Machine learning to predict abnormal myocardial perfusion from pre-test features von Miller, Robert J.H., Hauser, M. Timothy, 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, Huang, Cathleen, Liang, Joanna X., Han, Donghee, 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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The Relationship Between Quantitative Ischemia, Early Revascularization, and Major Adverse Cardiovascular Events von Miller, Robert JH, Bednarski, Bryan, Cui, Yujie, Calsavara, Vinicius, Patel, Krishna, Rozanski, Alan, Liang, Joanna X., Builoff, Valerie, Acampa, Wanda, Bateman, Timothy M., Di Carli, Marcelo, Dorbala, Sharmila, Einstein, Andrew J., Fish, Matthews B., Hauser, M. Timothy, Kaufmann, Philipp A., Miller, Edward J., Ruddy, Terrence D., Sharir, Tali, Sinusas, Albert J., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging von Williams, Michelle C., Bednarski, Bryan P., Pieszko, Konrad, Miller, Robert J. H., Kwiecinski, Jacek, Shanbhag, Aakash, Liang, Joanna X., Huang, Cathleen, Sharir, Tali, Dorbala, Sharmila, Di Carli, Marcelo F., Einstein, Andrew J., Sinusas, Albert J., Miller, Edward J., Bateman, Timothy M., Fish, Mathews B., Ruddy, Terrence D., Acampa, Wanda, Hauser, M. Timothy, Kaufmann, Philipp A., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study von Miller, Robert J.H., Bednarski, Bryan P., Pieszko, Konrad, Kwiecinski, Jacek, Williams, Michelle C., Shanbhag, Aakash, Liang, Joanna X., Huang, Cathleen, Sharir, Tali, Hauser, M. Timothy, Dorbala, Sharmila, Di Carli, Marcelo F., Fish, Mathews B., Ruddy, Terrence D., Bateman, Timothy M., Einstein, Andrew J., Kaufmann, Philipp A., Miller, Edward J., Sinusas, Albert J., Acampa, Wanda, Han, Donghee, Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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Automating Revascularization Decision Support: Clinical Application of Artificial Intelligence von Zhang, Wenhao, Miller, Robert JH, Patel, Krishna K., Shanbhag, Aakash, Liang, Joanna X., DiCarli, Marcelo F., Dorbala, Sharmila, Einstein, Andrew J., Fish, Mathews, Hauser, M. Timothy, Kaufmann, Philipp A., Miller, Edward J., Ruddy, Terrence D., Bateman, Timothy M., Martins, Monica, Sharir, Tali, Halcox, Julian, Acampa, Wanda, Dey, Damini, Berman, Daniel, Slomka, Piotr

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Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging von Williams, Michelle Claire, Bednarski, Bryan P, Pieszko, Konrad, Miller, Robert J H, Kwiecinski, Jacek, Shanbhag, Aakash, Liang, Joanna X, Huang, Cathleen, Sharir, Tali, Dorbala, Sharmila, Di Carli, Marcelo F, Einstein, Andrew J, Sinusas, Albert J, Miller, Edward J, Bateman, Timothy M, Fish, Mathews B, Ruddy, Terrence D, Acampa, Wanda, Hauser, M Timothy, Kaufmann, Philipp A, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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The Updated REgistry of Fast Myocardial Perfusion Imaging With NExt Generation SPECT von Miller, Robert, Lemley, Mark, Shanbhag, Aakash Dhananjay, Bednarski, Bryan, Liang, Joanna X., Builoff, Valerie Michelle, Kavanagh, Paul, Sharir, Tali, Hauser, M. Timothy, Ruddy, Terrence D., Fish, Mathews, Einstein, Andrew J., Dorbala, Sharmila, Di Carli, Marcelo F., Feher, Attila, Miller, Edward J., Sinusas, Albert J., Halcox, Julian, Martins, Monica, Kaufmann, Philipp A., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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Machine learning to predict abnormal myocardial perfusion from pre-test features von Miller, Robert J H, Hauser, M Timothy, 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, Huang, Cathleen, Liang, Joanna X, Han, Donghee, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study von Miller, Robert J H, Bednarski, Bryan P, Pieszko, Konrad, Kwiecinski, Jacek, Williams, Michelle C, Shanbhag, Aakash, Liang, Joanna X, Huang, Cathleen, Sharir, Tali, Hauser, M Timothy, Dorbala, Sharmila, Di Carli, Marcelo F, Fish, Mathews B, Ruddy, Terrence D, Bateman, Timothy M, Einstein, Andrew J, Kaufmann, Philipp A, Miller, Edward J, Sinusas, Albert J, Acampa, Wanda, Han, Donghee, Dey, Damini, Berman, Daniel S, Slomka, Piotr J

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Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational studyResearch in context von Robert J.H. Miller, Bryan P. Bednarski, Konrad Pieszko, Jacek Kwiecinski, Michelle C. Williams, Aakash Shanbhag, Joanna X. Liang, Cathleen Huang, Tali Sharir, M. Timothy Hauser, Sharmila Dorbala, Marcelo F. Di Carli, Mathews B. Fish, Terrence D. Ruddy, Timothy M. Bateman, Andrew J. Einstein, Philipp A. Kaufmann, Edward J. Miller, Albert J. Sinusas, Wanda Acampa, Donghee Han, Damini Dey, Daniel S. Berman, Piotr J. Slomka

