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Classification #2.14
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2.14 Optic disc
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2.14 Optic disc
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82258
Evaluation of the lamina cribrosa thickness and depth in patients with migraine
Sirakaya E
International Ophthalmology
2020; 40: 89-98
82099
Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis
Zhou W
Medical and Biological Engineering and Computing
2019; 57: 2055-2067
82874
Investigation of the Optic Nerve Head Morphology Influence to the Optic Nerve Head Biomechanics - Population Specific Model
Ko MWL
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2019; 2019: 5374-5377
82064
Longitudinal Analysis of Bruch Membrane Opening Morphometry in Myopic Glaucoma
Bhalla M
Journal of Glaucoma
2019; 28: 889-895
82005
Comparison of Diagnostic Power of Optic Nerve Head and Posterior Sclera Configuration Parameters on Myopic Normal Tension Glaucoma
Kim YC
Journal of Glaucoma
2019; 28: 834-842
82357
Lamina cribrosa pore movement during acute intraocular pressure rise
Wang YX
British Journal of Ophthalmology
2019; 0:
82514
Making a Correct Diagnosis of Glaucoma: Data From the EMGT
Öhnell H
Journal of Glaucoma
2019; 28: 859-864
82870
3D Reconstruction of the Optic Nerve Head of a Phantom Eye from Images Obtained using a Slit Lamp Fitted with Low Cost Add-Ons
Coghill I
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2019; 2019: 4717-4720
82371
Clinical Course and Risk Factors for Visual Field Progression in Normal-Tension Glaucoma With Myopia Without Glaucoma Medications
Han JC
American Journal of Ophthalmology
2020; 209: 77-87
82293
Current concepts of cerebrospinal fluid dynamics and the translaminar cribrosa pressure gradient: a paradigm of optic disk disease
Liu KC
Survey of Ophthalmology
2020; 65: 48-66
82834
Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Mao Z
Biomedical optics express
2019; 10: 5832-5851
82817
New Circumpapillary Retinal Nerve Fiber Layer Thickness and Bruch's Membrane Opening-Minimum Rim Width Assessment in Nonglaucomatous Eyes with Large Discs
Bayraktar S
Journal of Ophthalmology
2019; 2019: 3431217
82242
Peripapillary border tissue of the choroid and peripapillary scleral flange in human eyes
Jonas RA
Acta Ophthalmologica
2020; 98: e43-e49
82200
Rate of three-dimensional neuroretinal rim thinning in glaucomatous eyes with optic disc haemorrhage
Kim YW
British Journal of Ophthalmology
2019; 0:
82721
Racial Differences in the Association of Anterior Lamina Cribrosa Surface Depth and Glaucoma Severity in the African Descent and Glaucoma Evaluation Study (ADAGES)
Girkin CA
Investigative Ophthalmology and Visual Science
2019; 60: 4496-4502
82802
Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus Photographs
Tong W
Annals of the Academy of Medicine, Singapore
2019; 48: 282-289
82648
Joint optic disc and cup segmentation using semi-supervised conditional GANs
Liu S
Computers in Biology and Medicine
2019; 115: 103485
82874
Investigation of the Optic Nerve Head Morphology Influence to the Optic Nerve Head Biomechanics - Population Specific Model
Ko MWL
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2019; 2019: 5374-5377
82807
3d Biomechanical Response of the Optic Nerve Head: Initial Results From Porcine Globe Inflation Using High-frequency Ultrasound Elastography
Ma Y
Journal of Biomechanical Engineering
2019; 0:
82425
Ocular and systemic risk factors associated with recurrent disc hemorrhage in primary open-angle glaucoma
Seol BR
PLoS ONE
2019; 14: e0222166
82499
Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Phene S
Ophthalmology
2019; 126: 1627-1639
82524
Relationship between corneal deformation amplitude and optic nerve head structure in primary open-angle glaucoma
Jung Y
Medicine
2019; 98: e17223
82453
Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images
Mvoulana A
Computerized Medical Imaging and Graphics
2019; 77: 101643
82500
Determinants of maximum cup depth in non-glaucoma and primary open-angle glaucoma subjects: a population-based study
Zhang Q
Eye
2019; 0:
82193
Accuracy of computer-assisted vertical cup-to-disk ratio grading for glaucoma screening
Snyder BM
PLoS ONE
2019; 14: e0220362
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