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eess.IV2023
Data-Free Distillation Improves Efficiency and Privacy in Federated Thorax Disease Analysis
Ming Li, Guang Yang
Thorax disease analysis in large-scale, multi-centre, and multi-scanner settings is often limited by strict privacy policies. Federated learning (FL) offers a potential solution, w…
eess.IV2022
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels
Ming Li, Yingying Fang, Zeyu Tang +5
The upheaval brought by the arrival of the COVID-19 pandemic has continued to bring fresh challenges over the past two years. During this COVID-19 pandemic, there has been a need f…
eess.IV2019★ 8 cited
Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation
Ming Li, Weiwei Zhang, Guang Yang +5
Multi-view echocardiographic sequences segmentation is crucial for clinical diagnosis. However, this task is challenging due to limited labeled data, huge noise, and large gaps acr…