Xu, An, Li, Wenqi, Guo, Pengfei, Yang, Dong, Roth, Holger, Hatamizadeh, Ali, Zhao, Can, Xu, Daguang, Huang, Heng, and Xu, Ziyue. Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. Retrieved from https://par.nsf.gov/biblio/10366148. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . Web. doi:10.1109/CVPR52688.2022.02020.

Xu, An, Li, Wenqi, Guo, Pengfei, Yang, Dong, Roth, Holger, Hatamizadeh, Ali, Zhao, Can, Xu, Daguang, Huang, Heng, & Xu, Ziyue. Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (). Retrieved from https://par.nsf.gov/biblio/10366148. https://doi.org/10.1109/CVPR52688.2022.02020

Xu, An, Li, Wenqi, Guo, Pengfei, Yang, Dong, Roth, Holger, Hatamizadeh, Ali, Zhao, Can, Xu, Daguang, Huang, Heng, and Xu, Ziyue. "Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation". 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (). Country unknown/Code not available. https://doi.org/10.1109/CVPR52688.2022.02020. https://par.nsf.gov/biblio/10366148.

@article{osti_10366148,
place = {Country unknown/Code not available}, title = {Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation}, url = {https://par.nsf.gov/biblio/10366148}, DOI = {10.1109/CVPR52688.2022.02020}, abstractNote = {}, journal = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, author = {Xu, An and Li, Wenqi and Guo, Pengfei and Yang, Dong and Roth, Holger and Hatamizadeh, Ali and Zhao, Can and Xu, Daguang and Huang, Heng and Xu, Ziyue}, }