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Publications

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2110 Total Publications

Fast predictive simple geodesic regression
Ding, ZF, G.: Yang, X.: Thompson, P.: Kwitt, R.: Niethammer, M.
2019; Journal Med Image Anal; vol. 56; pp. 193-209;
Selection for depression-specific dementia cases with replication in two cohorts
Royall, DRP, R. F.
2019; Journal PLoS One; vol. 14; no. 5; pp. e0216413;
Participant and study partner prediction and identification of cognitive impairment in preclinical Alzheimer's disease: study partner vs. participant accuracy
Ryan, MM, Grill, JD and Gillen, DL
2019; Journal Alzheimers Res Ther; vol. 11; no. 1; pp. 85;
A region-based gene association study combined with a leave-one-out sensitivity analysis identifies SMG1 as a pancreatic cancer susceptibility gene
Wong, C, Chen, F, Alirezaie, N, Wang, Y, Cuggia, A, Borgida, A, Holter, S, Lenko, T, Domecq, C, Petersen, GM, Syngal, S, Brand, R, Rustgi, AK, Cote, ML, Stoffel, E, Olson, SH, Roberts, NJ, Akbari, MR, Majewski, J, Klein, AP, Greenwood, CMT, Gallinger, S, Zogopoulos, G and Alzheimers Dis Neuroimaging, I
2019; Journal Plos Genetics; vol. 15; no. 8; pp. 20;
Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer's disease
Archetti, DI, S.: Venkatraghavan, V.: Wottschel, V.: Young, A. L.: Bellio, M.: Bron, E. E.: Klein, S.: Barkhof, F.: Alexander, D. C.: Oxtoby, N. P.: Frisoni, G. B.: Redolfi, A.
2019; Journal Neuroimage Clin; vol. 24; pp. 101954;
Automated Generation of Radiologic Descriptions on Brain Volume Changes From T1-Weighted MR Images: Initial Assessment of Feasibility
Akazawa, K, Sakamoto, R, Nakajima, S, Wu, D, Li, Y, Oishi, K, Faria, AV, Yamada, K, Togashi, K, Lyketsos, CG, Miller, MI, Mori, S and Alzheimers Dis Neuroimaging, I
2019; Journal Frontiers in Neurology; vol. 10; pp. 14;
Accurate risk estimation of β-amyloid positivity to identify prodromal Alzheimer's disease: cross-validation study of practical algorithms
Palmqvist, S, Insel, PS, Zetterberg, H, Blennow, K, Brix, B, Stomrud, E, Mattsson, N, Hansson, O and Initiative, AsDN
2019; Journal Alzheimer's & Dementia; vol. 15; no. 2; pp. 194-204;
Neuroimaging modality fusion in Alzheimer's classification using convolutional neural networks
Punjabi, A, Martersteck, A, Wang, Y, Parrish, TB and Katsaggelos, AK
2019; Journal PLoS One; vol. 14; no. 12; pp. e0225759;
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.
2019; Journal J Alzheimers Dis; vol. 70; no. 2; pp. 553-562;
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.
2019; Journal Neurology; vol. 93; no. 4; pp. e334-e346;