Search Results - Stein, Anouk

Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization by Filice, Ross W., Stein, Anouk, Pan, Ian, Shih, George

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Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia by Shih, George, Wu, Carol C., Halabi, Safwan S., Kohli, Marc D., Prevedello, Luciano M., Cook, Tessa S., Sharma, Arjun, Amorosa, Judith K., Arteaga, Veronica, Galperin-Aizenberg, Maya, Gill, Ritu R., Godoy, Myrna C.B., Hobbs, Stephen, Jeudy, Jean, Laroia, Archana, Shah, Palmi N., Vummidi, Dharshan, Yaddanapudi, Kavitha, Stein, Anouk

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CLiP, catheter and line position dataset by Tang, Jennifer S. N., Seah, Jarrel C. Y., Zia, Adil, Gajera, Jay, Schlegel, Richard N., Wong, Aaron J. N., Gai, Dayu, Su, Shu, Bose, Tony, Kok, Marcus L., Jarema, Alex, Harisis, George N., Cheng, Chris-Tin, Kavnoudias, Helen, Wang, Wayland, Stein, Anouk, Shih, George, Gaillard, Frank, Dixon, Andrew, Law, Meng

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Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset by Filice, Ross W., Stein, Anouk, Wu, Carol C., Arteaga, Veronica A., Borstelmann, Stephen, Gaddikeri, Ramya, Galperin-Aizenberg, Maya, Gill, Ritu R., Godoy, Myrna C., Hobbs, Stephen B., Jeudy, Jean, Lakhani, Paras C., Laroia, Archana, Nayak, Sundeep M., Parekh, Maansi R., Prasanna, Prasanth, Shah, Palmi, Vummidi, Dharshan, Yaddanapudi, Kavitha, Shih, George

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The RSNA International COVID-19 Open Radiology Database (RICORD) by Tsai, Emily B., Simpson, Scott, Lungren, Matthew P., Hershman, Michelle, Roshkovan, Leonid, Colak, Errol, Erickson, Bradley J., Shih, George, Stein, Anouk, Kalpathy-Cramer, Jayashree, Shen, Jody, Hafez, Mona, John, Susan, Rajiah, Prabhakar, Pogatchnik, Brian P., Mongan, John, Altinmakas, Emre, Ranschaert, Erik R., Kitamura, Felipe C., Topff, Laurens, Moy, Linda, Kanne, Jeffrey P., Wu, Carol C.

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Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge by Flanders, Adam E., Prevedello, Luciano M., Shih, George, Halabi, Safwan S., Kalpathy-Cramer, Jayashree, Ball, Robyn, Mongan, John T., Stein, Anouk, Kitamura, Felipe C., Lungren, Matthew P., Choudhary, Gagandeep, Cala, Lesley, Coelho, Luiz, Mogensen, Monique, Morón, Fanny, Miller, Elka, Ikuta, Ichiro, Zohrabian, Vahe, McDonnell, Olivia, Lincoln, Christie, Shah, Lubdha, Joyner, David, Agarwal, Amit, Lee, Ryan K., Nath, Jaya

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Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge by Flanders, Adam E., Prevedello, Luciano M., Shih, George, Halabi, Safwan S., Kalpathy-Cramer, Jayashree, Ball, Robyn, Mongan, John T., Stein, Anouk, Kitamura, Felipe C., Lungren, Matthew P., Choudhary, Gagandeep, Cala, Lesley, Coelho, Luiz, Mogensen, Monique, Morón, Fanny, Miller, Elka, Ikuta, Ichiro, Zohrabian, Vahe, McDonnell, Olivia, Lincoln, Christie, Shah, Lubdha, Joyner, David, Agarwal, Amit, Lee, Ryan K., Nath, Jaya

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The RSNA Pulmonary Embolism CT Dataset by Colak, Errol, Kitamura, Felipe C., Hobbs, Stephen B., Wu, Carol C., Lungren, Matthew P., Prevedello, Luciano M., Kalpathy-Cramer, Jayashree, Ball, Robyn L., Shih, George, Stein, Anouk, Halabi, Safwan S., Altinmakas, Emre, Law, Meng, Kumar, Parveen, Manzalawi, Karam A., Nelson Rubio, Dennis Charles, Sechrist, Jacob W., Germaine, Pauline, Lopez, Eva Castro, Amerio, Tomas, Gupta, Pushpender, Jain, Manoj, Kay, Fernando U., Lin, Cheng Ting, Sen, Saugata, Revels, Jonathan Wesley, Brussaard, Carola C., Mongan, John

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