Predictive Value of Computed Tomography in Acute Pulmonary Embolism: Systematic Review and Meta-analysis von Meinel, Felix G., MD, Nance, John W., MD, Schoepf, U. Joseph, MD, Hoffmann, Verena S., PhD, Thierfelder, Kolja M., MD, Costello, Philip, MD, Goldhaber, Samuel Z., MD, Bamberg, Fabian, MD, MPH

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Review of Clinical Applications for Virtual Monoenergetic Dual-Energy CT von Albrecht, Moritz H, Vogl, Thomas J, Martin, Simon S, Nance, John W, Duguay, Taylor M, Wichmann, Julian L, De Cecco, Carlo N, Varga-Szemes, Akos, van Assen, Marly, Tesche, Christian, Schoepf, U Joseph

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A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images von Shi, Zhao, Miao, Chongchang, Schoepf, U. Joseph, Savage, Rock H., Dargis, Danielle M., Pan, Chengwei, Chai, Xue, Li, Xiu Li, Xia, Shuang, Zhang, Xin, Gu, Yan, Zhang, Yonggang, Hu, Bin, Xu, Wenda, Zhou, Changsheng, Luo, Song, Wang, Hao, Mao, Li, Liang, Kongming, Wen, Lili, Zhou, Longjiang, Yu, Yizhou, Lu, Guang Ming, Zhang, Long Jiang

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State of the Art: Iterative CT Reconstruction Techniques von Geyer, Lucas L, Schoepf, U Joseph, Meinel, Felix G, Nance, Jr, John W, Bastarrika, Gorka, Leipsic, Jonathon A, Paul, Narinder S, Rengo, Marco, Laghi, Andrea, De Cecco, Carlo N

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Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging von Al'Aref, Subhi J, Anchouche, Khalil, Singh, Gurpreet, Slomka, Piotr J, Kolli, Kranthi K, Kumar, Amit, Pandey, Mohit, Maliakal, Gabriel, van Rosendael, Alexander R, Beecy, Ashley N, Berman, Daniel S, Leipsic, Jonathan, Nieman, Koen, Andreini, Daniele, Pontone, Gianluca, Schoepf, U Joseph, Shaw, Leslee J, Chang, Hyuk-Jae, Narula, Jagat, Bax, Jeroen J, Guan, Yuanfang, Min, James K

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Cinematic Rendering in CT: A Novel, Lifelike 3D Visualization Technique von Eid, Marwen, De Cecco, Carlo N, Nance, Jr, John W, Caruso, Damiano, Albrecht, Moritz H, Spandorfer, Adam J, De Santis, Domenico, Varga-Szemes, Akos, Schoepf, U Joseph

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Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling von Tesche, Christian, De Cecco, Carlo N, Baumann, Stefan, Renker, Matthias, McLaurin, Tindal W, Duguay, Taylor M, Bayer, 2nd, Richard R, Steinberg, Daniel H, Grant, Katharine L, Canstein, Christian, Schwemmer, Chris, Schoebinger, Max, Itu, Lucian M, Rapaka, Saikiran, Sharma, Puneet, Schoepf, U Joseph

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CT angiography after 20 years: a transformation in cardiovascular disease characterization continues to advance von Rubin, Geoffrey D, Leipsic, Jonathon, Joseph Schoepf, U, Fleischmann, Dominik, Napel, Sandy

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Slow and Steady Wins the Race: Lower Heart Rates Improve Diagnostic Quality for Coronary CT Angiography von Schoepf, U. Joseph, Decker, Josua

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Coronary CT Angiography-derived Fractional Flow Reserve von Tesche, Christian, De Cecco, Carlo N, Albrecht, Moritz H, Duguay, Taylor M, Bayer, 2nd, Richard R, Litwin, Sheldon E, Steinberg, Daniel H, Schoepf, U Joseph

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Comparison of Diagnostic Value of a Novel Noninvasive Coronary Computed Tomography Angiography Method Versus Standard Coronary Angiography for Assessing Fractional Flow Reserve von Renker, Matthias, MD, Schoepf, U. Joseph, MD, Wang, Rui, MD, Meinel, Felix G., MD, Rier, Jeremy D., DO, Bayer, Richard R., MD, Möllmann, Helge, MD, Hamm, Christian W., MD, Steinberg, Daniel H., MD, Baumann, Stefan, MD

