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Journal Articles
- 2024
[j3]Robert J. H. Miller, Aakash D. Shanbhag, Aditya Killekar, Mark Lemley
, Bryan P. Bednarski, Serge D. Van Kriekinge, Paul Kavanagh, Attila Feher, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, Valerie Builoff, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. npj Digit. Medicine 7(1) (2024)- 2023
- [j2]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, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S. Berman, Damini Dey, Piotr J. Slomka:
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. npj Digit. Medicine 6 (2023) - 2022
- [j1]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, Marcelo Di Carli, Serge D. Van Kriekinge, Paul Kavanagh, Tejas Parekh, Joanna X. Liang, Damini Dey, Daniel S. Berman, Piotr J. Slomka:
Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry. Comput. Biol. Medicine 145: 105449 (2022)
Conference and Workshop Papers
- 2023
- [c1]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, Damini Dey, Piotr J. Slomka:
Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction. Image Processing 2023
Coauthor Index
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