Cross-modal autoencoder framework learns holistic representations of cardiovascular state

A fundamental challenge in diagnostics is integrating multiple modalities to develop a joint characterization of physiological state. Using the heart as a model system, we develop a cross-modal autoencoder framework for integrating distinct data modalities and constructing a holistic representation...

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Detalles Bibliográficos
Autores principales: Radhakrishnan, Adityanarayanan, Friedman, Sam F., Khurshid, Shaan, Ng, Kenney, Batra, Puneet, Lubitz, Steven A., Philippakis, Anthony A., Uhler, Caroline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140057/
https://www.ncbi.nlm.nih.gov/pubmed/37105979
http://dx.doi.org/10.1038/s41467-023-38125-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140057/
https://www.ncbi.nlm.nih.gov/pubmed/37105979
http://dx.doi.org/10.1038/s41467-023-38125-0

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