2 citations · 4 across the 10 of their papers we have counts for
3 papers · 1 filter
FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation
Yan Shen, Jian Du, Han Zhao +3
Federated adversary domain adaptation is a unique distributed minimax training task due to the prevalence of label imbalance among clients, with each client only seeing a subset of…
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber +3
Self-supervised learning provides an opportunity to explore unlabeled chest X-rays and their associated free-text reports accumulated in clinical routine without manual supervision…
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation
Yan Shen, Zhanghexuan Ji, Mingchen Gao
Many segmentation tasks for biomedical images can be modeled as the minimization of an energy function and solved by a class of max-flow and min-cut optimization algorithms. Howeve…