Translational Vision Science & Technology

Papers
(The H4-Index of Translational Vision Science & Technology is 29. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression88
Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient83
Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography75
Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy75
Advancing Clinical Trials for Inherited Retinal Diseases: Recommendations from the Second Monaciano Symposium57
Artificial Intelligence to Stratify Severity of Age-Related Macular Degeneration (AMD) and Predict Risk of Progression to Late AMD57
Addressing Artificial Intelligence Bias in Retinal Diagnostics50
Keratoconus Screening Based on Deep Learning Approach of Corneal Topography50
Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice49
Harmonization of Outcomes and Vision Endpoints in Vision Restoration Trials: Recommendations from the International HOVER Taskforce43
Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms40
Evaluating the Performance of Various Machine Learning Algorithms to Detect Subclinical Keratoconus38
One-Year Follow-Up in a Phase 1/2a Clinical Trial of an Allogeneic RPE Cell Bioengineered Implant for Advanced Dry Age-Related Macular Degeneration38
Protecting Data Privacy in the Age of AI-Enabled Ophthalmology37
Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening37
Depth-Dependent Corneal Biomechanical Properties in Normal and Keratoconic Subjects by Optical Coherence Elastography37
Effect of Defocus Incorporated Multiple Segments Spectacle Lens Wear on Visual Function in Myopic Chinese Children36
Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms35
Automated Segmentation of Retinal Fluid Volumes From Structural and Angiographic Optical Coherence Tomography Using Deep Learning35
DeepRetina: Layer Segmentation of Retina in OCT Images Using Deep Learning35
Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders35
Histologic Changes Following Continuous Wave and Micropulse Transscleral Cyclophotocoagulation: A Randomized Comparative Study34
Automated Segmentation of Optical Coherence Tomography Angiography Images: Benchmark Data and Clinically Relevant Metrics34
Climatic and Environmental Correlates of Dry Eye Disease Severity: A Report From the Dry Eye Assessment and Management (DREAM) Study33
The RUSH2A Study: Best-Corrected Visual Acuity, Full-Field Electroretinography Amplitudes, and Full-Field Stimulus Thresholds at Baseline32
Choroidal Biomarkers: A Repeatability and Topographical Comparison of Choroidal Thickness and Choroidal Vascularity Index in Healthy Eyes31
Virtual Reality–Based and Conventional Visual Field Examination Comparison in Healthy and Glaucoma Patients31
Face Mask-Related Ocular Surface Modifications During COVID-19 Pandemic: A Clinical, In Vivo Confocal Microscopy, and Immune-Cytology Study31
High-Speed, Ultrahigh-Resolution Spectral-Domain OCT with Extended Imaging Range Using Reference Arm Length Matching29
In Vivo Imaging of Retinal and Choroidal Morphology and Vascular Plexuses of Vertebrates Using Swept-Source Optical Coherence Tomography29
A Deep Learning Model for Automated Sub-Basal Corneal Nerve Segmentation and Evaluation Using In Vivo Confocal Microscopy29
Intradevice Repeatability and Interdevice Agreement of Ocular Biometric Measurements: A Comparison of Two Swept-Source Anterior Segment OCT Devices29
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