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6.30 Other (291)
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Display all abstracts in classification 6.30 Other
Search within classification 6.30 Other82868 Disruption of brain network organization in primary open angle glaucoma
Minosse S
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341
82862 Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Hao H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 849-852
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Orlando JI
Medical Image Analysis 2020; 59: 101570
82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Liao W
IEEE journal of biomedical and health informatics 2019; 0:
82390 Fixel-Based Analysis of Visual Pathway White Matter in Primary Open-Angle Glaucoma
Haykal S
Investigative Ophthalmology and Visual Science 2019; 60: 3803-3812
82450 The impact of artificial intelligence in the diagnosis and management of glaucoma
Mayro EL
Eye 2020; 34: 1-11
82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Raghavendra U
Journal of Medical Systems 2019; 43: 299
82875 Glaucoma Assessment from OCT images using Capsule Network
Gaddipati DJ
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 5581-5584
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
81872 Smartphone-based Gonio-Imaging: A Novel Addition to Glaucoma Screening Tools
Kumar N
Journal of Glaucoma 2019; 28: e149-e150
82209 Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning
Zhao R
IEEE journal of biomedical and health informatics 2019; 0:
82826 Hemoglobin Video Imaging Provides Novel In Vivo High-Resolution Imaging and Quantification of Human Aqueous Outflow in Patients with Glaucoma
Khatib TZ
Ophthalmology. Glaucoma 2019; 2: 327-335
82868 Disruption of brain network organization in primary open angle glaucoma
Minosse S
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 4338-4341
82864 Automated Glaucoma Screening from Retinal Fundus Image Using Deep Learning
Phasuk S
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2019; 2019: 904-907
82099 Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis
Zhou W
Medical and Biological Engineering and Computing 2019; 57: 2055-2067
82452 Smartphone use in ophthalmology: What is their place in clinical practice?
Hogarty DT
Survey of Ophthalmology 2020; 65: 250-262
81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Rogers TW
Eye 2019; 33: 1791-1797
82707 Potential Impact of DARC Technology in Neuroprotective Therapies
Pahlitzsch M
Klinische Monatsblätter für Augenheilkunde 2020; 237: 140-142
82109 Variance components for PIMD-2π estimation of the optic nerve head and consequences in clinical measurements of glaucoma
Sandberg Melin C
Acta Ophthalmologica 2020; 98: 190-194
82788 Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Christopher M
Ophthalmology 2020; 127: 346-356
81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Li L
IEEE Transactions on Medical Imaging 2020; 39: 413-424
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
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
82683 Morphological prediction of glaucoma by quantitative analyses of ocular shape and volume using 3-dimensional T2-weighted MR images
Tatewaki Y
Scientific reports 2019; 9: 15148
82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Hemelings R
Acta Ophthalmologica 2020; 98: e94-e100
