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2110 Total Publications

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;
Doubly sparse regression incorporating graphical structure among predictors
Stephenson, M, Ali, RA, Darlington, GA and Alzheimers Dis Neuroimaging, I
2019; Journal Canadian Journal of Statistics-Revue Canadienne De Statistique; vol. 47; no. 4; pp. 729-747;
High-order Feature Learning for Multi-atlas based Label Fusion: Application to Brain Segmentation with MRI
Sun, L, Shao, W, Wang, M, Zhang, D and Liu, M
2019; Journal IEEE Trans Image Process;
Polygenic hazard score, amyloid deposition and Alzheimer's neurodegeneration
Tan, CH, Bonham, LW, Fan, CC, Mormino, EC, Sugrue, LP, Broce, IJ, Hess, CP, Yokoyama, JS, Rabinovici, GD, Miller, BL, Yaffe, K, Schellenberg, GD, Kauppi, K, Holland, D, McEvoy, LK, Kukull, WA, Tosun, D, Weiner, MW, Sperling, RA, Bennett, DA, Hyman, BT, Andreassen, OA, Dale, AM, Desikan, RS and Alzheimers Dis, N
2019; Journal Brain; vol. 142; pp. 460-470;
Association of Apolipoprotein E epsilon4 With Medial Temporal Tau Independent of Amyloid-beta
Therriault, J, Benedet, AL, Pascoal, TA, Mathotaarachchi, S, Chamoun, M, Savard, M, Thomas, E, Kang, MS, Lussier, F, Tissot, C, Parsons, M, Qureshi, MNI, Vitali, P, Massarweh, G, Soucy, JP, Rej, S, Saha-Chaudhuri, P, Gauthier, S and Rosa-Neto, P
2019; Journal JAMA Neurol;
White matter hyperintensities and their relationship to cognition: Effects of segmentation algorithm
Tubi, MA, Feingold, FW, Kothapalli, D, Hare, ET, King, KS, Thompson, PM and Braskie, MN
2019; Journal Neuroimage; pp. 116327;
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;
Automated segmentation of medial temporal lobe subregions on in vivo T1-weighted MRI in early stages of Alzheimer's disease
Xie, LW, L. E. M.: Pluta, J.: de Flores, R.: Piskin, V.: Manjon, J. V.: Wang, H.: Das, S. R.: Ding, S. L.: Wolk, D. A.: Yushkevich, P. A.
2019; Journal Hum Brain Mapp; vol. 40; no. 12; pp. 3431-3451;