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Closing in on the K edge: coronary CT angiography at 100, 80, and 70 kV-initial comparison of a second- versus a third-generation dual-source CT system von Meyer, Mathias, Haubenreisser, Holger, Schoepf, U Joseph, Vliegenthart, Rozemarijn, Leidecker, Christianne, Allmendinger, Thomas, Lehmann, Ralf, Sudarski, Sonja, Borggrefe, Martin, Schoenberg, Stefan O, Henzler, Thomas

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Diagnostic accuracy of non-contrast quiescent-interval slice-selective (QISS) MRA combined with MRI-based vascular calcification visualization for the assessment of arterial stenos... von Varga-Szemes, Akos, Penmetsa, Megha, Emrich, Tilman, Todoran, Thomas M., Suranyi, Pal, Fuller, Stephen R., Edelman, Robert R., Koktzoglou, Ioannis, Schoepf, U. Joseph

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On-Site Computed Tomography–Derived Fractional Flow Reserve to Guide Management of Patients With Stable Coronary Artery Disease: The TARGET Randomized Trial von Yang, Junjie, Shan, Dongkai, Wang, Xi, Sun, Xiaoqing, Shao, Meihua, Wang, Kan, Pan, Yueying, Wang, Zhiqiang, Schoepf, U. Joseph, Savage, Rock H., Zhang, Mei, Dong, Mei, Xu, Lei, Zhou, Yujie, Ma, Xiang, Hu, Xinyang, Xia, Liming, Zeng, Hesong, Liu, Zinuan, Chen, Yundai

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Radiomics: The Next Frontier of Cardiac Computed Tomography von Xu, Pengpeng, Xue, Yi, Schoepf, U. Joseph, Varga-Szemes, Akos, Griffith, Joseph, Yacoub, Basel, Zhou, Fan, Zhou, Changsheng, Yang, Yuting, Xing, Wei, Zhang, Longjiang

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In-patient care trends in peripheral artery disease in the German healthcare system over the past decade von Decker, Josua A., Varga-Szemes, Akos, Schoepf, U. Joseph, Emrich, Tilman, Schwarz, Florian, Kroencke, Thomas J., Scheurig-Muenkler, Christian

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One-stop patient-specific myocardial blood flow quantification technique based on allometric scaling law von Li, Junhuan, Wu, Dan, Lv, Lijuan, Dong, Mei, Han, Yeming, Zhang, Mei, Savage, Rock H., Zhang, Hongkai, Bai, Junjie, Cao, Kunlin, Yin, Youbing, Song, Qi, Zhang, Yun, Li, Yuwei, Zhang, Pengfei, Joseph Schoepf, U.

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Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value von Chamberlin, Jordan, Kocher, Madison R., Waltz, Jeffrey, Snoddy, Madalyn, Stringer, Natalie F. C., Stephenson, Joseph, Sahbaee, Pooyan, Sharma, Puneet, Rapaka, Saikiran, Schoepf, U. Joseph, Abadia, Andres F., Sperl, Jonathan, Hoelzer, Phillip, Mercer, Megan, Somayaji, Nayana, Aquino, Gilberto, Burt, Jeremy R.

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Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study von Yacoub, Basel, Varga-Szemes, Akos, Schoepf, U Joseph, Kabakus, Ismail M, Baruah, Dhiraj, Burt, Jeremy R, Aquino, Gilberto J, Sullivan, Allison K, Doherty, Jim O', Hoelzer, Philipp, Sperl, Jonathan, Emrich, Tilman

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Quantitative analysis of dynamic computed tomography angiography for the detection of endoleaks after abdominal aorta aneurysm endovascular repair: A feasibility study von Apfaltrer, Georg, Lavra, Francesco, Schoepf, U. Joseph, Scarabello, Marco, Yamada, Ricardo, van Assen, Marly, Varga-Szemes, Akos, Jacobs, Brian E., Bauer, Maximilian J., Greenberg, William T., Guimaraes, Marcelo, Saba, Luca, De Cecco, Carlo N.

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