Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in Echocardiography. - Delaram Behnami; Christina Luong 001; Hooman Vaseli; Amir H. Abdi; Hany Girgis; Dale Hawley; Robert Rohling; Ken Gin; Purang Abolmaesumi; Teresa Tsang (DLMIA/ML-CDS@MICCAI, 2018)

A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data. - Mohammad H. Jafari 001; Hany Girgis; Zhibin Liao; Delaram Behnami; Amir H. Abdi; Hooman Vaseli; Christina Luong 001; Robert Rohling; Ken Gin; Teresa Tsang; Purang Abolmaesumi (DLMIA/ML-CDS@MICCAI, 2018)

Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device. - Nathan Van Woudenberg; Zhibin Liao; Amir H. Abdi; Hani Girgis; Christina Luong 001; Hooman Vaseli; Delaram Behnami; Haotian Zhang; Kenneth Gin; Robert Rohling; Teresa Tsang; Purang Abolmaesumi (POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, 2018)

Designing lightweight deep learning models for echocardiography view classification. - Hooman Vaseli; Zhibin Liao; Amir H. Abdi; Hany Girgis; Delaram Behnami; Christina Luong 001; Fatemeh Taheri Dezaki; Neeraj Dhungel; Robert Rohling; Ken Gin; Purang Abolmaesumi; Teresa Tsang (Image-Guided Procedures, 2019)

Automatic cine-based detection of patients at high risk of heart failure with reduced ejection fraction in echocardiograms. - Delaram Behnami; Christina Luong 001; Hooman Vaseli; Hany Girgis; Amir H. Abdi; Dale Hawley; Ken Gin; Robert Rohling; Purang Abolmaesumi; Teresa Tsang (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment. - Zhibin Liao; Hany Girgis; Amir H. Abdi; Hooman Vaseli; Jorden Hetherington; Robert Rohling; Ken Gin; Teresa Tsang; Purang Abolmaesumi (IEEE Trans. Medical Imaging, 2020)

Echo-Rhythm Net: Semi-Supervised Learning For Automatic Detection of Atrial Fibrillation in Echocardiography. - Fatemeh Taheri Dezaki; Tom Ginsberg; Christina Luong 001; Hooman Vaseli; Robert Rohling; Ken Gin; Purang Abolmaesumi; Teresa Tsang (ISBI, 2021)

Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series. - Mobina Mahdavi; Hooman Vaseli; Christina Luong 001; Nathan Van Woudenberg; Mohammad H. Jafari 001; Purang Abolmaesumi; Teresa Tsang (ASMUS@MICCAI, 2022)

EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms. - Masoud Mokhtari; Mobina Mahdavi; Hooman Vaseli; Christina Luong 001; Purang Abolmaesumi; Teresa S. M. Tsang; Renjie Liao (MICCAI (4), 2023)

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)

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)