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Acute Pulmonary Embolism Leading to Cavitation and Large Pulmonary Abscess: A Rare Complication of Pulmonary Infarction von Koroscil, Matt, MD, Hauser, Timothy, MD

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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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An Infectious Case of a Solitary Pulmonary Nodule von Hauser, Timothy, MD, Nations, Joel, MD

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Self-Assessment Using a Validated Visual Analogue Scale Predicts Response to Submaximal Exercise Testing von Hauser, Timothy, MD, Holley, Aaron, MD

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Rapid generation of potent antibodies by autonomous hypermutation in yeast von Wellner, Alon, McMahon, Conor, Gilman, Morgan S. A., Clements, Jonathan R., Clark, Sarah, Nguyen, Kianna M., Ho, Ming H., Hu, Vincent J., Shin, Jung-Eun, Feldman, Jared, Hauser, Blake M., Caradonna, Timothy M., Wingler, Laura M., Schmidt, Aaron G., Marks, Debora S., Abraham, Jonathan, Kruse, Andrew C., Liu, Chang C.

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COVID-19-neutralizing antibodies predict disease severity and survival von Garcia-Beltran, Wilfredo F., Lam, Evan C., Astudillo, Michael G., Yang, Diane, Miller, Tyler E., Feldman, Jared, Hauser, Blake M., Caradonna, Timothy M., Clayton, Kiera L., Nitido, Adam D., Murali, Mandakolathur R., Alter, Galit, Charles, Richelle C., Dighe, Anand, Branda, John A., Lennerz, Jochen K., Lingwood, Daniel, Schmidt, Aaron G., Iafrate, A. John, Balazs, Alejandro B.

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SARS-CoV-2 Infection Depends on Cellular Heparan Sulfate and ACE2 von Clausen, Thomas Mandel, Sandoval, Daniel R., Spliid, Charlotte B., Pihl, Jessica, Perrett, Hailee R., Painter, Chelsea D., Narayanan, Anoop, Majowicz, Sydney A., Kwong, Elizabeth M., McVicar, Rachael N., Thacker, Bryan E., Glass, Charles A., Yang, Zhang, Torres, Jonathan L., Golden, Gregory J., Bartels, Phillip L., Porell, Ryan N., Garretson, Aaron F., Laubach, Logan, Feldman, Jared, Yin, Xin, Pu, Yuan, Hauser, Blake M., Caradonna, Timothy M., Kellman, Benjamin P., Martino, Cameron, Gordts, Philip L.S.M., Chanda, Sumit K., Schmidt, Aaron G., Godula, Kamil, Leibel, Sandra L., Jose, Joyce, Corbett, Kevin D., Ward, Andrew B., Carlin, Aaron F., Esko, Jeffrey D.

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CD209L/L-SIGN and CD209/DC-SIGN Act as Receptors for SARS-CoV‑2 von Amraei, Razie, Yin, Wenqing, Napoleon, Marc A, Suder, Ellen L, Berrigan, Jacob, Zhao, Qing, Olejnik, Judith, Chandler, Kevin Brown, Xia, Chaoshuang, Feldman, Jared, Hauser, Blake M, Caradonna, Timothy M, Schmidt, Aaron G, Gummuluru, Suryaram, Mühlberger, Elke, Chitalia, Vipul, Costello, Catherine E, Rahimi, Nader

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Loss of Bcl-6-Expressing T Follicular Helper Cells and Germinal Centers in COVID-19 von Kaneko, Naoki, Kuo, Hsiao-Hsuan, Boucau, Julie, Farmer, Jocelyn R., Allard-Chamard, Hugues, Mahajan, Vinay S., Piechocka-Trocha, Alicja, Lefteri, Kristina, Osborn, Matthew, Bals, Julia, Bartsch, Yannic C., Bonheur, Nathalie, Caradonna, Timothy M., Chevalier, Josh, Chowdhury, Fatema, Diefenbach, Thomas J., Einkauf, Kevin, Fallon, Jon, Feldman, Jared, Finn, Kelsey K., Garcia-Broncano, Pilar, Hartana, Ciputra Adijaya, Hauser, Blake M., Jiang, Chenyang, Kaplonek, Paulina, Karpell, Marshall, Koscher, Eric C., Lian, Xiaodong, Liu, Hang, Liu, Jinqing, Ly, Ngoc L., Michell, Ashlin R., Rassadkina, Yelizaveta, Seiger, Kyra, Sessa, Libera, Shin, Sally, Singh, Nishant, Sun, Weiwei, Sun, Xiaoming, Ticheli, Hannah J., Waring, Michael T., Zhu, Alex L., Alter, Galit, Li, Jonathan Z., Lingwood, Daniel, Schmidt, Aaron G., Lichterfeld, Mathias, Walker, Bruce D., Yu, Xu G., Padera, Robert F., Pillai, Shiv

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