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

Stian Stølen

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography|August 28, 2025
Real-Time Global Longitudinal Strain During Echocardiography: A Deep Learning Platform for Improved WorkflowVegard Holmstrøm, Erik Smistad, Stian Stølen, et al.
JACC. Cardiovascular Imaging|November 3, 2023
Echocardiographic Reference Ranges of Global Longitudinal Strain for All Cardiac Chambers Using Guideline-Directed Dedicated ViewsJohn Nyberg, Even Olav Jakobsen, Andreas Østvik, et al.
Artificial Intelligence in Medicine|October 2, 2023
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordingsAnders Austlid Taskén, Erik Andreas Rye Berg, Bjørnar Grenne, et al.
Ultrasound in Medicine & Biology|March 14, 2024
Automatic Detection and Tracking of Anatomical Landmarks in Transesophageal Echocardiography for Quantification of Left Ventricular FunctionAnders Austlid Taskén, Jinyang Yu, Erik Andreas Rye Berg, et al.
Open Heart|December 8, 2025
Real-time deep learning-based image guiding and automated left ventricular measurements to reduce test-retest variabilityHåkon Pettersen, Sigbjorn Sabo, David Pasdeloup, et al.
European Heart Journal. Imaging Methods and Practice|July 24, 2024
Fully automatic estimation of global left ventricular systolic function using deep learning in transoesophageal echocardiographyErik Andreas Rye Berg, Anders Austlid Taskén, Trym Nordal, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|May 22, 2020
Feasibility and Accuracy of Tele-Echocardiography, With Examinations by Nurses and Interpretation by an Expert via Telemedicine, in an Outpatient Heart Failure ClinicAnna Katarina Hjorth-Hansen, Garrett Newton Andersen, Torbjørn Graven, et al.
European Heart Journal. Imaging Methods and Practice|August 1, 2025
Real-time guidance and automated measurements using deep learning to improve echocardiographic assessment of left ventricular size and functionSigbjorn Sabo, Håkon Pettersen, Gunn C Bøen, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography|August 28, 2025
Real-Time Global Longitudinal Strain During Echocardiography: A Deep Learning Platform for Improved WorkflowVegard Holmstrøm, Erik Smistad, Stian Stølen, et al.
JACC. Cardiovascular Imaging|November 3, 2023
Echocardiographic Reference Ranges of Global Longitudinal Strain for All Cardiac Chambers Using Guideline-Directed Dedicated ViewsJohn Nyberg, Even Olav Jakobsen, Andreas Østvik, et al.
Artificial Intelligence in Medicine|October 2, 2023
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordingsAnders Austlid Taskén, Erik Andreas Rye Berg, Bjørnar Grenne, et al.
Ultrasound in Medicine & Biology|March 14, 2024
Automatic Detection and Tracking of Anatomical Landmarks in Transesophageal Echocardiography for Quantification of Left Ventricular FunctionAnders Austlid Taskén, Jinyang Yu, Erik Andreas Rye Berg, et al.
Open Heart|December 8, 2025
Real-time deep learning-based image guiding and automated left ventricular measurements to reduce test-retest variabilityHåkon Pettersen, Sigbjorn Sabo, David Pasdeloup, et al.
European Heart Journal. Imaging Methods and Practice|July 24, 2024
Fully automatic estimation of global left ventricular systolic function using deep learning in transoesophageal echocardiographyErik Andreas Rye Berg, Anders Austlid Taskén, Trym Nordal, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|May 22, 2020
Feasibility and Accuracy of Tele-Echocardiography, With Examinations by Nurses and Interpretation by an Expert via Telemedicine, in an Outpatient Heart Failure ClinicAnna Katarina Hjorth-Hansen, Garrett Newton Andersen, Torbjørn Graven, et al.
European Heart Journal. Imaging Methods and Practice|August 1, 2025
Real-time guidance and automated measurements using deep learning to improve echocardiographic assessment of left ventricular size and functionSigbjorn Sabo, Håkon Pettersen, Gunn C Bøen, et al.
Pageof 1