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

Sebastien Cadet

Showing results (51-60 of 67) with videos related to

Pageof 7
Sort By:
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|January 21, 2021
Quantifying microcalcification activity in the thoracic aortaAlexander J Fletcher, Maria Lembo, Jacek Kwiecinski, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|January 16, 2023
Relationship between impaired myocardial blood flow by positron emission tomography and low-attenuation plaque burden and pericoronary adipose tissue attenuation from coronary computed tomography: From the prospective PACIFIC trialKeiichiro Kuronuma, Pepijn A van Diemen, Donghee Han, et al.
Circulation. Cardiovascular Imaging|October 17, 2022
Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood FlowAndrew Lin, Pepijn A van Diemen, Manish Motwani, et al.
Arxiv|April 6, 2021
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networksKajetan Grodecki, Aditya Killekar, Andrew Lin, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 12, 2022
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networksAditya Killekar, Kajetan Grodecki, Andrew Lin, et al.
The British Journal of Radiology|June 13, 2023
Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systemsKajetan Grodecki, Aditya Killekar, Judit Simon, et al.
JACC. Cardiovascular Imaging|July 18, 2021
Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery DiseaseYuka Otaki, Ananya Singh, Paul Kavanagh, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 5, 2022
Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion ImagingRobert J H Miller, Keiichiro Kuronuma, Ananya Singh, et al.
JACC. Cardiovascular Imaging|February 26, 2022
Bypass Grafting and Native Coronary Artery Disease ActivityJacek Kwiecinski, Evangelos Tzolos, Alexander J Fletcher, et al.
European Heart Journal. Cardiovascular Imaging|September 16, 2021
Association of coronary artery calcium score with qualitatively and quantitatively assessed adverse plaque on coronary CT angiography in the SCOT-HEART trialMaia Osborne-Grinter, Jacek Kwiecinski, Mhairi Doris, et al.
Pageof 7

Showing results (51-60 of 67) with videos related to

Sort By:
Pageof 7
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|January 21, 2021
Quantifying microcalcification activity in the thoracic aortaAlexander J Fletcher, Maria Lembo, Jacek Kwiecinski, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|January 16, 2023
Relationship between impaired myocardial blood flow by positron emission tomography and low-attenuation plaque burden and pericoronary adipose tissue attenuation from coronary computed tomography: From the prospective PACIFIC trialKeiichiro Kuronuma, Pepijn A van Diemen, Donghee Han, et al.
Circulation. Cardiovascular Imaging|October 17, 2022
Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood FlowAndrew Lin, Pepijn A van Diemen, Manish Motwani, et al.
Arxiv|April 6, 2021
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networksKajetan Grodecki, Aditya Killekar, Andrew Lin, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 12, 2022
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networksAditya Killekar, Kajetan Grodecki, Andrew Lin, et al.
The British Journal of Radiology|June 13, 2023
Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systemsKajetan Grodecki, Aditya Killekar, Judit Simon, et al.
JACC. Cardiovascular Imaging|July 18, 2021
Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery DiseaseYuka Otaki, Ananya Singh, Paul Kavanagh, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 5, 2022
Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion ImagingRobert J H Miller, Keiichiro Kuronuma, Ananya Singh, et al.
JACC. Cardiovascular Imaging|February 26, 2022
Bypass Grafting and Native Coronary Artery Disease ActivityJacek Kwiecinski, Evangelos Tzolos, Alexander J Fletcher, et al.
European Heart Journal. Cardiovascular Imaging|September 16, 2021
Association of coronary artery calcium score with qualitatively and quantitatively assessed adverse plaque on coronary CT angiography in the SCOT-HEART trialMaia Osborne-Grinter, Jacek Kwiecinski, Mhairi Doris, et al.
Pageof 7