ADNI publication pdfs can be searched by year, journal, author, or keyword using the search boxes below.
6006 Total Publications
| Year | Title | Author | Journal |
|---|---|---|---|
| 2013 | Longitudinal progression of cognitive decline correlates with changes in the spatial pattern of brain 18F-FDG PET. | Shokouhi, S., Claassen, D., Kang, H., Ding, Z., Rogers, B., Mishra, A., & Riddle, W. R. | Journal Journal of Nuclear Medicine; |
| 2013 | Integrative genomics identifies APOE ε4 effectors in Alzheimer’s disease. | Rhinn, H., Fujita, R., Qiang, L., Cheng, R., Lee, J. H., & Abeliovich, A. | Journal Nature; |
| 2013 | Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer’s disease. | Dukart, J., Mueller, K., Villringer, A., Kherif, F., Draganski, B., Frackowiak, R., & Schroeter, M. L. | Journal Neuroimage: Clinical; |
| 2013 | Effects of baseline CSF alpha-synuclein on regional brain atrophy rates in healthy elders, mild cognitive impairment and Alzheimer’s disease. | Mattsson, N., Insel, P., Tosun, D., Zhang, J., Jack Jr., C. R., Galasko, D., … Weiner, M. | Journal PloS One; |
| 2013 | White Matter Abnormalities and Structural Hippocampal Disconnections in Amnestic Mild Cognitive Impairment and Alzheimer’s Disease. | Rowley, J., Fonov, V., Wu, O., Eskildsen, S. F., Schoemaker, D., Wu, L., … Rosa-Neto, P. | Journal PloS One; |
| 2013 | Multi-atlas segmentation without registration: a supervoxel-based approach. | Wang, H., & Yushkevich, P. a. | Journal Medical Image Computing and Computer-Assisted Intervention; |
| 2013 | Random forest-based similarity measures for multi-modal classification of Alzheimer’s disease. | Gray, K. R., Aljabar, P., Heckemann, R. a., Hammers, A., & Rueckert, D. | Journal Neuroimage; |
| 2013 | Modeling disease progression via multi-task learning. | Zhou, J., Liu, J., Narayan, V. a, & Ye, J. | Journal Neuroimage; |
| 2013 | Deformable templates guided discriminative models for robust 3D brain MRI segmentation. | Liu, C.-Y., Iglesias, J. E., & Tu, Z. | Journal Neuroinformatics; |
| 2013 | Predicting cognitive decline in subjects at risk for Alzheimer disease by using combined cerebrospinal fluid, MR imaging, and PET biomarkers. | Shaffer, J. L., Petrella, J. R., Sheldon, F. C., Choudhury, K. R., Calhoun, V. D., Coleman, R. E., & Doraiswamy, P. M. | Journal Radiology; |