Forging Political Compromise: Antonín Svehla and the Czechoslovak Republican Party, 1918–1933 von Miller, Daniel

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SYSTEMS AND METHODS FOR PROVIDING A VIRTUAL SAFETY DEPOSIT BOX FOR REMOTE ACCESS TO STORED DIGITAL AND VIRTUAL CONTENT von Sriramanane, Devendran A, Davis, Jeremiah L, Owen Welsh, Stephanie Jeanne, Simon, Kathy Ann, Miller, Daniel Edward, Moritz, Jason Rande

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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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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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Decentralized Control of Large-Scale Systems von Davison, Edward J, Aghdam, Amir G, Miller, Daniel E

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Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease von Otaki, Yuka, Singh, Ananya, Kavanagh, Paul, Miller, Robert J.H., Parekh, Tejas, Tamarappoo, Balaji K., 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, Cadet, Sebastien, Liang, Joanna X., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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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 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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The response of relativistic outflowing gas to the inner accretion disk of a black hole von Parker, Michael L., Pinto, Ciro, Fabian, Andrew C., Lohfink, Anne, Buisson, Douglas J. K., Alston, William N., Kara, Erin, Cackett, Edward M., Chiang, Chia-Ying, Dauser, Thomas, De Marco, Barbara, Gallo, Luigi C., Garcia, Javier, Harrison, Fiona A., King, Ashley L., Middleton, Matthew J., Miller, Jon M., Miniutti, Giovanni, Reynolds, Christopher S., Uttley, Phil, Vasudevan, Ranjan, Walton, Dominic J., Wilkins, Daniel R., Zoghbi, Abderahmen

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Deep Learning-Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT von Shanbhag, Aakash D, Miller, Robert J H, Pieszko, Konrad, Lemley, Mark, Kavanagh, Paul, Feher, Attila, Miller, Edward J, Sinusas, Albert J, Kaufmann, Philipp A, Han, Donghee, Huang, Cathleen, Liang, Joanna X, Berman, Daniel S, Dey, Damini, Slomka, Piotr J

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Variability in the sensitivity among model simulations of permafrost and carbon dynamics in the permafrost region between 1960 and 2009 von McGuire, A. David, Koven, Charles, Lawrence, David M., Clein, Joy S., Xia, Jiangyang, Beer, Christian, Burke, Eleanor, Chen, Guangsheng, Chen, Xiaodong, Delire, Christine, Jafarov, Elchin, MacDougall, Andrew H., Marchenko, Sergey, Nicolsky, Dmitry, Peng, Shushi, Rinke, Annette, Saito, Kazuyuki, Zhang, Wenxin, Alkama, Ramdane, Bohn, Theodore J., Ciais, Philippe, Decharme, Bertrand, Ekici, Altug, Gouttevin, Isabelle, Hajima, Tomohiro, Hayes, Daniel J., Ji, Duoying, Krinner, Gerhard, Lettenmaier, Dennis P., Luo, Yiqi, Miller, Paul A., Moore, John C., Romanovsky, Vladimir, Schädel, Christina, Schaefer, Kevin, Schuur, Edward A.G., Smith, Benjamin, Sueyoshi, Tetsuo, Zhuang, Qianlai

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Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging von Miller, Robert J H, Kuronuma, Keiichiro, Singh, Ananya, Otaki, Yuka, Hayes, Sean, Chareonthaitawee, Panithaya, Kavanagh, Paul, Parekh, Tejas, Tamarappoo, Balaji K, 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, Carli, Marcelo Di, Cadet, Sebastien, Liang, Joanna X, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study von Betancur, Julian, Commandeur, Frederic, Motlagh, Mahsaw, Sharir, Tali, Einstein, Andrew J, Bokhari, Sabahat, Fish, Mathews B, Ruddy, Terrence D, Kaufmann, Philipp, Sinusas, Albert J, Miller, Edward J, Bateman, Timothy M, Dorbala, Sharmila, Di Carli, Marcelo, Germano, Guido, Otaki, Yuka, Tamarappoo, Balaji K, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry von Hu, Lien-Hsin, Betancur, Julian, 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, Germano, Guido, Commandeur, Frederic, Liang, Joanna X, Otaki, Yuka, Tamarappoo, Balaji K, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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The Black Hole Candidate Swift J1728.9–3613 and the Supernova Remnant G351.9–0.9 von Balakrishnan, Mayura, Draghis, Paul A., Miller, Jon M., Bright, Joe, Fender, Robert, Ng, Mason, Cackett, Edward, Fabian, Andrew, Kuntz, Kip, Miller-Jones, James C. A., Proga, Daniel, Ray, Paul S., Raymond, John, Reynolds, Mark, Zoghbi, Abderahmen

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Safety and Efficacy of NVX-CoV2373 Covid-19 Vaccine von Heath, Paul T, Galiza, Eva P, Baxter, David N, Boffito, Marta, Browne, Duncan, Burns, Fiona, Chadwick, David R, Clark, Rebecca, Cosgrove, Catherine, Galloway, James, Goodman, Anna L, Heer, Amardeep, Higham, Andrew, Iyengar, Shalini, Jamal, Arham, Jeanes, Christopher, Kalra, Philip A, Kyriakidou, Christina, McAuley, Daniel F, Meyrick, Agnieszka, Minassian, Angela M, Minton, Jane, Moore, Patrick, Munsoor, Imrozia, Nicholls, Helen, Osanlou, Orod, Packham, Jonathan, Pretswell, Carol H, San Francisco Ramos, Alberto, Saralaya, Dinesh, Sheridan, Ray P, Smith, Richard, Soiza, Roy L, Swift, Pauline A, Thomson, Emma C, Turner, Jeremy, Viljoen, Marianne E, Albert, Gary, Cho, Iksung, Dubovsky, Filip, Glenn, Greg, Rivers, Joy, Robertson, Andreana, Smith, Kathy, Toback, Seth

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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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Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology von Conolly, Rory B, Ankley, Gerald T, Cheng, WanYun, Mayo, Michael L, Miller, David H, Perkins, Edward J, Villeneuve, Daniel L, Watanabe, Karen H

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Systematic bromodomain protein screens identify homologous recombination and R-loop suppression pathways involved in genome integrity von Kim, Jae Jin, Lee, Seo Yun, Gong, Fade, Battenhouse, Anna M, Boutz, Daniel R, Bashyal, Aarti, Refvik, Samantha T, Chiang, Cheng-Ming, Xhemalce, Blerta, Paull, Tanya T, Brodbelt, Jennifer S, Marcotte, Edward M, Miller, Kyle M

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