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HaagStreit

6.30 Other (290)

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82491 Resting-state functional magnetic resonance study of primary open-angle glaucoma based on voxelwise brain network degree centrality
Zhang Q
Neuroscience Letters 2019; 712: 134500
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
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
82400 Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs
Liu H
JAMA ophthalmology 2019; 0:
81723 Optic Nerve Tortuosity and Globe Proptosis in Normal and Glaucoma Subjects
Wang X
Journal of Glaucoma 2019; 28: 691-696
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
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
82023 Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Bajwa MN
BMC Medical Informatics and Decision Making 2019; 19: 136
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
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
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
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
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
82108 A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images
Raghavendra U
Journal of Medical Systems 2019; 43: 299
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Orlando JI
Medical Image Analysis 2020; 59: 101570
81895 Smartphone-aided Quantification of Iridocorneal Angle
Pujari A
Journal of Glaucoma 2019; 28: e153-e155
82733 Using soft computing techniques to diagnose Glaucoma disease
Al-Akhras M
Journal of infection and public health 2019; 0:
82648 Joint optic disc and cup segmentation using semi-supervised conditional GANs
Liu S
Computers in Biology and Medicine 2019; 115: 103485
82450 The impact of artificial intelligence in the diagnosis and management of glaucoma
Mayro EL
Eye 2020; 34: 1-11
82099 Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis
Zhou W
Medical and Biological Engineering and Computing 2019; 57: 2055-2067
81872 Smartphone-based Gonio-Imaging: A Novel Addition to Glaucoma Screening Tools
Kumar N
Journal of Glaucoma 2019; 28: e149-e150
82691 Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Liao W
IEEE journal of biomedical and health informatics 2019; 0:
82088 Network-based features for retinal fundus vessel structure analysis
Amil P
PLoS ONE 2019; 14: e0220132
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
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

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