Alzheimer’s Disease Neuroimaging Initiative

5586 Total Publications

Year	Title	Author	Journal
2019	A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis	Elahifasaee, F, Li, F and Yang, M	Journal Comput Math Methods Med;
2019	Predicting Amyloid-beta Levels in Amnestic Mild Cognitive Impairment Using Machine Learning Techniques	Ezzati, A, Harvey, DJ, Habeck, C, Golzar, A, Qureshi, IA, Zammit, AR, Hyun, J, Truelove-Hill, M, Hall, CB, Davatzikos, C and Lipton, RB	Journal J Alzheimers Dis;
2019	Quantification of structural brain connectivity via a conductance model	Frau-Pascual, A., Fogarty, M., Fischl, B., Yendiki, A. and Aganj, I.	Journal Neuroimage;
2019	Predicting progression from mild cognitive impairment to Alzheimer's disease on an individual subject basis by applying the CARE index across different independent cohorts	Chen, JC, G.: Shu, H.: Chen, G.: Ward, B. D.: Wang, Z.: Liu, D.: Antuono, P. G.: Li, S. J.: Zhang, Z.	Journal Aging (Albany NY);
2019	Cortisol, Amyloid-beta, and Reserve Predicts Alzheimer's Disease Progression for Cognitively Normal Older Adults	Udeh-Momoh, CTS, B.: Evans, S.: Zheng, B.: Sindi, S.: Tzoulaki, I.: Perneczky, R.: Middleton, L. T.	Journal J Alzheimers Dis;
2019	Cognitive reserve and clinical progression in Alzheimer disease: A paradoxical relationship	van Loenhoud, ACvdF, W. M.: Wink, A. M.: Dicks, E.: Groot, C.: Twisk, J.: Barkhof, F.: Scheltens, P.: Ossenkoppele, R.	Journal Neurology;
2019	Added value of amyloid PET in individualized risk predictions for MCI patients	van Maurik, IS, van der Kall, LM, de Wilde, A, Bouwman, FH, Scheltens, P, van Berckel, BNM, Berkhof, J and van der Flier, WM	Journal Alzheimers Dement (Amst);
2019	Personalized risk for clinical progression in cognitively normal subjects-the ABIDE project	van Maurik, ISS, R. E. R.: Verfaillie, S. C. J.: Zwan, M. D.: Bouwman, F. H.: Prins, N. D.: Teunissen, C. E.: Scheltens, P.: Barkhof, F.: Wattjes, M. P.: Molinuevo, J. L.: Rami, L.: Wolfsgruber, S.: Peters, O.: Jessen, F.: Berkhof, J.: van der Flier, W. M.	Journal Alzheimers Res Ther;
2019	Covariance statistics and network analysis of brain PET imaging studies	Veronese, M, Moro, L, Arcolin, M, Dipasquale, O, Rizzo, G, Expert, P, Khan, W, Fisher, PM, Svarer, C, Bertoldo, A, Howes, O and Turkheimer, FE	Journal Scientific Reports;
2019	Targeted genetic analysis of cerebral blood flow imaging phenotypes implicates the INPP5D gene	Yao, XH, Risacher, SL, Nho, K, Saykin, AJ, Wang, Z, Shen, L and Alzheimers Dis Neuroimaging, I	Journal Neurobiology of Aging;