×
  • Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.
Filter results by:

2110 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; 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; 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; 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; 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; 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; 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; 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; 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; 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; doi:10.3174/ajnr.A3267