Michael Y. Tsang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
1
Active years
2021–2025
Best venue rank
A
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Pseudo-D: Informing Multi-view Uncertainty Estimation with Calibrated Neural Training Dynamics. | Ang Nan Gu, Michael Y. Tsang, Hooman Vaseli, Purang Abolmaesumi, Teresa Tsang |
| 2025 | MICCAI | PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis. | Armin Saadat, Nima Hashemi, Hooman Vaseli, Michael Y. Tsang, Christina Luong, Michiel van de Panne, Teresa S. M. Tsang, Purang Abolmaesumi |
| 2025 | MICCAI | HiProtoNet: Hyperbolic Hierarchy-Aware Part Prototypes for Aortic Stenosis Severity Classification. | Hooman Vaseli, Victoria Wu, Diane Kim, Michael Y. Tsang, Ang Nan Gu, Christina Luong, Purang Abolmaesumi, Teresa S. M. Tsang |
| 2024 | MICCAI | 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 |
| 2023 | MICCAI | 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 |
| 2021 | MICCAI | 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, Purang Abolmaesumi, Teresa Tsang |