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

Jennifer Alvén

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Osteoporosis International : a Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA|May 12, 2026
Vertebral fractures identified on lateral DXA images by deep learning predict incident fractures in older womenMattias Lorentzon, Victor Wåhlstrand, Jennifer Alvén, et al.
Scientific Reports|January 24, 2024
A deep multi-stream model for robust prediction of left ventricular ejection fraction in 2D echocardiographyJennifer Alvén, Eva Hagberg, David Hagerman, et al.
Computers in Biology and Medicine|February 27, 2022
Semi-supervised learning with natural language processing for right ventricle classification in echocardiography-a scalable approachEva Hagberg, David Hagerman, Richard Johansson, et al.
The International Journal of Cardiovascular Imaging|May 15, 2024
NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinationsEmma Palmquist, Jennifer Alvén, Michael Kercsik, et al.
European Radiology|February 5, 2025
PlaqueViT: a vision transformer model for fully automatic vessel and plaque segmentation in coronary computed tomography angiographyJennifer Alvén, Richard Petersen, David Hagerman, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 24, 2016
Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiographyAlexander Norlén, Jennifer Alvén, David Molnar, et al.
Osteoporosis International : a Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA|February 3, 2022
Development of a novel method to measure bone marrow fat fraction in older women using high-resolution peripheral quantitative computed tomographyAlison Flehr, Julius Källgård, Jennifer Alvén, et al.
Heliyon|May 22, 2023
High-quality annotations for deep learning enabled plaque analysis in SCAPIS cardiac computed tomography angiographyErika Fagman, Jennifer Alvén, Johan Westerbergh, et al.
The Lancet. Digital Health|December 22, 2023
Deep learning for [<sup>18</sup>F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysisIda Häggström, Doris Leithner, Jennifer Alvén, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Osteoporosis International : a Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA|May 12, 2026
Vertebral fractures identified on lateral DXA images by deep learning predict incident fractures in older womenMattias Lorentzon, Victor Wåhlstrand, Jennifer Alvén, et al.
Scientific Reports|January 24, 2024
A deep multi-stream model for robust prediction of left ventricular ejection fraction in 2D echocardiographyJennifer Alvén, Eva Hagberg, David Hagerman, et al.
Computers in Biology and Medicine|February 27, 2022
Semi-supervised learning with natural language processing for right ventricle classification in echocardiography-a scalable approachEva Hagberg, David Hagerman, Richard Johansson, et al.
The International Journal of Cardiovascular Imaging|May 15, 2024
NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinationsEmma Palmquist, Jennifer Alvén, Michael Kercsik, et al.
European Radiology|February 5, 2025
PlaqueViT: a vision transformer model for fully automatic vessel and plaque segmentation in coronary computed tomography angiographyJennifer Alvén, Richard Petersen, David Hagerman, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 24, 2016
Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiographyAlexander Norlén, Jennifer Alvén, David Molnar, et al.
Osteoporosis International : a Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA|February 3, 2022
Development of a novel method to measure bone marrow fat fraction in older women using high-resolution peripheral quantitative computed tomographyAlison Flehr, Julius Källgård, Jennifer Alvén, et al.
Heliyon|May 22, 2023
High-quality annotations for deep learning enabled plaque analysis in SCAPIS cardiac computed tomography angiographyErika Fagman, Jennifer Alvén, Johan Westerbergh, et al.
The Lancet. Digital Health|December 22, 2023
Deep learning for [<sup>18</sup>F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysisIda Häggström, Doris Leithner, Jennifer Alvén, et al.
Pageof 1