Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Pooyan Sahbaee"'
Autor:
Leening P. Liu, Nadav Shapira, Pooyan Sahbaee, Grace J. Gang, Friedrich D. Knollman, Marcus Y. Chen, Harold I. Litt, Peter B. Noël
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract We evaluate stability of spectral results at different heart rates, acquisition modes, and cardiac phases in first-generation clinical dual-source photon-counting CT (PCCT). A cardiac motion simulator with a coronary stenosis mimicking a 50%
Externí odkaz:
https://doaj.org/article/d5a4a2c7a7de4543be596836f965cf55
Autor:
Jordan Chamberlin, Madison R. Kocher, Jeffrey Waltz, Madalyn Snoddy, Natalie F. C. Stringer, Joseph Stephenson, Pooyan Sahbaee, Puneet Sharma, Saikiran Rapaka, U. Joseph Schoepf, Andres F. Abadia, Jonathan Sperl, Phillip Hoelzer, Megan Mercer, Nayana Somayaji, Gilberto Aquino, Jeremy R. Burt
Publikováno v:
BMC Medicine, Vol 19, Iss 1, Pp 1-14 (2021)
Abstract Background Artificial intelligence (AI) in diagnostic radiology is undergoing rapid development. Its potential utility to improve diagnostic performance for cardiopulmonary events is widely recognized, but the accuracy and precision have yet
Externí odkaz:
https://doaj.org/article/a1c542a73b0849169c6de25f8a74f99f
Autor:
Madison R. Kocher, Jordan Chamberlin, Jeffrey Waltz, Madalyn Snoddy, Natalie Stringer, Joseph Stephenson, Jacob Kahn, Megan Mercer, Dhiraj Baruah, Gilberto Aquino, Ismail Kabakus, Philipp Hoelzer, Pooyan Sahbaee, U. Joseph Schoepf, Jeremy R. Burt
Publikováno v:
Heliyon, Vol 8, Iss 2, Pp e08962- (2022)
Background: Determination of the total number and size of all pulmonary metastases on chest CT is time-consuming and as such has been understudied as an independent metric for disease assessment. A novel artificial intelligence (AI) model may allow f
Externí odkaz:
https://doaj.org/article/a195096dc27349b2abfa79d14a98de9a
Autor:
Adam Spandorfer, Cody Branch, Puneet Sharma, Pooyan Sahbaee, U. Joseph Schoepf, James G. Ravenel, John W. Nance
Publikováno v:
European Radiology Experimental, Vol 3, Iss 1, Pp 1-8 (2019)
Abstract Background Structured reports have been shown to improve communication between radiologists and providers. However, some radiologists are concerned about resultant decreased workflow efficiency. We tested a machine learning-based algorithm d
Externí odkaz:
https://doaj.org/article/1691d75d7a0141498e550e9227010b7c
Autor:
Lidia Al-Zogbi, Vivek Singh, Brian Teixeira, Avani Ahuja, Pooyan Sahbaee Bagherzadeh, Ankur Kapoor, Hamed Saeidi, Thorsten Fleiter, Axel Krieger
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
The COVID-19 pandemic has emerged as a serious global health crisis, with the predominant morbidity and mortality linked to pulmonary involvement. Point-of-Care ultrasound (POCUS) scanning, becoming one of the primary determinative methods for its di
Externí odkaz:
https://doaj.org/article/49798c321b9140efbd14733fe8586030
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
Autor:
Andres F. Abadia, Gilberto J. Aquino, U. Joseph Schoepf, Michael Wels, Bernhard Schmidt, Pooyan Sahbaee, Danielle M. Dargis, Jeremy R. Burt, Akos Varga-Szemes, Tilman Emrich
Publikováno v:
Journal of Thoracic Imaging. 37:307-314
We aimed to validate and test a prototype algorithm for automated dual-energy computed tomography (DECT)-based myocardial extracellular volume (ECV) assessment in patients with various cardiomyopathies.This retrospective study included healthy subjec
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
Autor:
Rizza Pua, Leening P. Liu, Michael Dieckmeyer, Nadav Shapira, Pooyan Sahbaee, Grace J. Gang, Harold I. Litt, Peter B. Noël
ObjectiveEvaluation of iodine quantification accuracy with varying iterative reconstruction level, patient habitus, and acquisition mode on a first-generation dual-source photon-counting computed tomography (PCCT) system.MethodsA multi-energy CT phan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a087edb5ffa8c05eafb798e216c873c2
https://doi.org/10.1101/2022.12.16.22283594
https://doi.org/10.1101/2022.12.16.22283594
Autor:
Leening P. Liu, Nadav Shapira, Pooyan Sahbaee, Grace J. Gang, Friedrich D. Knollman, Marcus Y. Chen, Harold I. Litt, Peter B. Noël
ObjectiveEvaluate stability of spectral results at different heart rates, acquisition modes, and cardiac phases in first-generation clinical dual-source photon-counting CT (PCCT).Materials and MethodsA cardiac motion simulator with a coronary stenosi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0574116255666d664124cce6376f3dc7
https://doi.org/10.1101/2022.12.07.22283222
https://doi.org/10.1101/2022.12.07.22283222