Generative Method to Discover Genetically Driven Image Biomarkers

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...

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Bibliographic Details
Main Authors: Cho, Michael, Estepar, Raul San Jose, Batmanghelich, Nematollah, Saeedi, Ardavan, Golland, Polina
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

Internet

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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