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

Ide Van den Borre

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

Pageof 1
Sort By:
Skeletal Radiology|September 27, 2025
Quantifying 3D foot and ankle alignment using an AI-driven framework: a pilot studyRoel Huysentruyt, Emmanuel Audenaert, Ide Van den Borre, et al.
Gait & Posture|June 8, 2024
Development and validation of a fully automated tool to quantify 3D foot and ankle alignment using weight-bearing CTIde Van den Borre, Matthias Peiffer, Roel Huysentruyt, et al.
Bone & Joint Open|December 8, 2025
Impact of weightbearing on progressive collapsing foot deformity shape : a geometric morphometric analysisJing Li, Cédric Bonte, Emmanuel Audenaert, et al.
Scientific Reports|May 12, 2026
Impact of weight-bearing on foot shape: a geometric and morphometric assessment using principal polynomial shape analysisJing Li, Cédric Bonte, Emmanuel Audenaert, et al.
Journal of Experimental Orthopaedics|March 2, 2026
Combining deep learning with statistical shape modelling enables automated lower limb measurements with observer-level reliability using weight-bearing computed tomographyIde Van den Borre, Emmanuel Audenaert, Hannes Vermue, et al.
Scientific Reports|August 23, 2023
Implementing automated 3D measurements to quantify reference values and side-to-side differences in the ankle syndesmosisMatthias Peiffer, Ide Van Den Borre, Tanguy Segers, et al.
Pageof 1

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

Sort By:
Pageof 1
Skeletal Radiology|September 27, 2025
Quantifying 3D foot and ankle alignment using an AI-driven framework: a pilot studyRoel Huysentruyt, Emmanuel Audenaert, Ide Van den Borre, et al.
Gait & Posture|June 8, 2024
Development and validation of a fully automated tool to quantify 3D foot and ankle alignment using weight-bearing CTIde Van den Borre, Matthias Peiffer, Roel Huysentruyt, et al.
Bone & Joint Open|December 8, 2025
Impact of weightbearing on progressive collapsing foot deformity shape : a geometric morphometric analysisJing Li, Cédric Bonte, Emmanuel Audenaert, et al.
Scientific Reports|May 12, 2026
Impact of weight-bearing on foot shape: a geometric and morphometric assessment using principal polynomial shape analysisJing Li, Cédric Bonte, Emmanuel Audenaert, et al.
Journal of Experimental Orthopaedics|March 2, 2026
Combining deep learning with statistical shape modelling enables automated lower limb measurements with observer-level reliability using weight-bearing computed tomographyIde Van den Borre, Emmanuel Audenaert, Hannes Vermue, et al.
Scientific Reports|August 23, 2023
Implementing automated 3D measurements to quantify reference values and side-to-side differences in the ankle syndesmosisMatthias Peiffer, Ide Van Den Borre, Tanguy Segers, et al.
Pageof 1