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

Filippo Bargagna

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
Journal of Digital Imaging|October 3, 2023
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity ScenariosFilippo Bargagna, Lisa Anita De Santi, Nicola Martini, et al.
Journal of Imaging Informatics in Medicine|October 2, 2024
Automated Neural Architecture Search for Cardiac Amyloidosis Classification from [18F]-Florbetaben PET ImagesFilippo Bargagna, Donato Zigrino, Lisa Anita De Santi, et al.
NPP - Digital Psychiatry and Neuroscience|January 30, 2026
A probabilistic deep learning approach for choroid plexus segmentation in autism spectrum disorderFilippo Bargagna, Thomas M Morin, Ya-Chin Chen, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Journal of Digital Imaging|October 3, 2023
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity ScenariosFilippo Bargagna, Lisa Anita De Santi, Nicola Martini, et al.
Journal of Imaging Informatics in Medicine|October 2, 2024
Automated Neural Architecture Search for Cardiac Amyloidosis Classification from [18F]-Florbetaben PET ImagesFilippo Bargagna, Donato Zigrino, Lisa Anita De Santi, et al.
NPP - Digital Psychiatry and Neuroscience|January 30, 2026
A probabilistic deep learning approach for choroid plexus segmentation in autism spectrum disorderFilippo Bargagna, Thomas M Morin, Ya-Chin Chen, et al.
Pageof 1