Impact of train/test sample regimen on performance estimate stability of machine learning in cardiovascular imaging

por Singh, Vikash, Pencina, Michael, Einstein, Andrew J., Liang, Joanna X., Berman, Daniel S., Slomka, Piotr
Publicado 2021

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging

por Pieszko, Konrad, Shanbhag, Aakash D., Singh, Ananya, Hauser, M. Timothy, Miller, Robert J. H., Liang, Joanna X., Motwani, Manish, Kwieciński, Jacek, Sharir, Tali, Einstein, Andrew J., Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo, Berman, Daniel S., Dey, Damini, Slomka, Piotr J.
Publicado 2023

Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging

por Williams, Michelle C., Bednarski, Bryan P., Pieszko, Konrad, Miller, Robert J. H., Kwiecinski, Jacek, Shanbhag, Aakash, Liang, Joanna X., Huang, Cathleen, Sharir, Tali, Dorbala, Sharmila, Di Carli, Marcelo F., Einstein, Andrew J., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Fish, Mathews B., Ruddy, Terrence D., Acampa, Wanda, Hauser, M. Timothy, Kaufmann, Philipp A., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.
Publicado 2023