Search Results - "Schoepf, Joseph U"

Predictive Value of Computed Tomography in Acute Pulmonary Embolism: Systematic Review and Meta-analysis by 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

“…Abstract Background Many computed tomography (CT) parameters have been proposed as potential predictors of outcome in acute pulmonary embolism. We sought to…”
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Review of Clinical Applications for Virtual Monoenergetic Dual-Energy CT by 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

“…In this article, the authors discuss the technical background and summarize the current body of literature regarding virtual monoenergetic (VM) images derived…”
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A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images by 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

“…Intracranial aneurysm is a common life-threatening disease. Computed tomography angiography is recommended as the standard diagnosis tool; yet, interpretation…”
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State of the Art: Iterative CT Reconstruction Techniques by 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

“…Owing to recent advances in computing power, iterative reconstruction (IR) algorithms have become a clinically viable option in computed tomographic (CT)…”
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Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging by 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

“…Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML), which is a subset of AI wherein machines autonomously acquire…”
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Cinematic Rendering in CT: A Novel, Lifelike 3D Visualization Technique by 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

“…The purpose of this article is to present an overview of cinematic rendering, illustrating its potential advantages and applications. Volume-rendered…”
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Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling by 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

“…Purpose To compare two technical approaches for determination of coronary computed tomography (CT) angiography-derived fractional flow reserve (FFR)-FFR…”
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Slow and Steady Wins the Race: Lower Heart Rates Improve Diagnostic Quality for Coronary CT Angiography by Schoepf, U. Joseph, Decker, Josua

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Coronary CT Angiography-derived Fractional Flow Reserve by 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

“…Invasive coronary angiography (ICA) with measurement of fractional flow reserve (FFR) by means of a pressure wire technique is the established reference…”
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CT angiography after 20 years: a transformation in cardiovascular disease characterization continues to advance by Rubin, Geoffrey D, Leipsic, Jonathon, Joseph Schoepf, U, Fleischmann, Dominik, Napel, Sandy

“…Through a marriage of spiral computed tomography (CT) and graphical volumetric image processing, CT angiography was born 20 years ago. Fueled by a series of…”
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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 by Meyer, Mathias, Haubenreisser, Holger, Schoepf, U Joseph, Vliegenthart, Rozemarijn, Leidecker, Christianne, Allmendinger, Thomas, Lehmann, Ralf, Sudarski, Sonja, Borggrefe, Martin, Schoenberg, Stefan O, Henzler, Thomas

“…To prospectively evaluate radiation and contrast medium requirements for performing high-pitch coronary computed tomographic (CT) angiography at 70 kV using a…”
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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 by 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

“…Noninvasive fractional flow reserve (FFR) from coronary computed tomography angiography (cCTA) correlates well with invasive FFR and substantially improves the…”
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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 stenosis in patients with lower extremity peripheral artery disease by Varga-Szemes, Akos, Penmetsa, Megha, Emrich, Tilman, Todoran, Thomas M., Suranyi, Pal, Fuller, Stephen R., Edelman, Robert R., Koktzoglou, Ioannis, Schoepf, U. Joseph

“…Objectives The proton density–weighted, in-phase stack-of-stars (PDIP-SOS) MRI technique provides calcification visualization in peripheral artery disease…”
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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 by 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

“…Computed tomography-derived fractional flow reserve (CT-FFR) using on-site machine learning enables identification of both the presence of coronary artery…”
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Radiomics: The Next Frontier of Cardiac Computed Tomography by Xu, Pengpeng, Xue, Yi, Schoepf, U. Joseph, Varga-Szemes, Akos, Griffith, Joseph, Yacoub, Basel, Zhou, Fan, Zhou, Changsheng, Yang, Yuting, Xing, Wei, Zhang, Longjiang

“…Radiomics uses advanced image analysis to extract massive amounts of quantitative information from digital images, which is not otherwise distinguishable to…”
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In-patient care trends in peripheral artery disease in the German healthcare system over the past decade by Decker, Josua A., Varga-Szemes, Akos, Schoepf, U. Joseph, Emrich, Tilman, Schwarz, Florian, Kroencke, Thomas J., Scheurig-Muenkler, Christian

“…Objectives To analyze trends of in-hospital treatment of patients admitted due to peripheral artery disease (PAD) from 2009 to 2018 with special focus on…”
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One-stop patient-specific myocardial blood flow quantification technique based on allometric scaling law by 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.

“…Establishing a patient-specific and non-invasive technique to derive blood flow as well as coronary structural information from one single cardiac CT imaging…”
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Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study by 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

“…Deep learning-based convolutional neural networks have enabled major advances in development of artificial intelligence (AI) software applications. Modern AI…”
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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 by 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

“…Artificial intelligence (AI) in diagnostic radiology is undergoing rapid development. Its potential utility to improve diagnostic performance for…”
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Serial coronary CT angiography–derived fractional flow reserve and plaque progression can predict long-term outcomes of coronary artery disease by Yang, Liu, Xu, Peng Peng, Schoepf, U. Joseph, Tesche, Christian, Pillai, Balakrishnan, Savage, Rock H., Tang, Chun Xiang, Zhou, Fan, Wei, Hao Dong, Luo, Zhong Qiang, Wang, Qing Gen, Zhou, Chang Sheng, Lu, Meng Jie, Lu, Guang Ming, Zhang, Long Jiang

“…Objective To investigate the utility of coronary CT angiography–derived fractional flow reserve (FFR CT ) and plaque progression in patients undergoing serial…”
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