Cardiac point-of-care to cart-based ultrasound translation using constrained CycleGAN. - Mohammad H. Jafari 001; Hany Girgis; Nathan Van Woudenberg; Nathaniel Moulson; Christina Luong 001; Andrea Fung; Shane Balthazaar; John Jue; Michael Y. Tsang; Parvathy Nair; Ken Gin; Robert Rohling; et al. (Int. J. Comput. Assist. Radiol. Surg., 2020)

Deep Video Networks for Automatic Assessment of Aortic Stenosis in Echocardiography. - Tom Ginsberg; Ro-ee Tal; Michael Y. Tsang; Calum Macdonald; Fatemeh Taheri Dezaki; John van der Kuur; Christina Luong 001; Purang Abolmaesumi; Teresa Tsang (ASMUS@MICCAI, 2021)

U-LanD: Uncertainty-Driven Video Landmark Detection. - Mohammad H. Jafari 001; Christina Luong 001; Michael Y. Tsang; Ang Nan Gu; Nathan Van Woudenberg; Robert Rohling; Teresa Tsang; Purang Abolmaesumi (IEEE Trans. Medical Imaging, 2022)

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)

Reliable Multi-view Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography. - Ang Nan Gu; Michael Y. Tsang; Hooman Vaseli; Teresa Tsang; Purang Abolmaesumi (MICCAI (1), 2024)

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)