Alzheimer’s Disease Neuroimaging Initiative

5586 Total Publications

Year	Title	Author	Journal
2013	Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease.	Lambert, J. C., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., … Amouyel, P.	Journal Nature Genetics;
2013	Man versus machine: comparison of radiologists’ interpretations and NeuroQuant(R) volumetric analyses of brain MRIs in patients with traumatic brain injury	Ross, D. E., Ochs, a L., Seabaugh, J. M., Shrader, C. R., & Alzheimer’s Disease Neuroimaging, I.	Journal Journal of Neuropsychiatry and Clinical Neuroscience;
2013	Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization.	Ortiz, A., G??rriz, J. M., Ram??rez, J., & Salas-Gonz??lez, D.	Journal Neurocomputing;
2013	Prediction of Alzheimer’s disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning.	Eskildsen, S. F., Coupé, P., García-Lorenzo, D., Fonov, V., Pruessner, J. C., & Collins, D. L.	Journal Neuroimage;
2013	Bi-level multi-source learning for heterogeneous block-wise missing data.	Xiang, S., Yuan, L., Fan, W., Wang, Y., Thompson, P. M., & Ye, J.	Journal Neuroimage;
2013	Machine learning-based method for personalized and cost-effective detection of Alzheimer’s disease.	Escudero, J., Ifeachor, E., Zajicek, J. P., Green, C., Shearer, J., & Pearson, S.	Journal IEEE Transactions on Bio-Medical Engineering;
2013	Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer’s disease. Int J Data Min Bioinform	Ayhan MS, Benton RG, Raghavan V V, Choubey S.	Journal International Journal of Data Mining and Bioinformatics;
2013	Spatial and anatomical regularization of SVM: A general framework for neuroimaging data.	Cuingnet, R., Glaunés, J. A., Chupin, M., Benali, H., & Colliot, O.	Journal IEEE Transactions on Pattern Analysis and Machine Intelligence;
2013	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.	Journal IEEE/ACM Transactions on Computational Biology and Bioinformatics;
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;