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4453 Total Publications

Prediction of Alzheimer's disease dementia with MRI beyond the short-term: Implications for the design of predictive models
Moscoso, A, Silva-Rodriguez, J, Aldrey, JM, Cortes, J, Fernandez-Ferreiro, A, Gomez-Lado, N, Ruibal, A, Aguiara, P and Alzheimers Dis Neuroimaging, I
2019; Journal Neuroimage-Clinical; vol. 23; pp. 9;
Non-linear registration improves statistical power to detect hippocampal atrophy in aging and dementia
Bartel, FV, M.: de Ruiter, M.: Belderbos, J.: Barkhof, F.: Vrenken, H.: de Munck, J. C.: van Herk, M.
2019; Journal Neuroimage Clin; vol. 23; pp. 101902;
Biomarker-based prognosis for people with mild cognitive impairment (ABIDE): a modelling study
van Maurik, IS, Vos, SJ, Bos, I, Bouwman, FH, Teunissen, CE, Scheltens, P, Barkhof, F, Frolich, L, Kornhuber, J, Wiltfang, J, Maier, W, Peters, O, Ruther, E, Nobili, F, Frisoni, GB, Spiru, L, Freund-Levi, Y, Wallin, AK, Hampel, H, Soininen, H, Tsolaki, M, Verhey, F, Kloszewska, I, Mecocci, P, Vellas, B, Lovestone, S, Galluzzi, S, Herukka, SK, Santana, I, Baldeiras, I, de Mendonca, A, Silva, D, Chetelat, G, Egret, S, Palmqvist, S, Hansson, O, Visser, PJ, Berkhof, J and van der Flier, WM
2019; Journal Lancet Neurol; vol. 18; no. 11; pp. 1034-1044;
Normative brain volumetry derived from different reference populations: impact on single-subject diagnostic assessment in dementia
Vinke, EJ, Huizinga, W, Bergtholdt, M, Adams, HH, Steketee, RME, Papma, JM, de Jong, FJ, Niessen, WJ, Ikram, MA, Wenzel, F, Vernooij, MW and Alzheimer's Dis Neuroimaging, I
2019; Journal Neurobiology of Aging; vol. 84; pp. 16-Sep;
Optimal population screening policies for Alzheimer’s disease*
Önen, Z, Sayin, S and Gürvit, IH
2019; Journal IISE Transactions on Healthcare Systems Engineering; vol. 9; no. 1; pp. 14-25;
Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis
Gao, FW, T.: Chu, X.: Yoon, H.: Xu, Y.: Patel, B.
2019; Journal IEEE J Biomed Health Inform;
EEG evidence of compensatory mechanisms in preclinical Alzheimer's disease
Gaubert, S, Raimondo, F, Houot, M, Corsi, MC, Naccache, L, Diego Sitt, J, Hermann, B, Oudiette, D, Gagliardi, G, Habert, MO, Dubois, B, De Vico Fallani, F, Bakardjian, H and Epelbaum, S
2019; Journal Brain; vol. 142; no. 7; pp. 2096-2112;
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling
Ghazi, MM, Nielsen, M, Pai, A, Cardoso, MJ, Modat, M, Ourselin, S, Sorensen, L and Alzheimers Dis Neuroimaging, I
2019; Journal Medical Image Analysis; vol. 53; pp. 39-46;
A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures
Grassi, MR, N.: Caldirola, D.: Loewenstein, D.: Schruers, K.: Perna, G.: Dumontier, M.
2019; Journal Front Neurol; vol. 10; pp. 756;
Genome-wide association study of hippocampal atrophy rate in non-demented elders
Guo, Y, Xu, W, Li, JQ, Ou, YN, Shen, XN, Huang, YY, Dong, Q, Tan, L, Yu, JT and Alzheimers Dis Neuroimaging, I
2019; Journal Aging-Us; vol. 11; no. 22; pp. 10468-10484;