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

Nabil Madali

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

Pageof 1
Sort By:
Applied Optics|August 12, 2025
Ps-ViT: phase space vision transformer pre-training for the depth estimation in computer-generated hologramsNabil Madali, Ibrahim Taabane
Applied Optics|April 24, 2026
Fully self-supervised physics-aware holographic depth estimationNabil Madali, Ibrahim Taabane
Optics Express|February 14, 2023
Automatic depth map retrieval from digital holograms using a deep learning approachNabil Madali, Antonin Gilles, Patrick Gioia, et al.
Applied Optics|May 3, 2023
Automatic depth map retrieval from digital holograms using a depth-from-focus approachNabil Madali, Antonin Gilles, Patrick Gioia, et al.
Optics Express|February 1, 2024
PS-NET: an end-to-end phase space depth estimation approach for computer-generated hologramsNabil Madali, Antonin Gilles, Patrick Gioia, et al.
Optics Letters|June 15, 2023
H-Seg: a horizontal reconstruction volume segmentation method for accurate depth estimation in a computer-generated hologramNabil Madali, Antonin Gilles, Patrick Gioia, et al.
Pageof 1

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

Sort By:
Pageof 1
Applied Optics|August 12, 2025
Ps-ViT: phase space vision transformer pre-training for the depth estimation in computer-generated hologramsNabil Madali, Ibrahim Taabane
Applied Optics|April 24, 2026
Fully self-supervised physics-aware holographic depth estimationNabil Madali, Ibrahim Taabane
Optics Express|February 14, 2023
Automatic depth map retrieval from digital holograms using a deep learning approachNabil Madali, Antonin Gilles, Patrick Gioia, et al.
Applied Optics|May 3, 2023
Automatic depth map retrieval from digital holograms using a depth-from-focus approachNabil Madali, Antonin Gilles, Patrick Gioia, et al.
Optics Express|February 1, 2024
PS-NET: an end-to-end phase space depth estimation approach for computer-generated hologramsNabil Madali, Antonin Gilles, Patrick Gioia, et al.
Optics Letters|June 15, 2023
H-Seg: a horizontal reconstruction volume segmentation method for accurate depth estimation in a computer-generated hologramNabil Madali, Antonin Gilles, Patrick Gioia, et al.
Pageof 1