Arrhythmic Sudden Death (SCDA) Survival Prediction Using Deep Learning (DL) Analysis of Contrast-Enhanced Cardiac Magnetic Resonance Imaging (LGE-CMR)

Authors

Dan M. Popescu
Julie K. Shade
Changxin Lai
Konstantinos N. Aronis
David Ouyang
Dan Popescu
Dan R. Popescu
Dan C. Popescu
Alan H. Kadish, Touro UniversityFollow
Christine M. Albert
Dan Popescu
Katherine C. Wu
Natalia A. Trayanova

Roles

Author

Document Type

Article

Publication Date

1-1-2022

Journal Title

Heart Rhythm

DOI

10.1016/j.hrthm.2022.03.582

Recommended Citation

Popescu, D. M., Shade, J. K., Lai, C., Aronis, K. N., Ouyang, D., Popescu, D., Popescu, D. R., Popescu, D. C., Kadish, A. H., Albert, C. M., Popescu, D., Wu, K. C., & Trayanova, N. A. (2022). Arrhythmic Sudden Death (SCDA) Survival Prediction Using Deep Learning (DL) Analysis of Contrast-Enhanced Cardiac Magnetic Resonance Imaging (LGE-CMR). Heart Rhythm, 19 (5), S22. https://doi.org/10.1016/j.hrthm.2022.03.582