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    Federated learning enables big data for rare cancer boundary detection by Pati, Sarthak, Baid, Ujjwal, Edwards, Brandon, Wang, Shih-Han, Reina, G Anthony, Vollmuth, Philipp, Preetha, Chandrakanth J, Zenk, Maximilian, Bendszus, Martin, Wick, Wolfgang, Cha, Soonmee, Pandey, Umang, Garrett, John, Jeraj, Robert, Frood, Russell, Fatania, Kavi, Huang, Raymond Y, Chang, Ken, Capellades, Jaume, Puig, Josep, Haunschmidt, Andreas, Meckel, Stephan, Venkataraman, Archana, Chen, Cheng, Dou, Qi, Matula, Petr, Dostál, Marek, Vybíhal, Václav, Mitchell, J Ross, Maldjian, Joseph A, Yogananda, Chandan Ganesh Bangalore, Holcomb, James, Raymond, Catalina, Hagiwara, Akifumi, To, Minh-Son, Teixeira, Bernardo C A, Menotti, David, Lucio, Diego R, LaMontagne, Pamela, Marcus, Daniel, Ezhov, Ivan, McKinley, Richard, Slotboom, Johannes, Radojewski, Piotr, Wiest, Roland, Murcia, Derrick, Sloan, Andrew E, Srinivasan, Ashok, Zampakis, Peter, Panagiotopoulos, Vasileios, Alexiou, Sotiris, Kalogeropoulou, Christina, Kardamakis, Dimitrios M, Wen, Ning, Chen, Jonathan, Smits, Marion, Alafandi, Ahmed, Kapsas, Georgios, Gahrmann, Renske, Vincent, Arnaud J P E, Adabi, Saba, Niclou, Simone P, Vallières, Martin, Chotai, Silky, Chambless, Lola B, Mistry, Akshitkumar, Thompson, Reid C, Madhavan, Subha, Chelliah, Alysha, Modat, Marc, Dragos, Carmen, Abbassy, Ahmed, Mekhaimar, Mahmoud, Qayati, Mohamed, Yun, Jihye, Muzi, Mark, Beets-Tan, Regina G H, Herrera-Trujillo, Alejandro, Trujillo, Maria, Choi, Joseph, Baek, Stephen, Ismael, Heba, Allen, Bryan, Buatti, John M, Weiss, Tobias, Weller, Michael, Kurc, Tahsin, Quevedo, Sebastian, Ríos, Elvis, López, Eduardo, Velastin, Sergio A, Ogbole, Godwin, Oyekunle, Dotun, Osobu, Babatunde, Dorcas, Adeleye, Cutler, Danielle, Bialecki, Brian, Apgar, Charles, Menze, Bjoern, Barnholtz-Sloan, Jill S

    Published in Nature communications
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