Author Correction: Federated learning enables big data for rare cancer boundary detection.
Publication
, Journal Article
Pati, S; Baid, U; Edwards, B; Sheller, M; Wang, S-H; Reina, GA; Foley, P; Gruzdev, A; Karkada, D; Davatzikos, C; Sako, C; Ghodasara, S; Fu, E ...
Published in: Nat Commun
January 26, 2023
Duke Scholars
Altmetric Attention Stats
Dimensions Citation Stats
Published In
Nat Commun
DOI
EISSN
2041-1723
Publication Date
January 26, 2023
Volume
14
Issue
1
Start / End Page
436
Location
England
Citation
APA
Chicago
ICMJE
MLA
NLM
Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S.-H., Reina, G. A., … Bakas, S. (2023). Author Correction: Federated learning enables big data for rare cancer boundary detection. Nat Commun, 14(1), 436. https://doi.org/10.1038/s41467-023-36188-7
Pati, Sarthak, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G Anthony Reina, Patrick Foley, et al. “Author Correction: Federated learning enables big data for rare cancer boundary detection.” Nat Commun 14, no. 1 (January 26, 2023): 436. https://doi.org/10.1038/s41467-023-36188-7.
Pati S, Baid U, Edwards B, Sheller M, Wang S-H, Reina GA, et al. Author Correction: Federated learning enables big data for rare cancer boundary detection. Nat Commun. 2023 Jan 26;14(1):436.
Pati, Sarthak, et al. “Author Correction: Federated learning enables big data for rare cancer boundary detection.” Nat Commun, vol. 14, no. 1, Jan. 2023, p. 436. Pubmed, doi:10.1038/s41467-023-36188-7.
Pati S, Baid U, Edwards B, Sheller M, Wang S-H, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To M-S, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee S-K, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng T-C, Adabi S, Niclou SP, Keunen O, Hau A-C, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu’aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Author Correction: Federated learning enables big data for rare cancer boundary detection. Nat Commun. 2023 Jan 26;14(1):436.
Published In
Nat Commun
DOI
EISSN
2041-1723
Publication Date
January 26, 2023
Volume
14
Issue
1
Start / End Page
436
Location
England