Synthesizing Images of Tau Pathology from Cross-modal Neuroimaging using Deep Learning
J. Lee, B. J. Burkett, H.-K. Min, M. L. Senjem, E. Dicks, N. Corriveau-Lecavalier, C. T. Mester, H. J. Wiste, E. S. Lundt, M. E. Murray, A. T. Nguyen, R. R. Reichard, H. Botha, J. Graff-Radford, L. R. Barnard, , D. T. Jones
This study uses a CNN to impute tau PET images from cross-modal neuroimaging data, finding that FDG-based models improve classification of tau positivity and diagnostic groups.
bioRxiv · Sep 7, 2022Bioengineering