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1800 Total Publications

Predicting AD conversion: comparison between prodromal AD guidelines and computer assisted PredictAD tool
Liu, Y., Mattila, J., Ruiz, M. Á. M., Paajanen, T., Koikkalainen, J., van Gils, M., … Soininen, H.
2013; Journal PloS One; vol. 8; no. 2; pp. e55246; AWUVAA3tMOwVf_qbJr8B doi:10.1371/journal.pone.0055246
Polymorphism in the TOMM40 gene modifies the risk of developing sporadic inclusion body myositis and the age of onset of symptoms
Mastaglia, F. L., Rojana-udomsart, A., James, I., Needham, M., Day, T. J., Kiers, L., … Roses, A. D.
2013; Journal Neuromuscular Disorders; vol. 23; no. 12; pp. 969-74; AWUVFUjTMOwVf_qbJr8p doi:10.1016/j.nmd.2013.09.008
Generative FDG-PET and MRI model of aging and disease progression in Alzheimer’s disease.
Dukart, J., Kherif, F., Mueller, K., Adaszewski, S., Schroeter, M. L., Frackowiak, R. S. J., & Draganski, B.
2013; Journal PLoS Computational Biology; vol. 9; no. 4; pp. e1002987; AWUVFUjTMOwVf_qbJr8q doi:10.1371/journal.pcbi.1002987
Regional magnetic resonance imaging measures for multivariate analysis in Alzheimer’s disease and mild cognitive impairment.
Westman, E., Aguilar, C., Muehlboeck, J.-S., & Simmons, A.
2013; Journal Brain Topography; vol. 26; no. 1; pp. 9-23; AWUVFUjTMOwVf_qbJr8R doi:10.1007/s10548-012-0246-x
The receiver operational characteristic for binary classification with multiple indices and its application to the neuroimaging study of Alzheimer’s disease.
Wu, X., Li, J., Ayutyanont, N., Protas, H., Jagust, W., Fleisher, A., … Chen, K.
2013; Journal IEEE/ACM Transactions on Computational Biology and Bioinformatics; vol. 10; no. 1; pp. 173-80; AWUVFUjTMOwVf_qbJr8X doi:10.1109/TCBB.2012.141
Efficient Parallel Transport of Deformations in Time Series of Images: From Schild’s to Pole Ladder.
Lorenzi, M., & Pennec, X.
2013; Journal Journal of Mathematical Imaging and Vision; pp. 1-13; AWUVFUjTMOwVf_qbJr8b doi:10.1007/s10851-013-0470-3
STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation.
Jorge Cardoso, M., Leung, K., Modat, M., Keihaninejad, S., Cash, D., Barnes, J., … Ourselin, S.
2013; Journal Medical Image Analysis; vol. 17; no. 6; pp. 671-84; AWUVFUjTMOwVf_qbJr8h doi:10.1016/j.media.2013.02.006
Visual ratings of atrophy in MCI: Prediction of conversion and relationship with CSF biomarkers.
Lehmann, M., Koedam, E. L., Barnes, J., Bartlett, J. W., Barkhof, F., Wattjes, M. P., … Fox, N. C.
2013; Journal Neurobiology of Aging; vol. 34; no. 1; pp. 73-82; AWUVFUjTMOwVf_qbJr8l doi:10.1016/j.neurobiolaging.2012.03.010
Locally linear embedding (LLE) for MRI based Alzheimer’s disease classification.
Liu, X., Tosun, D., Weiner, M. W., & Schuff, N.
2013; Journal Neuroimage; vol. 83; pp. 148-57; AWUVFUjTMOwVf_qbJr8m doi:10.1016/j.neuroimage.2013.06.033
Apolipoprotein E epsilon 4 Does Not Modulate Amyloid-beta-Associated Neurodegeneration in Preclinical Alzheimer Disease.
Desikan, R. S., McEvoy, L. K., Holland, D., Thompson, W. K., Brewer, J. B., Aisen, P. S., … Alzheimer’s Disease Neuroimaging, I.
2013; Journal American Journal of Neuroradiology; vol. 34; no. 3; pp. 505-510; AWUVHdZzdzjauPDbjhq5 doi:10.3174/ajnr.A3267