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WGC-2021

6.30 Other (287)

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90850 Special Commentary: Using Clinical Decision Support Systems to Bring Predictive Models to the Glaucoma Clinic
Stagg BC
Ophthalmology. Glaucoma 2021; 4: 5-9
90374 An Adoptive Threshold-Based Multi-Level Deep Convolutional Neural Network for Glaucoma Eye Disease Detection and Classification
Aamir M
Diagnostics (Basel, Switzerland) 2020; 10:
89869 Disruption of structural brain networks in Primary Open Angle Glaucoma
Cio FD
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020; 2020: 1705-1708
90187 Optic disc and optic cup segmentation based on anatomy guided cascade network
Bian X
Computer Methods and Programs in Biomedicine 2020; 197: 105717
90142 Application of the Sight Outcomes Research Collaborative Ophthalmology Data Repository for Triaging Patients With Glaucoma and Clinic Appointments During Pandemics Such as COVID-19
Bommakanti NK
JAMA ophthalmology 2020; 138: 974-980
89982 Volume of Lateral Geniculate Nucleus in Patients with Glaucoma in 7Tesla MRI
Kosior-Jarecka E
Journal of clinical medicine 2020; 9:
90664 Functional Alterations in Resting-State Visual Networks in High-Tension Glaucoma: An Independent Component Analysis
Wang Y
Frontiers in human neuroscience 2020; 14: 330
90265 Joint disc and cup segmentation based on recurrent fully convolutional network
Gao J
PLoS ONE 2020; 15: e0238983
90692 A Retrospective Comparison of Deep Learning to Manual Annotations for Optic Disc and Optic Cup Segmentation in Fundus Photographs
Fu H
Translational vision science & technology 2020; 9: 33
90039 Deep-learning-based enhanced optic-disc photography
Ha A
PLoS ONE 2020; 15: e0239913
90436 Automated glaucoma screening method based on image segmentation and feature extraction
Guo F
Medical and Biological Engineering and Computing 2020; 58: 2567-2586
89865 Magnetic Resonance Imaging for Glaucoma Evaluation
Gracitelli CPB
Journal of Glaucoma 2020; 29: 622-626
90823 Insights into the growing popularity of artificial intelligence in ophthalmology
Dutt S
Indian Journal of Ophthalmology 2020; 68: 1339-1346
90186 Diffusion Kurtosis Imaging Reveals Optic Tract Damage That Correlates with Clinical Severity in Glaucoma
Sun Z
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020; 2020: 1746-1749
89879 Sample entropy analysis of pupillary signals in glaucoma patients and control via light-induced pupillometry
Bhowmik S
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020; 2020: 280-283
90418 Altered coupling of cerebral blood flow and functional connectivity strength in visual and higher order cognitive cortices in primary open angle glaucoma
Wang Q
Journal of Cerebral Blood Flow and Metabolism 2020; 0: 271678X20935274
90085 Association between metabolic risk factors and optic disc cupping identified by deep learning method
Shin J
PLoS ONE 2020; 15: e0239071
90773 Effect of color information on the diagnostic performance of glaucoma in deep learning using few fundus images
Hirota M
International Ophthalmology 2020; 40: 3013-3022
90363 Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis
Raja H
Journal of digital imaging 2020; 33: 1428-1442
90145 Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression
Xu L
American Journal of Ophthalmology 2020; 218: 304-313
90219 Data-Driven Parcellation Approaches Based on Functional Connectivity of Visual Cortices in Primary Open-Angle Glaucoma
Qu H
Investigative Ophthalmology and Visual Science 2020; 61: 33
90576 The potential application of artificial intelligence for diagnosis and management of glaucoma in adults
Campbell CG
British Medical Bulletin 2020; 134: 21-33
90140 Automatic glaucoma screening using optic nerve head measurements and random forest classifier on fundus images
Bouacheria M
Physical and engineering sciences in medicine 2020; 43: 1265-1277
90742 Altered information flow and microstructure abnormalities of visual cortex in normal-tension glaucoma: Evidence from resting-state fMRI and DKI
Li T
Brain Research 2020; 1741: 146874
90049 Dual-input convolutional neural network for glaucoma diagnosis using spectral-domain optical coherence tomography
Sun S
British Journal of Ophthalmology 2020; 0:

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