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	1.	Long-Term Recurrent Convolutional Networks for Visual Recognition and Description. [electronic resource] by Donahue, Jeff Hendricks, Lisa Anne Rohrbach, Marcus Venugopalan, Subhashini Guadarrama, Sergio Saenko, Kate Darrell, Trevor Producer: 20181004 In: IEEE transactions on pattern analysis and machine intelligence vol. 39 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	2.	Author Correction: Detection of anaemia from retinal fundus images via deep learning. [electronic resource] by Mitani, Akinori Huang, Abigail Venugopalan, Subhashini Corrado, Greg S Peng, Lily Webster, Dale R Hammel, Naama Liu, Yun Varadarajan, Avinash V Publication details: Nature biomedical engineering Feb 2020 In: Nature biomedical engineering vol. 4 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	3.	Detection of anaemia from retinal fundus images via deep learning. [electronic resource] by Mitani, Akinori Huang, Abigail Venugopalan, Subhashini Corrado, Greg S Peng, Lily Webster, Dale R Hammel, Naama Liu, Yun Varadarajan, Avinash V Producer: 20200505 In: Nature biomedical engineering vol. 4 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	4.	Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. [electronic resource] by Gulshan, Varun Peng, Lily Coram, Marc Stumpe, Martin C Wu, Derek Narayanaswamy, Arunachalam Venugopalan, Subhashini Widner, Kasumi Madams, Tom Cuadros, Jorge Kim, Ramasamy Raman, Rajiv Nelson, Philip C Mega, Jessica L Webster, Dale R Producer: 20170208 In: JAMA vol. 316 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	5.	Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. [electronic resource] by Varadarajan, Avinash V Bavishi, Pinal Ruamviboonsuk, Paisan Chotcomwongse, Peranut Venugopalan, Subhashini Narayanaswamy, Arunachalam Cuadros, Jorge Kanai, Kuniyoshi Bresnick, George Tadarati, Mongkol Silpa-Archa, Sukhum Limwattanayingyong, Jirawut Nganthavee, Variya Ledsam, Joseph R Keane, Pearse A Corrado, Greg S Peng, Lily Webster, Dale R Producer: 20200413 In: Nature communications vol. 11 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	6.	Applying Deep Neural Network Analysis to High-Content Image-Based Assays. [electronic resource] by Yang, Samuel J Lipnick, Scott L Makhortova, Nina R Venugopalan, Subhashini Fan, Minjie Armstrong, Zan Schlaeger, Thorsten M Deng, Liyong Chung, Wendy K O'Callaghan, Liadan Geraschenko, Anton Whye, Dosh Berndl, Marc Hazard, Jon Williams, Brian Narayanaswamy, Arunachalam Ando, D Michael Nelson, Philip Rubin, Lee L Producer: 20200513 In: SLAS discovery : advancing life sciences R & D vol. 24 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)