Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Basel, Yacoub"'
Autor:
Nicola Fink, Basel Yacoub, U. Joseph Schoepf, Emese Zsarnoczay, Daniel Pinos, Milan Vecsey-Nagy, Saikiran Rapaka, Puneet Sharma, Jim O’Doherty, Jens Ricke, Akos Varga-Szemes, Tilman Emrich
Publikováno v:
Diagnostics, Vol 14, Iss 9, p 866 (2024)
This study evaluated a deep neural network (DNN) algorithm for automated aortic diameter quantification and aortic dissection detection in chest computed tomography (CT). A total of 100 patients (median age: 67.0 [interquartile range 55.3/73.0] years
Externí odkaz:
https://doaj.org/article/8350695c16084341bc70066df1bc8875
Autor:
Basel Yacoub, Robert E. Stroud, Davide Piccini, U. Joseph Schoepf, John Heerfordt, Jérôme Yerly, Lorenzo Di Sopra, Jonathan D. Rollins, D. Alan Turner, Tilman Emrich, Fei Xiong, Pal Suranyi, Akos Varga-Szemes
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 23, Iss 1, Pp 1-13 (2021)
Abstract Background Patients with thoracic aortic dilatation who undergo annual computed tomography angiography (CTA) are subject to repeated radiation and contrast exposure. The purpose of this study was to evaluate the feasibility of a non-contrast
Externí odkaz:
https://doaj.org/article/7ccb5d29aff940b099b414db3bc3008e
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0228326 (2020)
BACKGROUND:Marijuana is the most popular drug of abuse in the United States. The association between its use and coronary artery disease has not yet been fully elucidated. This study aims to determine the frequency of coronary artery disease among yo
Externí odkaz:
https://doaj.org/article/bc3320d515d0457892bb5943a652f026
Autor:
Basel, Yacoub, Akos, Varga-Szemes, U Joseph, Schoepf, Ismail M, Kabakus, Dhiraj, Baruah, Jeremy R, Burt, Gilberto J, Aquino, Allison K, Sullivan, Jim O', Doherty, Philipp, Hoelzer, Jonathan, Sperl, Tilman, Emrich
Publikováno v:
American Journal of Roentgenology. 219:743-751
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09a91fb5dd9d897db9b85a01fea7a32e
https://doi.org/10.2214/ajr.22.27598
https://doi.org/10.2214/ajr.22.27598
Autor:
Megan Mercer, Sean Brady, Jeremy R. Burt, Mehmet Akif Gulsun, Selcuk Akkaya, Ali M. Agha, Basel Yacoub, Dhiraj Baruah, Nathan Leaphart, Madison Kocher, Michael E. Field, Gilberto J. Aquino, Jeffrey Waltz, U. Joseph Schoepf, Jordan Chamberlin, Ismail Kabakus, Puneet Sharma, Matthew Fiegel, Tilman Emrich, Vincent Giovagnoli, Stefan Zimmerman, Andrew Dippre, Pooyan Sahbaee, Athira Jacob
Publikováno v:
Journal of Cardiovascular Computed Tomography. 16:245-253
Background: Non-contrast chest CTs (NCCT) are performed routinely for coronary artery calcium (CAC) scoring and lung cancer screening. However, a large amount of noncoronary and nonpulmonary data from these scans remain unassessed. We aimed to valida
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b7b472157865336bcf0098895715fb4
https://doi.org/10.1016/j.jcct.2021.12.005
https://doi.org/10.1016/j.jcct.2021.12.005
Autor:
Gilberto J. Aquino, Jordan Chamberlin, Basel Yacoub, Madison R. Kocher, Ismail Kabakus, Selcuk Akkaya, Megan Mercer, Jeffrey Waltz, Matthew Fiegel, Nathan Leaphart, Athira Jacob, Mehmet Akif Gulsun, James Gilkes, Joe Stephenson, Puneet Sharma, Pooyan Sahbaee, Joseph Schoepf, Stefan Zimmerman, Michael E. Field, Ali M. Agha, Jeremy R. Burt
Publikováno v:
European Radiology. 32:5256-5264
To evaluate the effectiveness of a novel artificial intelligence (AI) algorithm for fully automated measurement of left atrial (LA) volumes and function using cardiac CT in patients with atrial fibrillation.We included 79 patients (mean age 63 ± 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a584e89a5c7d5b6220c1acbc8acf9134
https://doi.org/10.1007/s00330-022-08657-y
https://doi.org/10.1007/s00330-022-08657-y
Autor:
Basel Yacoub, Natalie Stringer, Madalyn Snoddy, Danielle M. Dargis, Ismail Kabakus, U. Joseph Schoepf, Gilberto J. Aquino, Vincenzo Vingiani, Jeremy R. Burt, Philipp Hoelzer, Andres F. Abadia, Pooyan Sahbaee, Jonathan I. Sperl, Madison Kocher, Megan Mercer
Publikováno v:
Journal of Thoracic Imaging. 37:154-161
OBJECTIVES The aim of the study is to investigate the performance of artificial intelligence (AI) convolutional neural networks (CNN) in detecting lung nodules on chest computed tomography of patients with complex lung disease, and demonstrate its no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ce6c53657d4bbc14208dbc8bc4744cf
https://doi.org/10.1097/rti.0000000000000613
https://doi.org/10.1097/rti.0000000000000613
Autor:
Ioannis Koktzoglou, Tilman Emrich, Robert R. Edelman, Pascale Aouad, Thomas M. Todoran, U. Joseph Schoepf, Basel Yacoub, Akos Varga-Szemes
Publikováno v:
Magnetic Resonance Materials in Physics, Biology and Medicine. 34:649-658
To evaluate the potential clinical benefit of the superior spatial resolution of 3D prototype thin-slab stack-of-stars (tsSOS) quiescent-interval slice-selective (QISS) MRA over standard 2D-QISS MRA for the detection peripheral artery disease (PAD),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b75b09bad19f3a0cd3e94552ffa0cd36
https://doi.org/10.1007/s10334-021-00927-y
https://doi.org/10.1007/s10334-021-00927-y
Autor:
Fei Xiong, Moritz C. Halfmann, U. Joseph Schoepf, Michaela Schmidt, Basel Yacoub, Sebastian Altmann, Christoph Forman, Akos Varga-Szemes, Christoph Dueber, Philip Wenzel, Tilman Emrich, Ibukun Abidoye, Karl-Friedrich Kreitner
Publikováno v:
European Radiology
ObjectivesTo compare volumetric and functional parameters of the atria derived from highly accelerated compressed sensing (CS)–based cine sequences in comparison to conventional (Conv) cine imaging.MethodsCS and Conv cine sequences were acquired in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd633c833b9584da0843b2ea19f41b83
http://europepmc.org/articles/PMC8452582
http://europepmc.org/articles/PMC8452582
Autor:
Gilberto J. Aquino, Josua A. Decker, U. Joseph Schoepf, Landin Carson, Namrata Paladugu, Basel Yacoub, Verena Brandt, Anna Lena Emrich, Florian Schwarz, Jeremy R. Burt, Richard Bayer, Akos Varga-Szemes, Tilman Emrich
Publikováno v:
Radiol Cardiothorac Imaging
PURPOSE: To evaluate the value of using left ventricular (LV) long-axis shortening (LAS) derived from coronary CT angiography (CCTA) to predict mortality in patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc65bd26edaa92d7ac511deff2abff87
https://doi.org/10.1148/ryct.210205
https://doi.org/10.1148/ryct.210205