3 papers
cs.CV2026
Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis
Julia Wolleb, Cristiana Baloescu, Alicia Durrer +2
Implicit neural representations (INRs) have emerged as a powerful framework for continuous image representation learning. In Functa-based approaches, each image is encoded as a lat…
cs.CV2025
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…
eess.IV2025
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…