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Journal Articles
- 2024
[j4]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
- [j3]Vipina Kuttichi Keloth, Shuxin Zhou, Luke Lindemann, Ling Zheng, Gai Elhanan, Andrew J. Einstein, James Geller, Yehoshua Perl:
Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients. BMC Medical Informatics Decis. Mak. 23(1): 40 (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
- 2024
- [c4]Mahshad Koohi H. Dehkordi, Navya Martin Kollapally, Yehoshua Perl, James Geller, Fadi P. Deek, Hao Liu, Vipina Kuttichi Keloth, Gai Elhanan, Andrew J. Einstein:
Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining. BIOSTEC (2) 2024: 498-505 - 2023
- [c3]Mahshad Koohi H. Dehkordi, Andrew J. Einstein, Shuxin Zhou, Gai Elhanan, Yehoshua Perl, Vipina Kuttichi Keloth, James Geller, Hao Liu:
Using annotation for computerized support for fast skimming of cardiology electronic health record notes. BIBM 2023: 4043-4050 - 2020
- [c2]Vipina Kuttichi Keloth, Shuxin Zhou, Andrew J. Einstein, Gai Elhanan, Yan Chen, James Geller, Yehoshua Perl:
Generating Training Data for Concept-Mining for an 'Interface Terminology' Annotating Cardiology EHRs. BIBM 2020: 1728-1735 - [c1]Vipina Kuttichi Keloth, Shuxin Zhou, Luke Lindemann, Gai Elhanan, Andrew J. Einstein, James Geller, Yehoshua Perl:
Mining Concepts for a COVID Interface Terminology for Annotation of EHRs. IEEE BigData 2020: 3753-3760
Coauthor Index
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