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Subhashini Venugopalan

Showing results (1-10 of 13) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|September 9, 2016
Long-Term Recurrent Convolutional Networks for Visual Recognition and DescriptionJeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.
NPJ Digital Medicine|April 9, 2022
A machine-learning based objective measure for ALS disease severityFernando G Vieira, Subhashini Venugopalan, Alan S Premasiri, 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.
Bioinformatics (Oxford, England)|December 31, 2020
Batch equalization with a generative adversarial networkWesley Wei Qian, Cassandra Xia, Subhashini Venugopalan, et al.
JAMA|November 30, 2016
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus PhotographsVarun Gulshan, Lily Peng, Marc Coram, 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|November 2, 2024
Using large language models to accelerate communication for eye gaze typing users with ALSShanqing Cai, Subhashini Venugopalan, Katie Seaver, 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.
SLAS Discovery : Advancing Life Sciences R & D|July 10, 2019
Applying Deep Neural Network Analysis to High-Content Image-Based AssaysSamuel J Yang, Scott L Lipnick, Nina R Makhortova, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 9, 2016
Long-Term Recurrent Convolutional Networks for Visual Recognition and DescriptionJeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.
NPJ Digital Medicine|April 9, 2022
A machine-learning based objective measure for ALS disease severityFernando G Vieira, Subhashini Venugopalan, Alan S Premasiri, 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.
Bioinformatics (Oxford, England)|December 31, 2020
Batch equalization with a generative adversarial networkWesley Wei Qian, Cassandra Xia, Subhashini Venugopalan, et al.
JAMA|November 30, 2016
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus PhotographsVarun Gulshan, Lily Peng, Marc Coram, 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|November 2, 2024
Using large language models to accelerate communication for eye gaze typing users with ALSShanqing Cai, Subhashini Venugopalan, Katie Seaver, 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.
SLAS Discovery : Advancing Life Sciences R & D|July 10, 2019
Applying Deep Neural Network Analysis to High-Content Image-Based AssaysSamuel J Yang, Scott L Lipnick, Nina R Makhortova, et al.
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