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

Anders Persson

Showing results (141-150 of 158) with videos related to

Pageof 16
Sort By:
European Journal of Radiology|May 13, 2026
Improved coronary CT angiography image quality using photon-counting detector CT in SCAPIS reexamination: scan protocol and comparative analysisMats Lidén, Gusten Nyberg, Marie-Louise Aurumskjöld, et al.
The American Journal of Cardiology|December 17, 2018
Comparison of the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve in Patients With Versus Without Diabetes Mellitus (from the MACHINE Consortium)Fay M A Nous, Adriaan Coenen, Eric Boersma, 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.
Insights Into Imaging|August 31, 2019
Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR)Nandita M deSouza, Eric Achten, Angel Alberich-Bayarri, et al.
JACC. Cardiovascular Imaging|August 19, 2019
Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE RegistryChristian Tesche, Katharina Otani, Carlo N De Cecco, et al.
European Journal of Radiology|September 16, 2019
Gender differences in the diagnostic performance of machine learning coronary CT angiography-derived fractional flow reserve -results from the MACHINE registryStefan Baumann, Matthias Renker, U Joseph Schoepf, et al.
European Journal of Preventive Cardiology|April 23, 2021
Systematic Coronary Risk Evaluation estimated risk and prevalent subclinical atherosclerosis in coronary and carotid arteries: A population-based cohort analysis from the Swedish Cardiopulmonary Bioimage StudyCarl J Östgren, Stefan Söderberg, Karin Festin, et al.
BMJ Open|November 23, 2023
Accelerometer derived physical activity and subclinical coronary and carotid atherosclerosis: cross-sectional analyses in 22 703 middle-aged men and women in the SCAPIS studyElin Ekblom-Bak, Mats Börjesson, Örjan Ekblom, et al.
Atherosclerosis|November 10, 2022
Obesity is associated with coronary artery stenosis independently of metabolic risk factors: The population-based SCAPIS studyLars Lind, Hanna Markstad, Håkan Ahlström, et al.
Cardiovascular Diabetology|September 27, 2023
Prevalence of atherosclerosis in individuals with prediabetes and diabetes compared to normoglycaemic individuals-a Swedish population-based studyCarl Johan Östgren, Julia Otten, Karin Festin, et al.
Pageof 16

Showing results (141-150 of 158) with videos related to

Sort By:
Pageof 16
European Journal of Radiology|May 13, 2026
Improved coronary CT angiography image quality using photon-counting detector CT in SCAPIS reexamination: scan protocol and comparative analysisMats Lidén, Gusten Nyberg, Marie-Louise Aurumskjöld, et al.
The American Journal of Cardiology|December 17, 2018
Comparison of the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve in Patients With Versus Without Diabetes Mellitus (from the MACHINE Consortium)Fay M A Nous, Adriaan Coenen, Eric Boersma, 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.
Insights Into Imaging|August 31, 2019
Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR)Nandita M deSouza, Eric Achten, Angel Alberich-Bayarri, et al.
JACC. Cardiovascular Imaging|August 19, 2019
Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE RegistryChristian Tesche, Katharina Otani, Carlo N De Cecco, et al.
European Journal of Radiology|September 16, 2019
Gender differences in the diagnostic performance of machine learning coronary CT angiography-derived fractional flow reserve -results from the MACHINE registryStefan Baumann, Matthias Renker, U Joseph Schoepf, et al.
European Journal of Preventive Cardiology|April 23, 2021
Systematic Coronary Risk Evaluation estimated risk and prevalent subclinical atherosclerosis in coronary and carotid arteries: A population-based cohort analysis from the Swedish Cardiopulmonary Bioimage StudyCarl J Östgren, Stefan Söderberg, Karin Festin, et al.
BMJ Open|November 23, 2023
Accelerometer derived physical activity and subclinical coronary and carotid atherosclerosis: cross-sectional analyses in 22 703 middle-aged men and women in the SCAPIS studyElin Ekblom-Bak, Mats Börjesson, Örjan Ekblom, et al.
Atherosclerosis|November 10, 2022
Obesity is associated with coronary artery stenosis independently of metabolic risk factors: The population-based SCAPIS studyLars Lind, Hanna Markstad, Håkan Ahlström, et al.
Cardiovascular Diabetology|September 27, 2023
Prevalence of atherosclerosis in individuals with prediabetes and diabetes compared to normoglycaemic individuals-a Swedish population-based studyCarl Johan Östgren, Julia Otten, Karin Festin, et al.
Pageof 16