A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space.
Abstract
null null We propose a novel optimization framework that integrates imaging and genetics data for simultaneous biomarker identification and disease classification. The generative component of our model uses a dictionary learning framework to project the imaging and genetic data into a shared low dimensional space. We have coupled both the data modalities by tying the linear projection coefficients to the same latent space. The discriminative...
Paper Details
Title
A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space.
Published Date
Sep 1, 2021
Journal
Volume
238
Pages
118200 - 118200
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