Assessing the Preparation of Undergraduate Planners for the Demands of Entry-Level Planning Positions von Miller, Edward V.

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Addressing the Consequences of School Closure Due to COVID‐19 on Children's Physical and Mental Well‐Being von Hoffman, Jessica A., Miller, Edward A.

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Nonbiopsy Diagnosis of Cardiac Transthyretin Amyloidosis von Gillmore, Julian D, Maurer, Mathew S, Falk, Rodney H, Merlini, Giampaolo, Damy, Thibaud, Dispenzieri, Angela, Wechalekar, Ashutosh D, Berk, John L, Quarta, Candida C, Grogan, Martha, Lachmann, Helen J, Bokhari, Sabahat, Castano, Adam, Dorbala, Sharmila, Johnson, Geoff B, Glaudemans, Andor W.J.M, Rezk, Tamer, Fontana, Marianna, Palladini, Giovanni, Milani, Paolo, Guidalotti, Pierluigi L, Flatman, Katarina, Lane, Thirusha, Vonberg, Frederick W, Whelan, Carol J, Moon, James C, Ruberg, Frederick L, Miller, Edward J, Hutt, David F, Hazenberg, Bouke P, Rapezzi, Claudio, Hawkins, Philip N

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Catalytic Dynamic Kinetic Resolutions in Tandem to Construct Two-Axis Terphenyl Atropisomers von Beleh, Omar M, Miller, Edward, Toste, F. Dean, Miller, Scott J

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Prediction of Protein–Ligand Binding Poses via a Combination of Induced Fit Docking and Metadynamics Simulations von Clark, Anthony J, Tiwary, Pratyush, Borrelli, Ken, Feng, Shulu, Miller, Edward B, Abel, Robert, Friesner, Richard A, Berne, B. J

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Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study von Yang, Jaewon, Shi, Luyao, Wang, Rui, Miller, Edward J, Sinusas, Albert J, Liu, Chi, Gullberg, Grant T, Seo, Youngho

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Inhibition of type 1 immunity with tofacitinib is associated with marked improvement in longstanding sarcoidosis von Damsky, William, Wang, Alice, Kim, Daniel J., Young, Bryan D., Singh, Katelyn, Murphy, Michael J., Daccache, Joseph, Clark, Abigale, Ayasun, Ruveyda, Ryu, Changwan, McGeary, Meaghan K., Odell, Ian D., Fazzone-Chettiar, Ramesh, Pucar, Darko, Homer, Robert, Gulati, Mridu, Miller, Edward J., Bosenberg, Marcus, Flavell, Richard A., King, Brett

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Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events von Miller, Robert J H, Pieszko, Konrad, Shanbhag, Aakash, Feher, Attila, Lemley, Mark, Killekar, Aditya, Kavanagh, Paul B, Van Kriekinge, Serge D, Liang, Joanna X, Huang, Cathleen, Miller, Edward J, Bateman, Timothy, Berman, Daniel S, Dey, Damini, Slomka, Piotr J

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ASNC/AHA/ASE/EANM/HFSA/ISA/SCMR/SNMMI expert consensus recommendations for multimodality imaging in cardiac amyloidosis: Part 1 of 2—evidence base and standardized methods of imagi... von Dorbala, Sharmila, Ando, Yukio, Bokhari, Sabahat, Dispenzieri, Angela, Falk, Rodney H., Ferrari, Victor A., Fontana, Marianna, Gheysens, Olivier, Gillmore, Julian D., Glaudemans, Andor W.J.M., Hanna, Mazen A., Hazenberg, Bouke P.C., Kristen, Arnt V., Kwong, Raymond Y., Maurer, Mathew S., Merlini, Giampaolo, Miller, Edward J., Moon, James C., Murthy, Venkatesh L., Quarta, C. Cristina, Rapezzi, Claudio, Ruberg, Frederick L., Shah, Sanjiv J., Slart, Riemer H.J.A., Verberne, Hein J., Bourque, Jamieson M.

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Association of Chronic Diseases and Functional Limitations with Subjective Age: The Mediating Role of Sense of Control von Prasad, Anyah, Shellito, Natalie, Alan Miller, Edward, Burr, Jeffrey A

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Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study von Betancur, Julian, Hu, Lien-Hsin, Commandeur, Frederic, 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, Germano, Guido, Otaki, Yuka, Liang, Joanna X, Tamarappoo, Balaji K, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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Complex cellular physiology underlies the use of FDG-PET imaging in investigating post-infarction remodeling von Miller, Edward J.

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The Protective Effects of Religiosity on Depression: A 2-Year Prospective Study von Ronneberg, Corina R, Miller, Edward Alan, Dugan, Elizabeth, Porell, Frank

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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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Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events von Pieszko, Konrad, Shanbhag, Aakash, Killekar, Aditya, Miller, Robert J.H., Lemley, Mark, Otaki, Yuka, Singh, Ananya, Kwiecinski, Jacek, Gransar, Heidi, Van Kriekinge, Serge D., Kavanagh, Paul B., Miller, Edward J., Bateman, Timothy, Liang, Joanna X., Berman, Daniel S., Dey, Damini, Slomka, Piotr J.

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Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning von Liu, Hui, Wu, Jing, Miller, Edward J., Liu, Chi, Yaqiang, Liu, Liu, Yi-Hwa

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Optimal interpretation of Tc99m PYP in 2020: Avoiding the million-dollar mistake von Gerber, Jaime, Miller, Edward J.

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BOD1L Is Required to Suppress Deleterious Resection of Stressed Replication Forks von Higgs, Martin R., Reynolds, John J., Winczura, Alicja, Blackford, Andrew N., Borel, Valérie, Miller, Edward S., Zlatanou, Anastasia, Nieminuszczy, Jadwiga, Ryan, Ellis L., Davies, Nicholas J., Stankovic, Tatjana, Boulton, Simon J., Niedzwiedz, Wojciech, Stewart, Grant S.

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PET Myocardial Blood Flow for Post-transplant Surveillance and Cardiac Allograft Vasculopathy in Heart Transplant Recipients von Feher, Attila, Miller, Edward J.

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Addressing Health Disparities—The Case for Variant Transthyretin Cardiac Amyloidosis Grows Stronger von Maurer, Mathew S, Miller, Edward J, Ruberg, Frederick L

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