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

Theodore Barfoot

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
IEEE Transactions on Medical Imaging|March 11, 2026
Average Calibration Losses for Reliable Uncertainty in Medical Image SegmentationTheodore Barfoot, Luis C Garcia-Peraza-Herrera, Samet Akcay, et al.
European Heart Journal. Digital Health|May 21, 2025
An investigation into the causes of race bias in artificial intelligence-based cine cardiac magnetic resonance segmentationTiarna Lee, Esther Puyol-Antón, Bram Ruijsink, et al.
BMJ Open|October 5, 2022
Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy studyLaura Satchwell, Linda Wedlake, Emily Greenlay, et al.
Computers in Biology and Medicine|September 11, 2025
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge resultsMeritxell Riera-Marín, Sikha O K, Júlia Rodríguez-Comas, et al.
Scientific Data|January 27, 2026
The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) datasetDominic LaBella, Katherine Schumacher, Michael Mix, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Medical Imaging|March 11, 2026
Average Calibration Losses for Reliable Uncertainty in Medical Image SegmentationTheodore Barfoot, Luis C Garcia-Peraza-Herrera, Samet Akcay, et al.
European Heart Journal. Digital Health|May 21, 2025
An investigation into the causes of race bias in artificial intelligence-based cine cardiac magnetic resonance segmentationTiarna Lee, Esther Puyol-Antón, Bram Ruijsink, et al.
BMJ Open|October 5, 2022
Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy studyLaura Satchwell, Linda Wedlake, Emily Greenlay, et al.
Computers in Biology and Medicine|September 11, 2025
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge resultsMeritxell Riera-Marín, Sikha O K, Júlia Rodríguez-Comas, et al.
Scientific Data|January 27, 2026
The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) datasetDominic LaBella, Katherine Schumacher, Michael Mix, et al.
Pageof 1