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Ophthalmology and Therapy, 2019
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Detection of Dry and Wet Age-Related Macular Degeneration Using Deep Learning
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Advances in Intelligent Systems Research, 2022
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Development of a Deep-Learning-Based Artificial Intelligence Tool for Differential Diagnosis between Dry and Neovascular Age-Related Macular Degeneration
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Diagnostics, 2020
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The Classification of Common Macular Diseases Using Deep Learning on Optical Coherence Tomography Images with and without Prior Automated Segmentation
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Diagnostics
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IJERT-Detection of Age -Related Macular Degeneration using Deep Learning
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International Journal of Engineering Research and Technology (IJERT), 2020
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Automated Detection of Macular Diseases by Optical Coherence Tomography and Artificial Intelligence Machine Learning of Optical Coherence Tomography Images
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Predicting risk of late age-related macular degeneration using deep learning
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Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs
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Investigative Ophthalmology & Visual Science, 2019
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Deep learning to infer visual acuity from optical coherence tomography in diabetic macular edema
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Frontiers in Medicine
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Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography
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Scientific Reports, 2021
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DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
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Automatic Detection of AMD and DME Retinal Pathologies Using Deep Learning
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International Journal of Biomedical Imaging
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Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
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Nature Communications
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Developing a Machine-Learning Algorithm to Diagnose Age-Related Macular Degeneration
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Prediction of treatment outcome in neovascular age-related macular degeneration using a novel convolutional neural network
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Development and validation of a deep learning algorithm for the detection of neovascular age-related macular degeneration from color fundus photographs
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Clinical & Experimental Ophthalmology
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Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography
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Scientific Reports, 2021
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Prediction of Activity in Eyes with Macular Neovascularization Due to Age-related Macular Degeneration Using Deep Learning
Ayesha N.Karamat
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Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography
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Computer Methods and Programs in Biomedicine, 2019
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Deep-learning based, automated segmentation of macular edema in optical coherence tomography
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Biomedical optics express, 2017
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Fusing Results of Several Deep Learning Architectures for Automatic Classification of Normal and Diabetic Macular Edema in Optical Coherence Tomography
Genevieve Chan
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2018
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Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images
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Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images, 2024
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Assessing central serous chorioretinopathy with deep learning and multiple optical coherence tomography images
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A multi-task deep learning model for the classification of Age-related Macular Degeneration
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Retinal Disease Classification from OCT Images Using Deep Learning Algorithms
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2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2021
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Use of a Neural Net to Model the Impact of Optical Coherence Tomography Abnormalities on Vision in Age-Related Macular Degeneration
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American journal of ophthalmology, 2017
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Clinically applicable deep learning for diagnosis and referral in retinal disease
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Nature Medicine, 2018
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Performance evaluation of various deep learning based models for effective glaucoma evaluation using optical coherence tomography images
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Age-related Macular Degeneration Detection using Deep Convolutional Neural Network
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Hybrid Deep Learning on Single Wide-field Optical Coherence Tomography Scans Accurately Classifies Glaucoma Suspects
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