Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry. - Richard Ríos; Robert J. H. Miller; Nipun Manral; Tali Sharir; Andrew J. Einstein; Mathews Fish; Terrence D. Ruddy; Philipp A. Kaufmann; Albert J. Sinusas; Edward J. Miller; Timothy M. Bateman; Sharmila Dorbala; et al. (Comput. Biol. Medicine, 2022)

Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction. - Bryan P. Bednarski; Aakash D. Shanbhag; Ananya Singh; Robert J. H. Miller; Heidi Gransar; Keiichiro Kuronuma; Tali Sharir; Sharmila Dorbala; Marcelo Di Carli; Matthews B. Fish; Terrence D. Ruddy; Daniel S. Berman; et al. (Image Processing, 2023)

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. - Konrad Pieszko; Aakash D. Shanbhag; Ananya Singh; M. Timothy Hauser; Robert J. H. Miller; Joanna X. Liang; Manish Motwani; Jacek Kwiecinski; Tali Sharir; Andrew J. Einstein; Mathews Fish; Terrence D. Ruddy; et al. (npj Digit. Medicine, 2023)