Herpesvirus type 2 in biopsy of a cow with possible pseudo-lumpy-skin disease von Brenner, J., Yadin, H., Perl, S., Stram, Y., Sharir, B.

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Cystic dilation of the teat sinuses in doe goats von Yeruham, I, Sharir, B, Friedman, S, Perl, S

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Bovine ephemeral fever in beef cattle herds in the Jordan Valley, Israel von Yeruham, I.

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Combined simulation and ex vivo assessment of free-edge length in bicuspidization repair for congenital aortic valve diseaseCentral MessagePerspective von Perry S. Choi, MD, Amit Sharir, BS, Yoshikazu Ono, MD, Masafumi Shibata, MD, Alexander D. Kaiser, PhD, Yellappa Palagani, PhD, Alison L. Marsden, PhD, Michael R. Ma, MD

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Energy balance of grazing beef cattle in Mediterranean pasture, the effects of stocking rate and season: 2. Energy expenditure as estimated from heart rate and oxygen consumption,... von Brosh, A., Aharoni, Y., Shargal, E., Sharir, B., Gutman, M., Choshniak, I.

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Energy balance of grazing beef cattle in Mediterranean pasture, the effects of stocking rate and season von Brosh, A., Aharoni, Y., Shargal, E., Sharir, B., Gutman, M., Choshniak, I.

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Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning von Betancur, Julian, Otaki, Yuka, Motwani, Manish, Fish, Mathews B., Lemley, Mark, Dey, Damini, Gransar, Heidi, Tamarappoo, Balaji, Germano, Guido, Sharir, Tali, Berman, Daniel S., Slomka, Piotr J.

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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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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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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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Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT) von Slomka, Piotr J., Betancur, Julian, Liang, Joanna X., Otaki, Yuka, Hu, Lien-Hsin, Sharir, Tali, Dorbala, Sharmila, Di Carli, Marcelo, Fish, Mathews B., Ruddy, Terrence D., Bateman, Timothy M., Einstein, Andrew J., Kaufmann, Philipp A., Miller, Edward J., Sinusas, Albert J., Azadani, Peyman N., Gransar, Heidi, Tamarappoo, Balaji K., Dey, Damini, Berman, Daniel S., Germano, Guido

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Muscle Contraction Is Necessary to Maintain Joint Progenitor Cell Fate von Kahn, Joy, Shwartz, Yulia, Blitz, Einat, Krief, Sharon, Sharir, Amnon, Breitel, Dario. A., Rattenbach, Revital, Relaix, Frederic, Maire, Pascal, Rountree, Ryan B., Kingsley, David M., Zelzer, Elazar

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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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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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Isl1 mediates mesenchymal expansion in the developing external genitalia via regulation of Bmp4, Fgf10 and Wnt5a von Ching, Saunders T, Infante, Carlos R, Du, Wen, Sharir, Amnon, Park, Sungdae, Menke, Douglas B, Klein, Ophir D

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Early perturbation of Wnt signaling reveals patterning and invagination-evagination control points in molar tooth development von Kim, Rebecca, Yu, Tingsheng, Li, Jingjing, Prochazka, Jan, Sharir, Amnon, Green, Jeremy B A, Klein, Ophir D

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Survival After Invasive or Conservative Management of Stable Coronary Disease von Hochman, Judith S., Anthopolos, Rebecca, Reynolds, Harmony R., Bangalore, Sripal, Xu, Yifan, O’Brien, Sean M., Mavromichalis, Stavroula, Chang, Michelle, Contreras, Aira, Rosenberg, Yves, Kirby, Ruth, Bhargava, Balram, Senior, Roxy, Banfield, Ann, Goodman, Shaun G., Lopes, Renato D., Pracoń, Radosław, López-Sendón, José, Maggioni, Aldo Pietro, Newman, Jonathan D., Berger, Jeffrey S., Sidhu, Mandeep S., White, Harvey D., Troxel, Andrea B., Harrington, Robert A., Boden, William E., Stone, Gregg W., Mark, Daniel B., Spertus, John A., Maron, David 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 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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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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