Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification

Autor: Huseljic, Denis, Hahn, Paul, Herde, Marek, Rauch, Lukas, Sick, Bernhard

Deep active learning (AL) seeks to minimize the annotation costs for training deep neural networks. BAIT, a recently proposed AL strategy based on the Fisher Information, has demonstrated impressive performance across various datasets. However, BAIT'

Externí odkaz: http://arxiv.org/abs/2404.08981

ReCLAIM-2: A Randomized Phase II Clinical Trial Evaluating Elamipretide in Age-related Macular Degeneration, Geographic Atrophy Growth, Visual Function, and Ellipsoid Zone Preservation

Autor: Abraham, Prema, Devine, Christopher, Schadlu, Anita, Novalis, George, Kunimoto, Derek Y., Parchue, John, Moon, Suk Jin, Segal, Zachary, Marcus, Dennis, Hahn, Paul, Suan, Eric, Lee, Michael, Gonzalez, Victor, Samuel, Michael A., Patel, Sunil, Williams, Patrick, Berger, Brian B., Kwong, Henry, Pieramici, Dante, Schneider, Eric W., Shildkrot, Yevgeniy, Witmer, Mathew T., Steinle, Nathan, Gordon, Carmelina, Learned, Daniel, Higgins, Patrick, Pattar, Guruprasad, Khetpal, Vijay, Ross, Robin, Barakat, Mark R., Lee Sjatkowski, Sun Young, Lally, David, Becker, Troy, Ehlers, Justis P., Hu, Allen, Boyer, David, Cousins, Scott W., Waheed, Nadia K., Rosenfeld, Philip J., Brown, David, Kaiser, Peter K., Abbruscato, Anthony, Gao, Gui, Heier, Jeffrey

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Real-Time Volumetric Imaging of Vitreoretinal Surgery with a Prototype Microscope-Integrated Swept-Source OCT Device

Autor: Seider, Michael I., Carrasco-Zevallos, Oscar M., Gunther, Randall, Viehland, Christian, Keller, Brenton, Shen, Liangbo, Hahn, Paul, Mahmoud, Tamer H., Dandridge, Alexandria, Izatt, Joseph A., Toth, Cynthia A.

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