Research graph
References from Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
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The worldwide epidemic of diabetic retinopathy
10.4103/0301-4738.100542 · 2012 · External reference
Diabetic retinopathy—ocular complications of diabetes mellitus
10.4239/wjd.v6.i3.489 · 2015 · External reference
The relationship of macular microcirculation to visual acuity in diabetic patients
10.1001/archopht.1995.01100050078034 · 1995 · External reference
Visual acuity is correlated with the area of the foveal avascular zone in diabetic retinopathy and retinal vein occlusion
10.1016/j.ophtha.2016.07.008 · 2016 · External reference
Imaging in diabetic retinopathy
10.4103/0974-9233.151887 · 2015 · External reference
Optical coherence tomography based angiography
10.1364/boe.8.001056 · 2017 · External reference
Optical coherence tomography angiography: a comprehensive review of current methods and clinical applications
10.1016/j.preteyeres.2017.07.002 · 2017 · External reference
Machine learning in medicine
10.1056/nejmra1814259 · 2019 · External reference
Deep learning in glaucoma with optical coherence tomography: a review
10.1038/s41433-020-01191-5 · 2021 · External reference
Artificial intelligence and deep learning in ophthalmology
10.1136/bjophthalmol-2018-313173 · 2019 · External reference
Insights into systemic disease through retinal imaging-based oculomics
10.1167/tvst.9.2.6 · 2020 · External reference
Artificial intelligence in retina
10.1016/j.preteyeres.2018.07.004 · 2018 · External reference
Unresolved reference
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10.1167/tvst.9.2.38
10.1167/tvst.9.2.38 · External reference
Ensemble deep learning for diabetic retinopathy detection using optical coherence tomography angiography
10.1167/tvst.9.2.20 · 2020 · External reference
DcardNet: diabetic retinopathy classification at multiple levels based on structural and angiographic optical coherence tomography
10.1109/tbme.2020.3027231 · 2021 · External reference
Deep learning models for COVID-19 chest x-ray classification: preventing shortcut learning using feature disentanglement
2021 · External reference
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
10.1038/s41598-020-69250-1 · 2020 · External reference
Unresolved reference
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The future of digital health with federated learning
10.1038/s41746-020-00323-1 · 2020 · External reference
Unresolved reference
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Unresolved reference
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10.1109/sp.2019.00065
10.1109/sp.2019.00065 · External reference
10.1007/978-3-030-63076-8_2
10.1007/978-3-030-63076-8_2 · External reference
A collaborative online AI engine for CT-based COVID-19 diagnosis
2020 · External reference
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
10.1016/j.media.2021.101992 · 2021 · External reference
Federated learning of electronic health records to improve mortality prediction in hospitalized patients with COVID-19: machine learning approach
10.2196/24207 · 2021 · External reference
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results
10.1016/j.media.2020.101765 · 2020 · External reference
Model-to-data approach for deep learning in optical coherence tomography intraretinal fluid segmentation
10.1001/jamaophthalmol.2020.2769 · 2020 · External reference
Unresolved reference
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Evaluating signs of microangiopathy secondary to diabetes in different areas of the retina with swept source OCTA
10.1167/iovs.61.5.8 · 2020 · External reference
Development and validation of a deep learning algorithm for distinguishing the nonperfusion area from signal reduction artifacts on OCT angiography
10.1364/boe.10.003257 · 2019 · External reference
