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6.9.5 Other (150)
Showing records 1 to 25
Display all abstracts in classification 6.9.5 Other
Search within classification 6.9.5 Other92169 3D augmented fundus images for identifying glaucoma via transferred convolutional neural networks
Wang P
International Ophthalmology 2021; 41: 2065-2072
92226 Deep Learning Ensemble Method for Classifying Glaucoma Stages Using Fundus Photographs and Convolutional Neural Networks
Cho H
Current Eye Research 2021; 0: 1-9
92005 Macular pigment optical density change analysis in primary open-angle glaucoma and pseudoexfoliation glaucoma
Zeki Fikret C
International Ophthalmology 2021; 41: 2235-2240
92837 Towards 'automated gonioscopy': a deep learning algorithm for 360° angle assessment by swept-source optical coherence tomography
Porporato N
British Journal of Ophthalmology 2022; 106: 1387-1392
92430 GLAUDIA: A predicative system for glaucoma diagnosis in mass scanning
Omar Y
Health informatics journal 2021; 27: 14604582211009276
92835 Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology
Ting DSJ
British Journal of Ophthalmology 2021; 105: 158-168
92194 Estimating Ganglion Cell Complex Rates of Change With Bayesian Hierarchical Models
Mohammadzadeh V
Translational vision science & technology 2021; 10: 15
92483 Diagnostics of diseases of the optic nerve head in times of artificial intelligence and big data
Diener R
Ophthalmologe 2021; 0:
92254 Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection
Zheng C
Translational vision science & technology 2021; 10: 34
92035 Detection of glaucoma using retinal fundus images: A comprehensive review
Shabbir A
Mathematical biosciences and engineering : MBE 2021; 18: 2033-2076
92494 A multi-scale convolutional neural network with context for joint segmentation of optic disc and cup
Yuan X
Artificial Intelligence in Medicine 2021; 113: 102035
92364 Automatic glaucoma detection based on transfer induced attention network
Xu X
Biomedical engineering online 2021; 20: 39
92753 A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Xu Y
NPJ digital medicine 2021; 4: 48
92846 Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning
Medeiros FA
Ophthalmology 2021; 128: 383-392
92677 Deep Learning Estimation of 10-2 and 24-2 Visual Field Metrics Based on Thickness Maps from Macula OCT
Christopher M
Ophthalmology 2021; 0:
92176 High interpretable machine learning classifier for early glaucoma diagnosis
Fernandez Escamez CS
International Journal of Ophthalmology 2021; 14: 393-398
92406 Glaucoma Expert-Level Detection of Angle Closure in Goniophotographs With Convolutional Neural Networks: The Chinese American Eye Study
Chiang M
American Journal of Ophthalmology 2021; 226: 100-107
92367 Automated detection of glaucoma with interpretable machine learning using clinical data and multi-modal retinal images
Mehta P
American Journal of Ophthalmology 2021; 231: 154-169
92001 Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucoma
Hashimoto Y
British Journal of Ophthalmology 2021; 105: 507-513
92677 Deep Learning Estimation of 10-2 and 24-2 Visual Field Metrics Based on Thickness Maps from Macula OCT
Bowd C
Ophthalmology 2021; 0:
92169 3D augmented fundus images for identifying glaucoma via transferred convolutional neural networks
Yuan M
International Ophthalmology 2021; 41: 2065-2072
92364 Automatic glaucoma detection based on transfer induced attention network
Guan Y
Biomedical engineering online 2021; 20: 39
92035 Detection of glaucoma using retinal fundus images: A comprehensive review
Rasheed A
Mathematical biosciences and engineering : MBE 2021; 18: 2033-2076
92846 Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning
Jammal AA
Ophthalmology 2021; 128: 383-392
92194 Estimating Ganglion Cell Complex Rates of Change With Bayesian Hierarchical Models
Su E
Translational vision science & technology 2021; 10: 15
