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2110 Total Publications

Tractography of the uncinate fasciculus and the posterior cingulate fasciculus in patients with mild cognitive impairment and Alzheimer disease.
Larroza, A., Moratal, D., D’Ocon Alcaniz, V., Arana, E., & por la Alzheimer’s Disease Neuroimaging, I.
2014; Journal Neurologia; vol. 29; no. 1; pp. 11-20; doi:10.1016/j.nrl.2013.02.002
Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer’s Disease and mild cognitive impairment identification.
Liu, F., Wee, C. Y., Chen, H., & Shen, D.
2014; Journal Neuroimage; vol. 84; pp. 466-475; doi:10.1016/j.neuroimage.2013.09.015
Reduced FDG-PET brain metabolism and executive function predict clinical progression in elderly healthy subjects.
Ewers, M., Brendel, M., Rizk-Jackson, A., Rominger, A., Bartenstein, P., Schuff, N., & Weiner, M. W.
2014; Journal Neuroimage: Clinical; vol. 4; pp. 45-52; doi:10.1016/j.nicl.2013.10.018
Statistical normalization techniques for magnetic resonance imaging.
Shinohara, R. T., Sweeney, E. M., Goldsmith, J., Shiee, N., Mateen, F. J., Calabresi, P. a, … Crainiceanu, C. M.
2014; Journal Neuroimage: Clinical; vol. 6; pp. 9-19; doi:10.1016/j.nicl.2014.08.008
Regularized 3D functional regression for brain image data via Haar wavelets.
Wang, X., Nan, B., Zhu, J., & Koeppe, R.
2014; Journal Annals of Applied Statistics; vol. 8; no. 2; pp. 1045-1064; doi:10.1214/14-AOAS736
Fast and accurate modelling of longitudinal and repeated measures neuroimaging data.
Guillaume, B., Hua, X., Thompson, P. M., Waldorp, L., & Nichols, T. E.
2014; Journal Neuroimage; vol. 94; pp. 287-302; doi:10.1016/j.neuroimage.2014.03.029
Building a Surface Atlas of Hippocampal Subfields from MRI Scans using FreeSurfer, FIRST and SPHARM
Cong S1, Rizkalla M1, Du EY1, West J2, Risacher S2, Saykin A2, Shen L2; for the Alzheimer's Disease Neuroimaging Initiative
PMID: 25477768 ; PMCID:4248676 ; 2014; Journal Conf Proc (Midwest Symp Circuits Syst); vol. 2014; pp. 813-816; doi:10.1109/MWSCAS.2014.6908539
Feed-forward Hierarchical Model of the Ventral Visual Stream Applied to Functional Brain Image Classification
Keator, D. B., Fallon, J. H., Lakatos, A., Fowlkes, C. C., Potkin, S. G., & Ihler, A.
PMID: 22847891 ; PMCID:4745890 ; 2014; Journal Human Brain Mapping; vol. 35; pp. 38-52; doi:10.1002/hbm.22149
Directed progression brain networks in Alzheimer's disease: properties and classification.
Friedman, E. J., Young, K., Asif, D., Jutla, I., Liang, M., Wilson, S., … Schuff, N.
PMID: 24901258 ; PMCID:4064803 ; 2014; Journal Brain Connectivity; vol. 4; no. 5; pp. 384-93; doi:10.1089/brain.2014.0235
Evaluation of Whole Brain Health in Aging and Alzheimer’s Disease: A Standard Procedure for Scoring an MRI-Based Brain Atrophy and Lesion Index
Guo, H., Song, X., Schmidt, M. H., Vandorpe, R., Yang, Z., LeBlanc, E., … Rockwood, K.
PMID: 24927702 ; 2014; Journal Journal of Alzheimer's Disease; vol. 42; no. 2; pp. 691-703; doi:10.3233/JAD-140333