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Jonathan Krause

Showing results (1-10 of 16) with videos related to

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Organic Letters|June 15, 2007
Inverse-electron-demand hetero-Diels-Alder reaction of beta,gamma-unsaturated alpha-ketophosphonates catalyzed by prolinal dithioacetalsSampak Samanta, Jonathan Krause, Tanmay Mandal, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 10, 2016
Leveraging the Wisdom of the Crowd for Fine-Grained RecognitionJia Deng, Jonathan Krause, Michael Stark, et al.
JAMA|November 13, 2019
How to Read Articles That Use Machine Learning: Users' Guides to the Medical LiteratureYun Liu, Po-Hsuan Cameron Chen, Jonathan Krause, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 30, 2017
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United StatesTimnit Gebru, Jonathan Krause, Yilun Wang, et al.
Ophthalmology|March 18, 2018
Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic RetinopathyJonathan Krause, Varun Gulshan, Ehsan Rahimy, et al.
Nature Medicine|October 22, 2024
Safety principles for medical summarization using generative AIDillon Obika, Christopher Kelly, Nicola Ding, et al.
Nature Medicine|May 29, 2023
Lessons learned from translating AI from development to deployment in healthcareKasumi Widner, Sunny Virmani, Jonathan Krause, et al.
Translational Vision Science & Technology|December 24, 2019
Remote Tool-Based Adjudication for Grading Diabetic RetinopathyMike Schaekermann, Naama Hammel, Michael Terry, et al.
JAMA Network Open|March 19, 2025
Performance of a Deep Learning Diabetic Retinopathy Algorithm in IndiaArthur Brant, Preeti Singh, Xiang Yin, et al.
Ophthalmology|December 17, 2018
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic RetinopathyRory Sayres, Ankur Taly, Ehsan Rahimy, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Organic Letters|June 15, 2007
Inverse-electron-demand hetero-Diels-Alder reaction of beta,gamma-unsaturated alpha-ketophosphonates catalyzed by prolinal dithioacetalsSampak Samanta, Jonathan Krause, Tanmay Mandal, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 10, 2016
Leveraging the Wisdom of the Crowd for Fine-Grained RecognitionJia Deng, Jonathan Krause, Michael Stark, et al.
JAMA|November 13, 2019
How to Read Articles That Use Machine Learning: Users' Guides to the Medical LiteratureYun Liu, Po-Hsuan Cameron Chen, Jonathan Krause, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 30, 2017
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United StatesTimnit Gebru, Jonathan Krause, Yilun Wang, et al.
Ophthalmology|March 18, 2018
Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic RetinopathyJonathan Krause, Varun Gulshan, Ehsan Rahimy, et al.
Nature Medicine|October 22, 2024
Safety principles for medical summarization using generative AIDillon Obika, Christopher Kelly, Nicola Ding, et al.
Nature Medicine|May 29, 2023
Lessons learned from translating AI from development to deployment in healthcareKasumi Widner, Sunny Virmani, Jonathan Krause, et al.
Translational Vision Science & Technology|December 24, 2019
Remote Tool-Based Adjudication for Grading Diabetic RetinopathyMike Schaekermann, Naama Hammel, Michael Terry, et al.
JAMA Network Open|March 19, 2025
Performance of a Deep Learning Diabetic Retinopathy Algorithm in IndiaArthur Brant, Preeti Singh, Xiang Yin, et al.
Ophthalmology|December 17, 2018
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic RetinopathyRory Sayres, Ankur Taly, Ehsan Rahimy, et al.
Pageof 2