B1699
Title: Deep learning in neuro-imaging genetics
Authors: Wei Pan - University of Minnesota (United States) [presenting]
Abstract: Several convolutional neural networks/deep learning algorithms are first applied to brain MRI data from the ADNI to extract low-to-high level imaging features, which are then used in downstream analyses of a genome-wide association study (GWAS) to detect genetic variants associated with Alzheimers diseases. We discuss both some promising preliminary results and challenges in our application.
