ArticleBiomedical optics express2018
MEDnet, a neural network for automated detection of avascular area in OCT angiography.
Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
What it found
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The trial behind it
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Who cites it
53 citing papers in PubMed, 96 citations in OpenAlex.
- Automated Volumetric Segmentation of Microaneurysms on OCT Using Artificial Intelligence.ArXiv · 2026Article
- Automated Segmentation and Characterization of Retinal Hyperreflective Foci in Age-Related Macular Degeneration.Translational vision science & technology · 2026Article
- Automated Nonperfusion Quantification in Diabetic Retinopathy on Ultra-Widefield Swept-Source OCT Angiography.Ophthalmology science · 2026Article
- AI-aided segmentation of four types of drusen in volumetric OCT.Biomedical optics express · 2025Article
- Wide-field OCTA quantified peripheral nonperfusion areas predict the risk of subclinical neovascularization.Eye (London, England) · 2025Article
- Nonperfused Retinal Capillaries-A New Method Developed on OCT and OCTA.Investigative ophthalmology & visual science · 2025Article
- Artificial Intelligence Versus Rules-Based Approach for Segmenting NonPerfusion Area in a DRCR Retina Network Optical Coherence Tomography Angiography Dataset.Investigative ophthalmology & visual science · 2025Article
- FLA-UNet: feature-location attention U-Net for foveal avascular zone segmentation in OCTA images.Frontiers in artificial intelligence · 2025Article
- Multi-Plexus Nonperfusion Area Segmentation in Widefield OCT Angiography Using a Deep Convolutional Neural Network.Translational vision science & technology · 2024Article
- OCTA-based AMD Stage Grading Enhancement via Class-Conditioned Style Transfer.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images.Patterns (New York, N.Y.) · 2024Article
- VMseg: Using spatial variance to automatically segment retinal non-perfusion on OCT-angiography.PloS one · 2024Article
- Optical coherence tomography angiography in diabetic retinopathy.Progress in retinal and eye research · 2023Review
- An artificial intelligence system for the whole process from diagnosis to treatment suggestion of ischemic retinal diseases.Cell reports. Medicine · 2023Article
- Robust AMD Stage Grading with Exclusively OCTA Modality Leveraging 3D Volume.... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision · 2023Article
- OCT angiography and its retinal biomarkers [Invited].Biomedical optics express · 2023Review
- Optical coherence tomography angiography: a review of the current literature.The Journal of international medical research · 2023Review
- Foveal avascular zone segmentation using deep learning-driven image-level optimization and fundus photographs.Proceedings. IEEE International Symposium on Biomedical Imaging · 2023Article
- Reverse translation of artificial intelligence in glaucoma: Connecting basic science with clinical applications.Frontiers in ophthalmology · 2023Article
- Deep learning-based signal-independent assessment of macular avascular area on 6×6 mm optical coherence tomography angiogram in diabetic retinopathy: a comparison to instrument-embedded software.The British journal of ophthalmology · 2023Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Screening and assessing diabetic retinopathy (DR) are essential for reducing morbidity associated with diabetes. Macular ischemia is known to correlate with the severity of retinopathy. Recent studies have shown that optical coherence tomography angiography (OCTA), with intrinsic contrast from blood flow motion, is well suited for quantified analysis of the avascular area, which is potentially a useful biomarker in DR. In this study, we propose the first deep learning solution to segment the avascular area in OCTA of DR. The network design consists of a multi-scaled encoder-decoder neural network (MEDnet) to detect the non-perfusion area in 6 × 6 mm
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.