J
Jorge Cuadros
Researcher at University of California, Berkeley
Publications - 38
Citations - 5732
Jorge Cuadros is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Diabetic retinopathy & Diabetes mellitus. The author has an hindex of 11, co-authored 31 publications receiving 3930 citations. Previous affiliations of Jorge Cuadros include Vision-Sciences, Inc..
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Journal ArticleDOI
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan,Lily Peng,Marc Coram,Martin C. Stumpe,Derek Wu,Arunachalam Narayanaswamy,Subhashini Venugopalan,Kasumi Widner,Tom Madams,Jorge Cuadros,Ramasamy Kim,Rajiv Raman,Philip C. Nelson,Jessica L. Mega,Dale R. Webster +14 more
TL;DR: An algorithm based on deep machine learning had high sensitivity and specificity for detecting referable diabetic retinopathy and diabetic macular edema in retinal fundus photographs from adults with diabetes.
Journal ArticleDOI
EyePACS: An Adaptable Telemedicine System for Diabetic Retinopathy Screening
Jorge Cuadros,George H. Bresnick +1 more
TL;DR: The use of license-free Web-based software, standard interfaces, and flexible protocols has allowed primary care providers to adopt retinopathy screening with minimal effort and resources.
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Predicting the risk of developing diabetic retinopathy using deep learning
Ashish Bora,Siva Balasubramanian,Boris Babenko,Sunny Virmani,Subhashini Venugopalan,Akinori Mitani,Guilherme de Oliveira Marinho,Jorge Cuadros,Paisan Ruamviboonsuk,Greg S. Corrado,Lily Peng,Dale R. Webster,Avinash V. Varadarajan,Naama Hammel,Yun Liu,Pinal Bavishi +15 more
TL;DR: In this article, two versions of a deep-learning system were used to predict the development of diabetic retinopathy in patients with diabetes who had had teleretinal DRS screening in a primary care setting.
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The Value of Automated Diabetic Retinopathy Screening with the EyeArt System: A Study of More Than 100,000 Consecutive Encounters from People with Diabetes
Malavika Bhaskaranand,Chaithanya Ramachandra,Sandeep Bhat,Jorge Cuadros,Muneeswar Gupta Nittala,Srinivas R. Sadda,Kaushal Solanki +6 more
TL;DR: The value of the EyeArt system as an easy-to-use, automated tool for endocrinologists, diabetologists, and general practitioners to address the growing need for DR screening and monitoring is demonstrated.
Journal ArticleDOI
Automated Diabetic Retinopathy Screening and Monitoring Using Retinal Fundus Image Analysis
Malavika Bhaskaranand,Chaithanya Ramachandra,Sandeep Bhat,Jorge Cuadros,Muneeswar Gupta Nittala,Srinivas R. Sadda,Kaushal Solanki +6 more
TL;DR: An automated DR screening tool and extended it for automated estimation of microaneurysm (MA) turnover, a potential biomarker for DR risk, have the potential to address the growing need for DR screening and monitoring, thereby saving vision of millions of diabetic patients worldwide.