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Oculus

6.30 Other (157)

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91070 Comparative analysis of ocular redness score evaluated automatically in glaucoma patients under different topical medications
Giannaccare G
European Journal of Ophthalmology 2020; 0: 1120672120969612
91419 The Appropriateness of Digital Diabetic Retinopathy Screening Images for a Computer-Aided Glaucoma Screening System
Almazroa AA
Clinical Ophthalmology 2020; 14: 3881-3890
91654 Feasibility of MRI to assess differences in ophthalmic artery blood flow rate in normal tension glaucoma and healthy controls
Kristiansen M
Acta Ophthalmologica 2020; 0:
90942 Applications of deep learning in detection of glaucoma: A systematic review
Mirzania D
European Journal of Ophthalmology 2020; 0: 1120672120977346
91528 Predicting Glaucoma Development With Longitudinal Deep Learning Predictions From Fundus Photographs
Lee T
American Journal of Ophthalmology 2021; 225: 86-94
91206 MRI after successful eyeWatch implantation
Roy S
European Journal of Ophthalmology 2020; 0: 1120672120973617
91744 Angle-closure assessment in anterior segment OCT images via deep learning
Hao H
Medical Image Analysis 2021; 69: 101956
91534 Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images
George Y
IEEE journal of biomedical and health informatics 2020; 24: 3421-3430
91496 A combined convolutional and recurrent neural network for enhanced glaucoma detection
Gheisari S
Scientific reports 2021; 11: 1945
91274 Ophthalmic Artery and Superior Ophthalmic Vein Blood Flow Dynamics in Glaucoma Investigated by Phase Contrast Magnetic Resonance Imaging
Promelle V
Journal of Glaucoma 2021; 30: 65-70
91544 Investigating changes in axonal density and morphology of glaucomatous optic nerves using fixel-based analysis
Haykal S
European journal of radiology 2020; 133: 109356
91853 OCT Signal Enhancement with Deep Learning
Lazaridis G
Ophthalmology. Glaucoma 2020; 0:
91858 Explaining the Rationale of Deep Learning Glaucoma Decisions with Adversarial Examples
Chang J
Ophthalmology 2021; 128: 78-88
91744 Angle-closure assessment in anterior segment OCT images via deep learning
Hao H
Medical Image Analysis 2021; 69: 101956
91709 Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks
Lazaridis G
Medical Image Analysis 2021; 68: 101906
91404 An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus
Singh LK
Medical and Biological Engineering and Computing 2021; 59: 333-353
91056 Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device
Prabhakar B
Computerized Medical Imaging and Graphics 2021; 87: 101818
91421 Glaucoma Detection from Raw SD-OCT Volumes: A Novel Approach Focused on Spatial Dependencies
García G
Computer Methods and Programs in Biomedicine 2021; 200: 105855
91853 OCT Signal Enhancement with Deep Learning
Lazaridis G
Ophthalmology. Glaucoma 2020; 0:
91659 Visual Field Reconstruction Using fMRI-Based Techniques
Carvalho J
Translational vision science & technology 2021; 10: 25
90995 Deep learning classification of early normal-tension glaucoma and glaucoma suspects using Bruch's membrane opening-minimum rim width and RNFL
Seo SB
Scientific reports 2020; 10: 19042
91034 Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data
Dixit A
Ophthalmology 2020; 0:
90900 Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice
Mursch-Edlmayr AS
Translational vision science & technology 2020; 9: 55
90960 Ganglion cell layer analysis with deep learning in glaucoma diagnosis
Díaz-Alemán VT
Archivos de la Sociedad Espaņola de Oftalmologia 2020; 0:
91709 Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks
Lazaridis G
Medical Image Analysis 2021; 68: 101906

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