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Lynn Kandakji

Showing results (1-10 of 8) with videos related to

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Cornea|April 10, 2026
An Open-Source Deep Learning Framework for Automated Corneal Segmentation in Anterior Segment Optical Coherence Tomography With Cross-Device External ValidationLynn Kandakji, Siyin Liu, Shafi Balal, et al.
Ophthalmology Science|June 8, 2026
Automated Triage for New Keratoconus Referrals Using Multimodal Deep LearningShafi Balal, Lynn Kandakji, Marcello Leucci, et al.
Ophthalmology Science|January 5, 2026
Data-Driven Detection of Subclinical Keratoconus via Semi-Supervised Clustering of Multidimensional Corneal BiomarkersLynn Kandakji, Shafi Balal, Aleksander Stupnicki, et al.
BMJ Open|October 29, 2025
Investigating the capability of deep learning models to predict age and biological sex from anterior segment ophthalmic imaging: a multi-centre retrospective studyShafi Balal, Laurence Cox, Ajmal Khan, et al.
Eye (London, England)|February 26, 2024
A comparison of keratoconus progression following collagen cross-linkage using standard or personalised keratometry thresholdsJi-Peng Olivia Li, Howard P Maile, Catey Bunce, et al.
Journal of Cataract and Refractive Surgery|May 27, 2025
Establishing the ground truth for keratoconus progression: combining repeated measures and adapting precision limits to disease severity in tomographyDr Shafi Balal, Dr Yijun Cai, Ms Lynn Kandakji, et al.
Ophthalmology Science|February 20, 2026
Visual Field Estimation in X-Linked Retinitis Pigmentosa Associated with Retinitis Pigmentosa GTPase Regulator (<i>RPGR</i>) from Image Analysis Using Artificial IntelligenceMalena Daich Varela, William Woof, Yathusha Kumarasamy, et al.
Translational Vision Science & Technology|June 6, 2025
Current Applications of Artificial Intelligence for Fuchs Endothelial Corneal Dystrophy: A Systematic ReviewSiyin Liu, Lynn Kandakji, Aleksander Stupnicki, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Cornea|April 10, 2026
An Open-Source Deep Learning Framework for Automated Corneal Segmentation in Anterior Segment Optical Coherence Tomography With Cross-Device External ValidationLynn Kandakji, Siyin Liu, Shafi Balal, et al.
Ophthalmology Science|June 8, 2026
Automated Triage for New Keratoconus Referrals Using Multimodal Deep LearningShafi Balal, Lynn Kandakji, Marcello Leucci, et al.
Ophthalmology Science|January 5, 2026
Data-Driven Detection of Subclinical Keratoconus via Semi-Supervised Clustering of Multidimensional Corneal BiomarkersLynn Kandakji, Shafi Balal, Aleksander Stupnicki, et al.
BMJ Open|October 29, 2025
Investigating the capability of deep learning models to predict age and biological sex from anterior segment ophthalmic imaging: a multi-centre retrospective studyShafi Balal, Laurence Cox, Ajmal Khan, et al.
Eye (London, England)|February 26, 2024
A comparison of keratoconus progression following collagen cross-linkage using standard or personalised keratometry thresholdsJi-Peng Olivia Li, Howard P Maile, Catey Bunce, et al.
Journal of Cataract and Refractive Surgery|May 27, 2025
Establishing the ground truth for keratoconus progression: combining repeated measures and adapting precision limits to disease severity in tomographyDr Shafi Balal, Dr Yijun Cai, Ms Lynn Kandakji, et al.
Ophthalmology Science|February 20, 2026
Visual Field Estimation in X-Linked Retinitis Pigmentosa Associated with Retinitis Pigmentosa GTPase Regulator (<i>RPGR</i>) from Image Analysis Using Artificial IntelligenceMalena Daich Varela, William Woof, Yathusha Kumarasamy, et al.
Translational Vision Science & Technology|June 6, 2025
Current Applications of Artificial Intelligence for Fuchs Endothelial Corneal Dystrophy: A Systematic ReviewSiyin Liu, Lynn Kandakji, Aleksander Stupnicki, et al.
Pageof 1