ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography. - Hooman Vaseli; Ang Nan Gu; S. Neda Ahmadi Amiri; Michael Y. Tsang; Andrea Fung; Nima Kondori; Armin Saadat; Purang Abolmaesumi; Teresa S. M. Tsang (MICCAI (6), 2023)

Transformer-Based Spatio-Temporal Analysis for Classification of Aortic Stenosis Severity From Echocardiography Cine Series. - S. Neda Ahmadi Amiri; Michael Y. Tsang; Ang Nan Gu; Teresa S. M. Tsang; Purang Abolmaesumi (IEEE Trans. Medical Imaging, 2024)

ProtoASNet: Comprehensive evaluation and enhanced performance with uncertainty estimation for aortic stenosis classification in echocardiography. - Ang Nan Gu; Hooman Vaseli; Michael Y. Tsang; Victoria Wu; S. Neda Ahmadi Amiri; Nima Kondori; Andrea Fung; Teresa S. M. Tsang; Purang Abolmaesumi (Medical Image Anal., 2025)