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Avinash V Varadarajan

Showing results (1-10 of 10) with videos related to

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Nature Biomedical Engineering|April 25, 2019
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learningRyan Poplin, Avinash V Varadarajan, Katy Blumer, et al.
Nature Biomedical Engineering|December 25, 2019
Detection of anaemia from retinal fundus images via deep learningAkinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Nature Biomedical Engineering|February 14, 2020
Author Correction: Detection of anaemia from retinal fundus images via deep learningAkinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Investigative Ophthalmology & Visual Science|July 20, 2018
Deep Learning for Predicting Refractive Error From Retinal Fundus ImagesAvinash 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 StudyAshish Bora, Richa Tiwari, Pinal Bavishi, et al.
Progress in Retinal and Eye Research|May 4, 2019
Deep learning in ophthalmology: The technical and clinical considerationsDaniel 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 learningAshish 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 learningAvinash 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 studyBoris 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 StudyXinle Liu, Tayyeba K Ali, Preeti Singh, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Nature Biomedical Engineering|April 25, 2019
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learningRyan Poplin, Avinash V Varadarajan, Katy Blumer, et al.
Nature Biomedical Engineering|December 25, 2019
Detection of anaemia from retinal fundus images via deep learningAkinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Nature Biomedical Engineering|February 14, 2020
Author Correction: Detection of anaemia from retinal fundus images via deep learningAkinori Mitani, Abigail Huang, Subhashini Venugopalan, et al.
Investigative Ophthalmology & Visual Science|July 20, 2018
Deep Learning for Predicting Refractive Error From Retinal Fundus ImagesAvinash 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 StudyAshish Bora, Richa Tiwari, Pinal Bavishi, et al.
Progress in Retinal and Eye Research|May 4, 2019
Deep learning in ophthalmology: The technical and clinical considerationsDaniel 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 learningAshish 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 learningAvinash 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 studyBoris 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 StudyXinle Liu, Tayyeba K Ali, Preeti Singh, et al.
Pageof 1