Y. Yoon

Multi-Task Deep Learning Framework for Real-Time Quality Assessment and Probe Guidance in Echocardiography.

A multi-task guidance framework that jointly performs supervised view classification and cardiac structure segmentation and reuses their outputs to enable label-efficient, structure-specific image quality scoring through entropy-based metrics without additional quality annotations can assist novice or trainee users in consistently acquiring acceptable echocardiographic views with minimal additional annotation.