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Ilias Sarbout

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

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Survey of Ophthalmology|November 20, 2024
Applications of artificial intelligence to inherited retinal diseases: A systematic reviewMohamad Issa, Georges Sukkarieh, Mathias Gallardo, et al.
Plos Computational Biology|October 21, 2025
Scalable, trustworthy generative model for virtual multi-staining from H&E whole slide imagesMehdi Ounissi, Ilias Sarbout, Jean-Pierre Hugot, et al.
Eye and Brain|September 5, 2025
Visual Prostheses in the Era of Artificial Intelligence TechnologyIlias Sarbout, Ayse Gungor, Mehdi Ounissi, et al.
Journal of Neuro-Ophthalmology : the Official Journal of the North American Neuro-Ophthalmology Society|August 28, 2025
Deep Learning-Based Detection of Papilledema on Retinal Photographs From Handheld Cameras: A Prospective StudyAyse Gungor, Zhiqun Tang, Jing L Loo, et al.
Journal of the American Heart Association|June 27, 2025
Artificial Intelligence-Based Detection of Central Retinal Artery Occlusion Within 4.5 Hours on Standard Fundus PhotographsAyse Gungor, Ilias Sarbout, Aubrey L Gilbert, et al.
Pageof 1

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

Sort By:
Pageof 1
Survey of Ophthalmology|November 20, 2024
Applications of artificial intelligence to inherited retinal diseases: A systematic reviewMohamad Issa, Georges Sukkarieh, Mathias Gallardo, et al.
Plos Computational Biology|October 21, 2025
Scalable, trustworthy generative model for virtual multi-staining from H&E whole slide imagesMehdi Ounissi, Ilias Sarbout, Jean-Pierre Hugot, et al.
Eye and Brain|September 5, 2025
Visual Prostheses in the Era of Artificial Intelligence TechnologyIlias Sarbout, Ayse Gungor, Mehdi Ounissi, et al.
Journal of Neuro-Ophthalmology : the Official Journal of the North American Neuro-Ophthalmology Society|August 28, 2025
Deep Learning-Based Detection of Papilledema on Retinal Photographs From Handheld Cameras: A Prospective StudyAyse Gungor, Zhiqun Tang, Jing L Loo, et al.
Journal of the American Heart Association|June 27, 2025
Artificial Intelligence-Based Detection of Central Retinal Artery Occlusion Within 4.5 Hours on Standard Fundus PhotographsAyse Gungor, Ilias Sarbout, Aubrey L Gilbert, et al.
Pageof 1