Prognostic value of combined clinical and myocardial perfusion imaging data using machine learning

Por Betancur, Julian, Otaki, Yuka, Motwani, Manish, Fish, Mathews B., Lemley, Mark, Dey, Damini, Gransar, Heidi, Tamarappoo, Balaji, Germano, Guido, Sharir, Tali, Berman, Daniel S., Slomka, Piotr J.
Publicado no JACC Cardiovasc Imaging (2017)

Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation

Por Betancur, Julian, Rubeaux, Mathieu, Fuchs, Tobias A., Otaki, Yuka, Arnson, Yoav, Slipczuk, Leandro, Benz, Dominik C., Germano, Guido, Dey, Damini, Lin, Chih-Jen, Berman, Daniel S., Kaufmann, Philipp A., Slomka, Piotr J.
Publicado no J Nucl Med (2017)

Integrated prediction of lesion-specific ischemia from quantitative coronary CT Angiography using machine learning: a multicenter study

Por Dey, Damini, Gaur, Sara, Ovrehus, Kristian A, Slomka, Piotr J, Betancur, Julian, Goeller, Markus, Hell, Michaela M, Gransar, Heidi, Berman, Daniel S, Achenbach, Stephan, Botker, Hans Erik, Jensen, Jesper Moller, Lassen, Jens Flensted, Norgaard, Bjarne Linde
Publicado no Eur Radiol (2018)