Publications (6)
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…
Learning Deep Similarity Metric for 3D MR-TRUS Registration
Grant Haskins, Jochen Kruecker, Uwe Kruger +4
Purpose: The fusion of transrectal ultrasound (TRUS) and magnetic resonance (MR) images for guiding targeted prostate biopsy has significantly improved the biopsy yield of aggressi…
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…
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…
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…