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4453 Total Publications

Prediction of fast decline in amyloid positive mild cognitive impairment patients using multimodal biomarkers
Jang, H, Park, J, Woo, S, Kim, S, Kim, HJ, Na, DL, Lockhart, SN, Kim, Y, Kim, KW, Cho, SH, Kim, SJ, Seong, JK and Seo, SW
2019; Journal Neuroimage Clin; vol. 24; pp. 101941;

An interpretable machine learning model for diagnosis of Alzheimer's disease
Das, D., Ito, J., Kadowaki, T. and Tsuda, K.
2019; Journal PeerJ; vol. 7; pp. e6543;

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;

Empirical examination of the replicability of associations between brain structure and psychological variables
Kharabian Masouleh, S, Eickhoff, SB, Hoffstaedter, F and Genon, S
2019; Journal Elife; vol. 8;

The relationship between domain-specific subjective cognitive decline and Alzheimer's pathology in normal elderly adults
Shokouhi, S, Conley, AC, Baker, SL, Albert, K, Kang, H, Gwirtsman, HE, Newhouse, PA and Alzheimers Dis Neuroimaging, I
2019; Journal Neurobiology of Aging; vol. 81; pp. 22-29;

TREML2 Mutation Mediate Alzheimer's Disease Risk by Altering Neuronal Degeneration
Song, YNL, J. Q.: Tan, C. C.: Wang, H. F.: Tan, M. S.: Cao, X. P.: Yu, J. T.: Tan, L.
PMID: 31156362 ; 2019; Journal Front Neurosci; vol. 13; pp. 455;

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease
Spasov, S., Passamonti, L., Duggento, A., Lio, P. and Toschi, N.
2019; Journal Neuroimage; vol. 189; pp. 276-287;