Generative Method to Discover Genetically Driven Image Biomarkers
We present a generative probabilistic approach to discovery of disease subtypes determined by the genetic variants. In many diseases, multiple types of pathology may present simultaneously in a patient, making quantification of the disease challenging. Our method seeks common co-occurring image and...
Main Authors: | Cho, Michael, Estepar, Raul San Jose, Batmanghelich, Nematollah, Saeedi, Ardavan, Golland, Polina |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Springer-Verlag
2017
|
Online Access: | http://hdl.handle.net/1721.1/111020 https://orcid.org/0000-0002-1164-0500 https://orcid.org/0000-0002-4616-8250 https://orcid.org/0000-0003-2516-731X |
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