Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Christian Tesche

Showing results (61-70 of 91) with videos related to

Pageof 10
Sort By:
European Journal of Radiology|June 21, 2017
CT coronary calcium scoring with tin filtration using iterative beam-hardening calcium correction reconstructionChristian Tesche, Carlo N De Cecco, U Joseph Schoepf, et al.
The American Journal of Cardiology|August 29, 2017
Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve Based on Machine Learning for Risk Stratification of Non-Culprit Coronary Narrowings in Patients with Acute Coronary SyndromeTaylor M Duguay, Christian Tesche, Rozemarijn Vliegenthart, et al.
European Radiology|May 29, 2020
Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery diseaseHong Yan Qiao, Chun Xiang Tang, U Joseph Schoepf, et al.
Circulation. Cardiovascular Imaging|June 20, 2018
Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE ConsortiumAdriaan Coenen, Young-Hak Kim, Mariusz Kruk, et al.
European Journal of Radiology|March 25, 2018
Beam-hardening in 70-kV Coronary CT angiography: Artifact reduction using an advanced post-processing algorithmMoritz H Albrecht, Matthew W Bickford, U Joseph Schoepf, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Value of Machine Learning-based Coronary CT Fractional Flow Reserve Applied to Triple-Rule-Out CT Angiography in Acute Chest PainSimon S Martin, Domenico Mastrodicasa, Marly van Assen, et al.
Clinical Research in Cardiology : Official Journal of the German Cardiac Society|October 31, 2019
Correlation of machine learning computed tomography-based fractional flow reserve with instantaneous wave free ratio to detect hemodynamically significant coronary stenosisStefan Baumann, Markus Hirt, U Joseph Schoepf, et al.
Radiology|April 11, 2018
Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics ModelingChristian Tesche, Carlo N De Cecco, Stefan Baumann, et al.
European Journal of Radiology|July 19, 2018
Dual-energy CT of the heart current and future statusMoritz H Albrecht, Carlo N De Cecco, U Joseph Schoepf, et al.
European Radiology|September 10, 2017
Coronary artery assessment using self-navigated free-breathing radial whole-heart magnetic resonance angiography in patients with congenital heart diseaseMoritz H Albrecht, Akos Varga-Szemes, U Joseph Schoepf, et al.
Pageof 10

Showing results (61-70 of 91) with videos related to

Sort By:
Pageof 10
European Journal of Radiology|June 21, 2017
CT coronary calcium scoring with tin filtration using iterative beam-hardening calcium correction reconstructionChristian Tesche, Carlo N De Cecco, U Joseph Schoepf, et al.
The American Journal of Cardiology|August 29, 2017
Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve Based on Machine Learning for Risk Stratification of Non-Culprit Coronary Narrowings in Patients with Acute Coronary SyndromeTaylor M Duguay, Christian Tesche, Rozemarijn Vliegenthart, et al.
European Radiology|May 29, 2020
Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery diseaseHong Yan Qiao, Chun Xiang Tang, U Joseph Schoepf, et al.
Circulation. Cardiovascular Imaging|June 20, 2018
Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE ConsortiumAdriaan Coenen, Young-Hak Kim, Mariusz Kruk, et al.
European Journal of Radiology|March 25, 2018
Beam-hardening in 70-kV Coronary CT angiography: Artifact reduction using an advanced post-processing algorithmMoritz H Albrecht, Matthew W Bickford, U Joseph Schoepf, et al.
Radiology. Cardiothoracic Imaging|March 29, 2021
Value of Machine Learning-based Coronary CT Fractional Flow Reserve Applied to Triple-Rule-Out CT Angiography in Acute Chest PainSimon S Martin, Domenico Mastrodicasa, Marly van Assen, et al.
Clinical Research in Cardiology : Official Journal of the German Cardiac Society|October 31, 2019
Correlation of machine learning computed tomography-based fractional flow reserve with instantaneous wave free ratio to detect hemodynamically significant coronary stenosisStefan Baumann, Markus Hirt, U Joseph Schoepf, et al.
Radiology|April 11, 2018
Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics ModelingChristian Tesche, Carlo N De Cecco, Stefan Baumann, et al.
European Journal of Radiology|July 19, 2018
Dual-energy CT of the heart current and future statusMoritz H Albrecht, Carlo N De Cecco, U Joseph Schoepf, et al.
European Radiology|September 10, 2017
Coronary artery assessment using self-navigated free-breathing radial whole-heart magnetic resonance angiography in patients with congenital heart diseaseMoritz H Albrecht, Akos Varga-Szemes, U Joseph Schoepf, et al.
Pageof 10