4 citations · 6 across the 4 of their papers we have counts for
4 papers · 1 filter
GADA: Graph Attention-based Detection Aggregation for Ultrasound Video Classification
Li Chen, Naveen Balaraju, Jochen Kruecker +2
Medical ultrasound video analysis is challenging due to variable sequence lengths, subtle spatial cues, and the need for interpretable video-level assessment. We introduce GADA, a…
Ultrasound Image Synthesis Using Generative AI for Lung Ultrasound Detection
Yu-Cheng Chou, Gary Y. Li, Li Chen +15
Developing reliable healthcare AI models requires training with representative and diverse data. In imbalanced datasets, model performance tends to plateau on the more prevalent cl…
Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos
Li Chen, Jonathan Rubin, Jiahong Ouyang +24
Self-supervised learning (SSL) methods have shown promise for medical imaging applications by learning meaningful visual representations, even when the amount of labeled data is li…
Weakly Semi-Supervised Detection in Lung Ultrasound Videos
Jiahong Ouyang, Li Chen, Gary Y. Li +24
Frame-by-frame annotation of bounding boxes by clinical experts is often required to train fully supervised object detection models on medical video data. We propose a method for i…