2 citations · 2 across the 3 of their papers we have counts for
5 papers
DiffUltra: Task-Guided Pathology Synthesis for Large-Scale Real-World Lung Ultrasound Data
Gary Y. Li, Yu-Cheng Chou, Li Chen +5
Despite their scale, large medical imaging datasets may underrepresent clinically relevant pathological presentations. Synthetic data can expand coverage, but findings must remain…
ZAGNet: Zone-Aware Graph Aggregation Network for Patient-Level Lung Ultrasound Diagnosis
Li Chen, Shubham Patil, Rashid Al Mukaddim +3
Patient-level lung ultrasound (LUS) diagnosis requires integrating findings acquired across multiple anatomical zones, yet clinical examinations frequently involve variable and inc…
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…