Energy-temperature uncertainty relation in quantum thermodynamics von Miller, H. J. D., Anders, J.

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Elevation of antibiotic resistance genes at cold temperatures: implications for winter storage of sludge and biosolids von Miller, J.H, Novak, J.T, Knocke, W.R, Pruden, A

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

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Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study von Lin, Andrew, Wong, Nathan D, Razipour, Aryabod, McElhinney, Priscilla A, Commandeur, Frederic, Cadet, Sebastien J, Gransar, Heidi, Chen, Xi, Cantu, Stephanie, Miller, Robert J H, Nerlekar, Nitesh, Wong, Dennis T L, Slomka, Piotr J, Rozanski, Alan, Tamarappoo, Balaji K, Berman, Daniel S, Dey, Damini

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Diagnostic and prognostic value of Technetium-99m pyrophosphate uptake quantitation for transthyretin cardiac amyloidosis von Miller, Robert J.H., Cadet, Sebastien, Mah, Darren, Pournazari, Payam, Chan, Denise, Fine, Nowell M., Berman, Daniel S., Slomka, Piotr J.

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Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT von Eisenberg, Evann, Miller, Robert J.H., Hu, Lien-Hsin, Rios, Richard, Betancur, Julian, Azadani, Peyman, Han, Donghee, Sharir, Tali, Einstein, Andrew J., Bokhari, Sabahat, Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo, Liang, Joanna X., Otaki, Yuka, Tamarappoo, Balaji K., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images von Miller, Robert J. H., Singh, Ananya, Otaki, Yuka, Tamarappoo, Balaji K., Kavanagh, Paul, Parekh, Tejas, Hu, Lien-Hsin, Gransar, Heidi, Sharir, Tali, Einstein, Andrew J., Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo F., Liang, Joanna X., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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The application of artificial intelligence in nuclear cardiology von Otaki, Yuka, Miller, Robert J. H., Slomka, Piotr J.

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Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective stu... von Commandeur, Frederic, Slomka, Piotr J, Goeller, Markus, Chen, Xi, Cadet, Sebastien, Razipour, Aryabod, McElhinney, Priscilla, Gransar, Heidi, Cantu, Stephanie, Miller, Robert J H, Rozanski, Alan, Achenbach, Stephan, Tamarappoo, Balaji K, Berman, Daniel S, Dey, Damini

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Defining genotype-phenotype relationships in patients with hypertrophic cardiomyopathy using cardiovascular magnetic resonance imaging von Miller, Robert J H, Heidary, Shahriar, Pavlovic, Aleksandra, Schlachter, Audrey, Dash, Rajesh, Fleischmann, Dominik, Ashley, Euan A, Wheeler, Matthew T, Yang, Phillip C

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Automated quantitative analysis of CZT SPECT stratifies cardiovascular risk in the obese population: Analysis of the REFINE SPECT registry von Klein, Eyal, Miller, Robert J.H., Sharir, Tali, Einstein, Andrew J., Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo, Otaki, Yuka, Gransar, Heidi, Liang, Joanna X., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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External validation of the CRAX2MACE model von Hijazi, Waseem, Leslie, Willam, Filipchuk, Neil, Choo, Ryan, Wilton, Stephen, James, Matthew, Slomka, Piotr J., Miller, Robert J.H.

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Prevalence, incidence and clinical outcomes of epicardial coronary artery disease among transthyretin amyloidosis cardiomyopathy patients von Hassan, Rana, Miller, Robert J H, Howlett, Jonathan G, White, James A, Fine, Nowell M

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Collagen‐binding proteins of Streptococcus mutans and related streptococci von Avilés‐Reyes, A., Miller, J.H., Lemos, J.A., Abranches, J.

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Prevalence and predictors of automatically quantified myocardial ischemia within a multicenter international registry von Han, Donghee, Rozanski, Alan, Miller, Robert J.H., Sharir, Tali, Einstein, Andrew J., Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo, Liang, Joanna X., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry von Rios, Richard, Miller, Robert J H, Hu, Lien Hsin, Otaki, Yuka, Singh, Ananya, Diniz, Marcio, Sharir, Tali, Einstein, Andrew J, Fish, Mathews B, Ruddy, Terrence D, Kaufmann, Philipp A, Sinusas, Albert J, Miller, Edward J, Bateman, Timothy M, Dorbala, Sharmila, DiCarli, Marcelo, Van Kriekinge, Serge, Kavanagh, Paul, Parekh, Tejas, Liang, Joanna X, Dey, Damini, Berman, Daniel S, Slomka, Piotr

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Comparison of diabetes to other prognostic predictors among patients referred for cardiac stress testing: A contemporary analysis from the REFINE SPECT Registry von Han, Donghee, Rozanski, Alan, Gransar, Heidi, Tzolos, Evangelos, Miller, Robert J.H., Sharir, Tali, Einstein, Andrew J., Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo, Liang, Joanna X., Hu, Lien-Hsin, Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging von Pieszko, Konrad, Shanbhag, Aakash D., Singh, Ananya, Hauser, M. Timothy, Miller, Robert J. H., Liang, Joanna X., Motwani, Manish, Kwieciński, Jacek, Sharir, Tali, Einstein, Andrew J., Fish, Mathews B., Ruddy, Terrence D., Kaufmann, Philipp A., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Dorbala, Sharmila, Di Carli, Marcelo, Berman, Daniel S., Dey, Damini, Slomka, Piotr J.

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AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging von Miller, Robert J. H., Shanbhag, Aakash, Killekar, Aditya, Lemley, Mark, Bednarski, Bryan, Van Kriekinge, Serge D., Kavanagh, Paul B., Feher, Attila, Miller, Edward J., Einstein, Andrew J., Ruddy, Terrence D., Liang, Joanna X., Builoff, Valerie, Berman, Daniel S., Dey, Damini, Slomka, Piotr J.

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Quantification of myocardial blood flow by CZT-SPECT with motion correction and comparison with 15O-water PET von Otaki, Yuka, Manabe, Osamu, Miller, Robert J.H., Manrique, Alain, Nganoa, Catherine, Roth, Nathaniel, Berman, Daniel S., Germano, Guido, Slomka, Piotr J., Agostini, Denis

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