4 citations · 6 across the 4 of their papers we have counts for
4 papers
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…
Spatiotemporal Learning with Context-aware Video Tubelets for Ultrasound Video Analysis
Gary Y. Li, Li Chen, Bryson Hicks +11
Computer-aided pathology detection algorithms for video-based imaging modalities must accurately interpret complex spatiotemporal information by integrating findings across multipl…
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…