Teresa S. M. Tsang

16 papers Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
MultiASNet: Multimodal Label Noise Robust Framework for the Classification of Aortic Stenosis in Echocardiography.
IEEE Trans. Medical Imaging
Victoria Wu, Andrea Fung, Bahar Khodabakhshian, Baraa Abdelsamad, Hooman Vaseli, S. Neda Ahmadi Amiri, Jamie Alexis D. Goco, Michael Y. Tsang, Christina Luong, Purang Abolmaesumi, Teresa S. M. Tsang
2026 J jnl
Optimizing Point-of-Care Ultrasound Video Acquisition for Probabilistic Multi-Task Heart Failure Detection.
CoRR
Armin Saadat, Nima Hashemi, Bahar Khodabakhshian, Michael Y. Tsang, Christina Luong, Teresa S. M. Tsang, Purang Abolmaesumi
2025 J jnl
EchoAgent: Guideline-Centric Reasoning Agent for Echocardiography Measurement and Interpretation.
CoRR
Matin Daghyani, Lyuyang Wang, Nima Hashemi, Bassant Medhat, Baraa Abdelsamad, Eros Rojas Velez, Xiaoxiao Li, Michael Y. Tsang, Christina Luong, Teresa S. M. Tsang, Purang Abolmaesumi
2025 — conf
HiProtoNet: Hyperbolic Hierarchy-Aware Part Prototypes for Aortic Stenosis Severity Classification.
ASMUS@MICCAI
Hooman Vaseli, Victoria Wu, Diane Kim, Michael Y. Tsang, Ang Nan Gu, Christina Luong, Purang Abolmaesumi, Teresa S. M. Tsang
2025 — conf
PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis.
MICCAI (14)
Armin Saadat, Nima Hashemi, Hooman Vaseli, Michael Y. Tsang, Christina Luong, Michiel van de Panne, Teresa S. M. Tsang, Purang Abolmaesumi
2025 J jnl
PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis.
CoRR
Armin Saadat, Nima Hashemi, Hooman Vaseli, Michael Y. Tsang, Christina Luong, Michiel van de Panne, Teresa S. M. Tsang, Purang Abolmaesumi
2025 J jnl
ProtoASNet: Comprehensive evaluation and enhanced performance with uncertainty estimation for aortic stenosis classification in echocardiography.
Medical Image Anal.
Ang Nan Gu, Hooman Vaseli, Michael Y. Tsang, Victoria Wu, S. Neda Ahmadi Amiri, Nima Kondori, Andrea Fung, Teresa S. M. Tsang, Purang Abolmaesumi
2025 — conf
TREAT-Net: Tabular-Referenced Echocardiography Analysis for Acute Coronary Syndrome Treatment Prediction.
ASMUS@MICCAI
Diane Kim, Minh Nguyen Nhat To, Sherif Abdalla, Teresa S. M. Tsang, Purang Abolmaesumi, Christina Luong
2025 J jnl
TREAT-Net: Tabular-Referenced Echocardiography Analysis for Acute Coronary Syndrome Treatment Prediction.
CoRR
Diane Kim, Minh Nguyen Nhat To, Sherif Abdalla, Teresa S. M. Tsang, Purang Abolmaesumi, Christina Luong
2024 J jnl
Transformer-Based Spatio-Temporal Analysis for Classification of Aortic Stenosis Severity From Echocardiography Cine Series.
IEEE Trans. Medical Imaging
S. Neda Ahmadi Amiri, Michael Y. Tsang, Ang Nan Gu, Teresa S. M. Tsang, Purang Abolmaesumi
2023 — conf
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms.
MICCAI (4)
Masoud Mokhtari, Mobina Mahdavi, Hooman Vaseli, Christina Luong, Purang Abolmaesumi, Teresa S. M. Tsang, Renjie Liao
2023 J jnl
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms.
CoRR
Masoud Mokhtari, Mobina Mahdavi, Hooman Vaseli, Christina Luong, Purang Abolmaesumi, Teresa S. M. Tsang, Renjie Liao
2023 — conf
GEMTrans: A General, Echocardiography-Based, Multi-level Transformer Framework for Cardiovascular Diagnosis.
MLMI@MICCAI (2)
Masoud Mokhtari, Neda Ahmadi, Teresa S. M. Tsang, Purang Abolmaesumi, Renjie Liao
2023 J jnl
GEMTrans: A General, Echocardiography-based, Multi-Level Transformer Framework for Cardiovascular Diagnosis.
CoRR
Masoud Mokhtari, Neda Ahmadi, Teresa S. M. Tsang, Purang Abolmaesumi, Renjie Liao
2023 — conf
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography.
MICCAI (6)
Hooman Vaseli, Ang Nan Gu, S. Neda Ahmadi Amiri, Michael Y. Tsang, Andrea Fung, Nima Kondori, Armin Saadat, Purang Abolmaesumi, Teresa S. M. Tsang
2023 J jnl
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography.
CoRR
Hooman Vaseli, Ang Nan Gu, S. Neda Ahmadi Amiri, Michael Y. Tsang, Andrea Fung, Nima Kondori, Armin Saadat, Purang Abolmaesumi, Teresa S. M. Tsang