Rine Nakanishi

Automated estimation of image quality for coronary computed tomographic angiography using machine learning

Leo Grady, Sethuraman Sankaran, Charles A. Taylor, 2018, European Radiology.

Threshold for the upper normal limit of indexed epicardial fat volume: derivation in a healthy population and validation in an outcome-based study.

Damini Dey, Piotr J Slomka, Ryo Nakazato, 2011, The American journal of cardiology.

Improved accuracy of myocardial perfusion SPECT for detection of coronary artery disease by machine learning in a large population

Piotr J. Slomka, Damini Dey, Guido Germano, 2013, Journal of Nuclear Cardiology.

Relationship of epicardial fat volume to coronary plaque, severe coronary stenosis, and high-risk coronary plaque features assessed by coronary CT angiography.

Damini Dey, Piotr J Slomka, Ryo Nakazato, 2013, Journal of cardiovascular computed tomography.

Noninvasive FFR derived from coronary CT angiography in the management of coronary artery disease: technology and clinical update

R. Nakanishi, M. Budoff, Rine Nakanishi, 2016, Vascular health and risk management.

IMPROVED ACCURACY OF MYOCARDIAL PERFUSION SPECT FOR DETECTION OF CORONARY ARTERY DISEASE BY MACHINE LEARNING IN A LARGE POPULATION

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2013 .

Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population

Daniel S. Berman, Damini Dey, Guido Germano, 2015, Journal of Nuclear Cardiology.