Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs von 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

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Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning von 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.

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Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy von Sayres, Rory, Taly, Ankur, Rahimy, Ehsan, Blumer, Katy, Coz, David, Hammel, Naama, Krause, Jonathan, Narayanaswamy, Arunachalam, Rastegar, Zahra, Wu, Derek, Xu, Shawn, Barb, Scott, Joseph, Anthony, Shumski, Michael, Smith, Jesse, Sood, Arjun B., Corrado, Greg S., Peng, Lily, Webster, Dale R.

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Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts von Schiff, Lauren, Migliori, Bianca, Chen, Ye, Carter, Deidre, Bonilla, Caitlyn, Hall, Jenna, Fan, Minjie, Tam, Edmund, Ahadi, Sara, Fischbacher, Brodie, Geraschenko, Anton, Hunter, Christopher J., Venugopalan, Subhashini, DesMarteau, Sean, Narayanaswamy, Arunachalam, Jacob, Selwyn, Armstrong, Zan, Ferrarotto, Peter, Williams, Brian, Buckley-Herd, Geoff, Hazard, Jon, Goldberg, Jordan, Coram, Marc, Otto, Reid, Baltz, Edward A., Andres-Martin, Laura, Pritchard, Orion, Duren-Lubanski, Alyssa, Daigavane, Ameya, Reggio, Kathryn, Nelson, Phillip C., Frumkin, Michael, Solomon, Susan L., Bauer, Lauren, Aiyar, Raeka S., Schwarzbach, Elizabeth, Noggle, Scott A., Monsma, Frederick J., Paull, Daniel, Berndl, Marc, Yang, Samuel J., Johannesson, Bjarki

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Assessing microscope image focus quality with deep learning von Yang, Samuel J, Berndl, Marc, Michael Ando, D, Barch, Mariya, Narayanaswamy, Arunachalam, Christiansen, Eric, Hoyer, Stephan, Roat, Chris, Hung, Jane, Rueden, Curtis T, Shankar, Asim, Finkbeiner, Steven, Nelson, Philip

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A Broadly Applicable 3-D Neuron Tracing Method Based on Open-Curve Snake von Wang, Yu, Narayanaswamy, Arunachalam, Tsai, Chia-Ling, Roysam, Badrinath

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Scientific Discovery by Generating Counterfactuals Using Image Translation von Narayanaswamy, Arunachalam, Venugopalan, Subhashini, Webster, Dale R., Peng, Lily, Corrado, Greg S., Ruamviboonsuk, Paisan, Bavishi, Pinal, Brenner, Michael, Nelson, Philip C., Varadarajan, Avinash V.

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Associative image analysis: A method for automated quantification of 3D multi-parameter images of brain tissue von Bjornsson, Christopher S., Lin, Gang, Al-Kofahi, Yousef, Narayanaswamy, Arunachalam, Smith, Karen L., Shain, William, Roysam, Badrinath

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Evolving symbolic density functionals von Ma, He, Narayanaswamy, Arunachalam, Riley, Patrick, Li, Li

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Applying Deep Neural Network Analysis to High-Content Image-Based Assays von 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.

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Evolving symbolic density functionals von He, Ma, Arunachalam Narayanaswamy, Riley, Patrick, Li, Li

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Batch equalization with a generative adversarial network von Qian, Wesley Wei, Xia, Cassandra, Venugopalan, Subhashini, Narayanaswamy, Arunachalam, Dimon, Michelle, Ashdown, George W, Baum, Jake, Peng, Jian, Ando, D Michael

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3-D Image Pre-processing Algorithms for Improved Automated Tracing of Neuronal Arbors von Narayanaswamy, Arunachalam, Wang, Yu, Roysam, Badrinath

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The FARSIGHT Trace Editor: An Open Source Tool for 3-D Inspection and Efficient Pattern Analysis Aided Editing of Automated Neuronal Reconstructions von Luisi, Jonathan, Narayanaswamy, Arunachalam, Galbreath, Zachary, Roysam, Badrinath

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Robust Adaptive 3-D Segmentation of Vessel Laminae From Fluorescence Confocal Microscope Images and Parallel GPU Implementation von Narayanaswamy, A., Dwarakapuram, S., Bjornsson, C.S., Cutler, B.M., Shain, W., Roysam, B.

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Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning von Varadarajan, Avinash, Pinal Bavishi, Raumviboonsuk, Paisan, Chotcomwongse, Peranut, Venugopalan, Subhashini, Arunachalam Narayanaswamy, Cuadros, Jorge, Kanai, Kuniyoshi, Bresnick, George, Tadarati, Mongkol, Silpa-archa, Sukhum, Limwattanayingyong, Jirawut, Nganthavee, Variya, Ledsam, Joe, Keane, Pearse A, Corrado, Greg S, Peng, Lily, Webster, Dale R

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Applying Deep Neural Network Analysis to High-Content Image-Based Assays von 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.

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Novel 4-D Open-Curve Active Contour and curve completion approach for automated tree structure extraction von Yu Wang, Narayanaswamy, A., Roysam, B.

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EXPLANATION OF MACHINE-LEARNED MODELS USING IMAGE TRANSLATION von Varadarajan, Avinash Vaidyanathan, Narayanaswamy, Arunachalam, Venugopalan, Subhashini

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EXPLANATION OF MACHINE-LEARNED MODELS USING IMAGE TRANSLATION von VARADARAJAN, Avinash Vaidyanathan, VENUGOPALAN, Subhashini, NARAYANASWAMY, Arunachalam

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