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

Mickael Tardy

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Frontiers in Radiology|July 26, 2023
Leveraging Multi-Task Learning to Cope With Poor and Missing Labels of MammogramsMickael Tardy, Diana Mateus
Diagnostics (Basel, Switzerland)|January 8, 2023
A Comparison of Techniques for Class Imbalance in Deep Learning Classification of Breast CancerRicky Walsh, Mickael Tardy
IEEE Transactions on Medical Imaging|January 8, 2021
Looking for Abnormalities in Mammograms With Self- and Weakly Supervised ReconstructionMickael Tardy, Diana Mateus
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 3, 2025
Enhancing breast cancer screening: Unveiling explainable cross-view contributions in dual-view mammography with Sparse Bipartite Graphs Attention NetworksGuillaume Pelluet, Mira Rizkallah, Mickael Tardy, et al.
Computer Methods and Programs in Biomedicine|January 2, 2023
Memory-aware curriculum federated learning for breast cancer classificationAmelia Jiménez-Sánchez, Mickael Tardy, Miguel A González Ballester, et al.
Insights Into Imaging|February 16, 2026
AI-based image quality assessment of positioning in mammography: considerations and challengesTina Santner, Mickael Tardy, Johanne-Gro Stalheim, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Frontiers in Radiology|July 26, 2023
Leveraging Multi-Task Learning to Cope With Poor and Missing Labels of MammogramsMickael Tardy, Diana Mateus
Diagnostics (Basel, Switzerland)|January 8, 2023
A Comparison of Techniques for Class Imbalance in Deep Learning Classification of Breast CancerRicky Walsh, Mickael Tardy
IEEE Transactions on Medical Imaging|January 8, 2021
Looking for Abnormalities in Mammograms With Self- and Weakly Supervised ReconstructionMickael Tardy, Diana Mateus
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 3, 2025
Enhancing breast cancer screening: Unveiling explainable cross-view contributions in dual-view mammography with Sparse Bipartite Graphs Attention NetworksGuillaume Pelluet, Mira Rizkallah, Mickael Tardy, et al.
Computer Methods and Programs in Biomedicine|January 2, 2023
Memory-aware curriculum federated learning for breast cancer classificationAmelia Jiménez-Sánchez, Mickael Tardy, Miguel A González Ballester, et al.
Insights Into Imaging|February 16, 2026
AI-based image quality assessment of positioning in mammography: considerations and challengesTina Santner, Mickael Tardy, Johanne-Gro Stalheim, et al.
Pageof 1