AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging by Robert J. H. Miller, Aakash Shanbhag, Aditya Killekar, Mark Lemley, Bryan Bednarski, Serge D. Van Kriekinge, Paul B. 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

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Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography by Robert J. H. Miller, Aditya Killekar, Aakash Shanbhag, Bryan Bednarski, Anna M. Michalowska, Terrence D. Ruddy, Andrew J. Einstein, David E. Newby, Mark Lemley, Konrad Pieszko, Serge D. Van Kriekinge, Paul B. Kavanagh, Joanna X. Liang, Cathleen Huang, Damini Dey, Daniel S. Berman, Piotr J. Slomka

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Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study by Andrew Lin, MBBS, Nipun Manral, MSc, Priscilla McElhinney, BSc, Aditya Killekar, MSc, Hidenari Matsumoto, MD, Jacek Kwiecinski, MD, Konrad Pieszko, MD, Aryabod Razipour, MD, Kajetan Grodecki, MD, Caroline Park, BSc, Yuka Otaki, MD, Mhairi Doris, MD, Alan C Kwan, MD, Donghee Han, MD, Keiichiro Kuronuma, MD, Guadalupe Flores Tomasino, MD, Evangelos Tzolos, MD, Aakash Shanbhag, MSc, Markus Goeller, MD, Mohamed Marwan, MD, Heidi Gransar, MS, Balaji K Tamarappoo, MD, Sebastien Cadet, MSc, Stephan Achenbach, ProfMD, Stephen J Nicholls, ProfMBBS, Dennis T Wong, MBBS, Daniel S Berman, MD, Marc Dweck, ProfMBChB, David E Newby, ProfMD, Michelle C Williams, MBChB, Piotr J Slomka, ProfPhD, Damini Dey, ProfPhD

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