Machine learning for cardiac MRI: automated mapping of left atrium and pulmonary veins at human level performance

A. Mortazi, J. Burt, Raul Roya, Maria Marquez, U. Bagci

North American Society for Cardiovascular Imaging (NASCI) 45th Annual Meeting

Abstract

An abstract is not available in the lab archive. View the paper at its source.

A 2017 NASCI conference contribution on automated mapping of the left atrium and pulmonary veins in cardiac MRI. The lab’s publication listing identifies the work as a Young Investigator Award finalist.

Summary

The Machine and Hybrid Intelligence Lab lists this work as a contribution to the North American Society for Cardiovascular Imaging (NASCI) 45th Annual Meeting in 2017. The listed title concerns automated mapping of the left atrium and pulmonary veins in cardiac MRI. The lab’s publication listing records the contribution as a Young Investigator Award finalist; the supplied note instead says “Young Investigator Award Nominee.”

Cite this work

A. Mortazi, J. Burt, Raul Roya, Maria Marquez, U. Bagci (2017). Machine learning for cardiac MRI: automated mapping of left atrium and pulmonary veins at human level performance. North American Society for Cardiovascular Imaging (NASCI) 45th Annual Meeting

BibTeX