A Critical Comparison of Robotic Versus Conventional Laparoscopic Splenectomies von Bodner, Johannes, Kafka‐Ritsch, Reinhold, Lucciarini, Paolo, III, John H. Fish, Schmid, Thomas

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Hydraulic turbine and turbine control models for system dynamic studies von Working Group Prime Mover and Energy Supply

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Goldenhar's syndrome : Congenital hearing deficit of conductive or sensorineural origin? Temporal bone histopathologic study von SCHOLTZ, Arne W, FISH, John H, KAMMEN-JOLLY, Keren, ICHIKI, Hiroto, HUSSL, Burkhard, KRECZY, Alfons, SCHROTT-FISCHER, Anneliese

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Cerebro-oculo-facio-skeletal syndrome as a human example for accelerated cochlear nerve degeneration von FISH, John H, SCHOLTZ, Arne W, HUSSL, Burkhard, KRECZY, Alfons, SCHROTT-FISCHER, Anneliese

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Immunohistochemical and morphological studies on the human fetal cochlea: a comparative view on methods von Fish III, J.H., Scholtz, A.W., Hussl, B., Kammen-Jolly, K., Ichiki, H., Kreczy, A., Schrott-Fischer, A.

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Saturation Functions for Synchronous Generators from Finite Elements von Minnich, S.H., Schulz, R.P., Baker, D.H., Sharma, D.K., Farmer, R.G., Fish, J.H.

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Rectus sheath hematoma: ultrasonographic diagnosis von Kaftori, JK, Rosenberger, A, Pollack, S, Fish, JH

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Community Organization and the Crisis of Public Authority von Fish, John H.

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Incidence and Preventability of Adverse Drug Events Among Older Persons in the Ambulatory Setting von Gurwitz, Jerry H, Field, Terry S, Harrold, Leslie R, Rothschild, Jeffrey, Debellis, Kristin, Seger, Andrew C, Cadoret, Cynthia, Fish, Leslie S, Garber, Lawrence, Kelleher, Michael, Bates, David W

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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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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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Risk Factors for Adverse Drug Events Among Older Adults in the Ambulatory Setting von Field, Terry S., Gurwitz, Jerry H., Harrold, Leslie R., Rothschild, Jeffrey, DeBellis, Kristin R., Seger, Andrew C., Auger, Jill C., Garber, Leslie A., Cadoret, Cynthia, Fish, Leslie S., Garber, Lawrence D., Kelleher, Michael, Bates, David W.

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Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry von Rios, Richard, Miller, Robert J.H., Manral, Nipun, 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, Van Kriekinge, Serge D., Kavanagh, Paul B., Parekh, Tejas, Liang, Joanna X., Dey, Damini, Berman, Daniel S., Slomka, Piotr J.

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Diversity of ganglion cells in the mouse retina: Unsupervised morphological classification and its limits von Kong, Jee-Hyun, Fish, Daniel R., Rockhill, Rebecca L., Masland, Richard H.

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Quantitation of Poststress Change in Ventricular Morphology Improves Risk Stratification von Miller, Robert J H, Sharir, Tali, Otaki, Yuka, Gransar, Heidi, Liang, Joanna X, 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, 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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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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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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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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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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