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Nature Biomedical Engineering
|
April 25, 2019
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
Ryan Poplin, Avinash V Varadarajan, Katy Blumer, et al.
Nature Biomedical Engineering
|
December 25, 2019
Detection of anaemia from retinal fundus images via deep learning
Akinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Nature Biomedical Engineering
|
February 14, 2020
Author Correction: Detection of anaemia from retinal fundus images via deep learning
Akinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Investigative Ophthalmology & Visual Science
|
July 20, 2018
Deep Learning for Predicting Refractive Error From Retinal Fundus Images
Avinash V Varadarajan, Ryan Poplin, Katy Blumer, et al.
Translational Vision Science & Technology
|
December 11, 2023
Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study
Ashish Bora, Richa Tiwari, Pinal Bavishi, et al.
Progress in Retinal and Eye Research
|
May 4, 2019
Deep learning in ophthalmology: The technical and clinical considerations
Daniel S W Ting, Lily Peng, Avinash V Varadarajan, et al.
The Lancet. Digital Health
|
March 18, 2021
Predicting the risk of developing diabetic retinopathy using deep learning
Ashish Bora, Siva Balasubramanian, Boris Babenko, et al.
Nature Communications
|
January 9, 2020
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
Avinash V Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, et al.
The Lancet. Digital Health
|
March 25, 2023
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study
Boris Babenko, Ilana Traynis, Christina Chen, et al.
Ophthalmology. Retina
|
January 9, 2022
Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation Study
Xinle Liu, Tayyeba K Ali, Preeti Singh, et al.
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of 1
Search research articles
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Showing results (1-10 of 10) with videos related to
Sort By:
Page
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Nature Biomedical Engineering
|
April 25, 2019
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
Ryan Poplin, Avinash V Varadarajan, Katy Blumer, et al.
Nature Biomedical Engineering
|
December 25, 2019
Detection of anaemia from retinal fundus images via deep learning
Akinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Nature Biomedical Engineering
|
February 14, 2020
Author Correction: Detection of anaemia from retinal fundus images via deep learning
Akinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Investigative Ophthalmology & Visual Science
|
July 20, 2018
Deep Learning for Predicting Refractive Error From Retinal Fundus Images
Avinash V Varadarajan, Ryan Poplin, Katy Blumer, et al.
Translational Vision Science & Technology
|
December 11, 2023
Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study
Ashish Bora, Richa Tiwari, Pinal Bavishi, et al.
Progress in Retinal and Eye Research
|
May 4, 2019
Deep learning in ophthalmology: The technical and clinical considerations
Daniel S W Ting, Lily Peng, Avinash V Varadarajan, et al.
The Lancet. Digital Health
|
March 18, 2021
Predicting the risk of developing diabetic retinopathy using deep learning
Ashish Bora, Siva Balasubramanian, Boris Babenko, et al.
Nature Communications
|
January 9, 2020
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
Avinash V Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, et al.
The Lancet. Digital Health
|
March 25, 2023
A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study
Boris Babenko, Ilana Traynis, Christina Chen, et al.
Ophthalmology. Retina
|
January 9, 2022
Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation Study
Xinle Liu, Tayyeba K Ali, Preeti Singh, et al.
Page
of 1