Predicting Alzheimer's disease progression using deep recurrent neural networks

by Nguyen, M., He, T., An, L., Alexander, D.C., Feng, J., Yeo, B.T.T., for the Alzheimer's Disease Neuroimaging Initiative.
Published 2021

A set-based mixed effect model for gene-environment interaction and its application to neuroimaging phenotypes

by Wang, C, Sun, J, Guillaume, B, Ge, T, Hibar, D.P, Greenwood, C.M.T, Qiu, A, The Alzheimer's Disease Neuroimaging Initiative
Published 2020

A highly predictive signature of cognition and brain atrophy for progression to Alzheimer's dementia.

by Tam, Angela, Dansereau, Christian, Iturria-Medina, Yasser, Urchs, Sebastian, Orban, Pierre, Sharmarke, Hanad, Breitner, John, Bellec, Pierre, Alzheimer's Disease Neuroimaging Initiative
Published 2019

Genomic profiling reveals mutational landscape in parathyroid carcinomas

by Wang, C, Sun, J, Guillaume, B, Ge, T, Hibar, D.P, Greenwood, C.M.T, Qiu, A, The Alzheimer's Disease Neuroimaging Initiative, Pandya, C, Uzilov, A.V, Bellizzi, J, Lau, C.Y, Moe, A.S, Strahl, M, Hamou, W, Newman, L.C, Fink, M.Y, Antipin, Y, Yu, W, Stevenson, M, Cavaco, B.M, Teh, B.T, Thakker, R.V, Morreau, H, Schadt, E.E, Sebra, R, Li, S.D, Arnold, A, Chen, R
Published 2020