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

Kaspars Sudars

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

Pageof 1
Sort By:
Journal of Imaging|February 24, 2022
Improving Performance of the PRYSTINE Traffic Sign Classification by Using a Perturbation-Based Explainability ApproachKaspars Sudars, Ivars Namatēvs, Kaspars Ozols
Journal of Imaging|February 25, 2025
Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AIArturs Nikulins, Edgars Edelmers, Kaspars Sudars, et al.
Data in Brief|June 25, 2020
Dataset of annotated food crops and weed images for robotic computer vision controlKaspars Sudars, Janis Jasko, Ivars Namatevs, et al.
Diagnostics (Basel, Switzerland)|January 22, 2024
Automatization of CT Annotation: Combining AI Efficiency with Expert PrecisionEdgars Edelmers, Dzintra Kazoka, Katrina Bolocko, et al.
Tomography (Ann Arbor, Mich.)|October 27, 2023
Modular Neural Networks for Osteoporosis Detection in Mandibular Cone-Beam Computed Tomography ScansIvars Namatevs, Arturs Nikulins, Edgars Edelmers, et al.
Data in Brief|June 9, 2022
QuinceSet: Dataset of annotated Japanese quince images for object detectionEdīte Kaufmane, Kaspars Sudars, Ivars Namatēvs, et al.
Pageof 1

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

Sort By:
Pageof 1
Journal of Imaging|February 24, 2022
Improving Performance of the PRYSTINE Traffic Sign Classification by Using a Perturbation-Based Explainability ApproachKaspars Sudars, Ivars Namatēvs, Kaspars Ozols
Journal of Imaging|February 25, 2025
Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AIArturs Nikulins, Edgars Edelmers, Kaspars Sudars, et al.
Data in Brief|June 25, 2020
Dataset of annotated food crops and weed images for robotic computer vision controlKaspars Sudars, Janis Jasko, Ivars Namatevs, et al.
Diagnostics (Basel, Switzerland)|January 22, 2024
Automatization of CT Annotation: Combining AI Efficiency with Expert PrecisionEdgars Edelmers, Dzintra Kazoka, Katrina Bolocko, et al.
Tomography (Ann Arbor, Mich.)|October 27, 2023
Modular Neural Networks for Osteoporosis Detection in Mandibular Cone-Beam Computed Tomography ScansIvars Namatevs, Arturs Nikulins, Edgars Edelmers, et al.
Data in Brief|June 9, 2022
QuinceSet: Dataset of annotated Japanese quince images for object detectionEdīte Kaufmane, Kaspars Sudars, Ivars Namatēvs, et al.
Pageof 1