no code implementations • 25 Jul 2023 • Leiming Chen, Weishan Zhang, Cihao Dong, Sibo Qiao, Ziling Huang, Yuming Nie, Zhaoxiang Hou, Chee Wei Tan
Traditional federated learning uses the number of samples to calculate the weights of each client model and uses this fixed weight value to fusion the global model.
no code implementations • 28 Mar 2021 • Min Wang, Shanchen Pang, Tong Ding, Sibo Qiao, Xue Zhai, Shuo Wang, Neal N. Xiong, Zhengwen Huang
In addition, we design a utility prediction model for SSF based on the Generative Adversarial Networks (GAN) and Fully Connected Neural Network (FCNN).
no code implementations • 26 Nov 2020 • Sibo Qiao, Shanchen Pang, Gang Luo, Silin Pan, Xun Wang, Min Wang, Xue Zhai, Taotao Chen
The first step to automatically analyze fetal FC views is locating the fetal four crucial chambers of heart in a US image.