiologists' Interpretations and NeuroQuant Measures of Brain Asymmetry and Progressive Atrophy in Patients With Traumatic Brain Injury
Ross, D. E., Ochs, A. L., DeSmit, M. E., Seabaugh, J. M., Havranek, M. D., & Initiative, for the A. D. N.
PMID: 25923853 ; 2015; Journal Journal of Neuropsychiatry and Clinical Neurosciences; vol. 27; no. 2; pp. 147-52; doi:10.1176/appi.neuropsych.13040088
A Multi-Marker Genetic Association Test Based on the Rasch Model Applied to Alzheimer’s Disease
Wang W, Mandel J, Bouaziz J, Commenges D, Nabirotchkine S, Chumakov I, Cohen D, Guedj M; Alzheimer’s Disease Neuroimaging Initiative.
PMID: 26379234 ; PMCID:4574966 ; 2015; Journal PLoS One; vol. 10; no. 9; pp. e0138223; doi:10.1371/journal.pone.0138223
Protective Variant for Hippocampal Atrophy Identified by Whole Exome Sequencing
Nho, K., Kim, S., Risacher, S. L., Shen, L., Corneveaux, J. J., Swaminathan, S., … Saykin, A. J.
PMID: 25559091 ; PMCID:4387567 ; 2015; Journal Annals of Neurology; vol. 77; no. 3; pp. 547-52; doi:10.1002/ana.24349
Connectivity analysis of normal and mild cognitive impairment patients based on FDG and PiB-PET images
Son, S.-J., Kim, J.-H., Seo, J., Lee, J.-M., & Park, H.
PMID: 25896866 ; 2015; Journal Neuroscience Research; vol. 98; pp. 50-8; doi:10.1016/j.neures.2015.04.002
Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis
Suk, H.-I., Lee, S.-W., & Shen, D.
PMID: 25993900 ; PMCID:4714963 ; 2015; Journal Brain Structure and Function; vol. 221; no. 5; pp. 2569-87; doi:10.1007/s00429-015-1059-y
An Integrated Bioinformatics Approach for Identifying Genetic Markers that Predict Cerebrospinal Fluid Biomarker p-tau181/A􏰀1-42 Ratio in ApoE4-Negative Mild Cognitive Impairment Patients
Sun, Y., Bresell, A., Rantalainen, M., Hoglund, K., Lebouvier, T., & Salter, H.
PMID: 25720397 ; 2015; Journal Journal of Alzheimer's Disease; vol. 45; no. 4; pp. 1061-1076; doi:10.3233/JAD-142118