Adaptive color display via perceptually-driven factored spectral projection von Kauvar, Isaac, Yang, Samuel J., Shi, Liang, McDowall, Ian, Wetzstein, Gordon

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In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images von Christiansen, Eric M., Yang, Samuel J., Ando, D. Michael, Javaherian, Ashkan, Skibinski, Gaia, Lipnick, Scott, Mount, Elliot, O’Neil, Alison, Shah, Kevan, Lee, Alicia K., Goyal, Piyush, Fedus, William, Poplin, Ryan, Esteva, Andre, Berndl, Marc, Rubin, Lee L., Nelson, Philip, Finkbeiner, Steven

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Global Representations of Goal-Directed Behavior in Distinct Cell Types of Mouse Neocortex von Allen, William E., Kauvar, Isaac V., Chen, Michael Z., Richman, Ethan B., Yang, Samuel J., Chan, Ken, Gradinaru, Viviana, Deverman, Benjamin E., Luo, Liqun, Deisseroth, Karl

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Neuronal Dynamics Regulating Brain and Behavioral State Transitions von Andalman, Aaron S., Burns, Vanessa M., Lovett-Barron, Matthew, Broxton, Michael, Poole, Ben, Yang, Samuel J., Grosenick, Logan, Lerner, Talia N., Chen, Ritchie, Benster, Tyler, Mourrain, Philippe, Levoy, Marc, Rajan, Kanaka, Deisseroth, Karl

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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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Discovery of complex oxides via automated experiments and data science von Yang, Lusann, Haber, Joel A., Armstrong, Zan, Yang, Samuel J., Kan, Kevin, Zhou, Lan, Richter, Matthias H., Roat, Christopher, Wagner, Nicholas, Coram, Marc, Berndl, Marc, Riley, Patrick, Gregoire, John M.

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Simultaneous fast measurement of circuit dynamics at multiple sites across the mammalian brain von Kim, Christina K, Yang, Samuel J, Pichamoorthy, Nandini, Young, Noah P, Kauvar, Isaac, Jennings, Joshua H, Lerner, Talia N, Berndt, Andre, Lee, Soo Yeun, Ramakrishnan, Charu, Davidson, Thomas J, Inoue, Masatoshi, Bito, Haruhiko, Deisseroth, Karl

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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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Extended field-of-view and increased-signal 3D holographic illumination with time-division multiplexing von Yang, Samuel J, Allen, William E, Kauvar, Isaac, Andalman, Aaron S, Young, Noah P, Kim, Christina K, Marshel, James H, Wetzstein, Gordon, Deisseroth, Karl

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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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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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Discovery of complex oxides via automated experiments and data science von Yang, Lusann, Haber, Joel A., Armstrong, Zan, Yang, Samuel J., Kan, Kevin, Zhou, Lan, Richter, Matthias H., Roat, Christopher, Wagner, Nicholas, Coram, Marc, Berndl, Marc, Riley, Patrick, Gregoire, John M.

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Accurate Prediction of Experimental Band Gaps from Large Language Model-Based Data Extraction von Yang, Samuel J, Li, Shutong, Venugopalan, Subhashini, Tshitoyan, Vahe, Aykol, Muratahan, Merchant, Amil, Cubuk, Ekin Dogus, Cheon, Gowoon

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Speech Intelligibility Classifiers from 550k Disordered Speech Samples von Venugopalan, Subhashini, Tobin, Jimmy, Yang, Samuel J, Seaver, Katie, Cave, Richard J. N, Jiang, Pan-Pan, Zeghidour, Neil, Heywood, Rus, Green, Jordan, Brenner, Michael P

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Accurate Prediction of Experimental Band Gaps from Large Language Model-Based Data Extraction von Yang, Samuel J, Li, Shutong, Venugopalan, Subhashini, Tshitoyan, Vahe, Aykol, Muratahan, Merchant, Amil, Cubuk, Ekin Dogus, Cheon, Gowoon

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Physics-enhanced machine learning for virtual fluorescence microscopy von Cooke, Colin L, Kong, Fanjie, Chaware, Amey, Zhou, Kevin C, Kim, Kanghyun, Xu, Rong, Ando, D. Michael, Yang, Samuel J, Konda, Pavan Chandra, Horstmeyer, Roarke

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Correcting Nuisance Variation using Wasserstein Distance von Tabak, Gil, Fan, Minjie, Yang, Samuel J, Hoyer, Stephan, Davis, Geoff

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Speech Intelligibility Classifiers from 550k Disordered Speech Samples von Venugopalan, Subhashini, Tobin, Jimmy, Yang, Samuel J, Seaver, Katie, Cave, Richard J N, Pan-Pan, Jiang, Zeghidour, Neil, Heywood, Rus, Green, Jordan, Brenner, Michael P

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Discovery of complex oxides via automated experiments and data science von Yang, Lusann, Haber, Joel, Armstrong, Zan, Yang, Samuel J., Kan, Kevin, Zhou, Lan, Richter, Matthias H., Roat, Christopher, Wagner, Nicholas, Coram, Marc, Berndl, Marc, Riley, Patrick, Gregoire, John M.

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Correcting Nuisance Variation using Wasserstein Distance von Tabak, Gil, Fan, Minjie, Yang, Samuel J, Hoyer, Stephan, Davis, Geoff

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