% alzhub.org library filter % Source: https://alzhub.org/research?category=digital&institution=I4210105615 % 2 entries, in the order the page lists them. Built from alzhub.org's own records. % 0 entries have no readable author in the source record and carry no author field. @article{stamate2019-31890857, author = {Stamate, D. and Kim, M. and Proitsi, P. and Westwood, S. and Baird, A. and Nevado-Holgado, A. and Hye, A. and Bos, I. and others}, title = {{A metabolite-based machine learning approach to diagnose Alzheimer-type dementia in blood: Results from the European Medical Information Framework for Alzheimer disease biomarker discovery cohort}}, journal = {Alzheimer's \& dementia (New York, N. Y.)}, year = {2019}, doi = {10.1016/j.trci.2019.11.001}, pmid = {31890857}, url = {https://doi.org/10.1016/j.trci.2019.11.001} } @article{dyrba2015-25644739, author = {Dyrba, M. and Barkhof, F. and Fellgiebel, A. and Filippi, M. and Hausner, L. and Hauenstein, K. and Kirste, T. and Teipel, S. J. and others}, title = {{Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data}}, journal = {Journal of neuroimaging : official journal of the American Society of Neuroimaging}, year = {2015}, doi = {10.1111/jon.12214}, pmid = {25644739}, url = {https://doi.org/10.1111/jon.12214} }