Hooman Vaseli

26 papers Journal 12Unranked 14
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
2025 J jnl
ControlEchoSynth: Boosting Ejection Fraction Estimation Models via Controlled Video Diffusion.
CoRR
Nima Kondori, Hanwen Liang, Hooman Vaseli, Bingyu Xie, Christina Luong, Purang Abolmaesumi, Teresa Tsang, Renjie Liao
2025 — conf
HAPPI: Hyperbolic Hierarchical Part Prototypes for Image Recognition.
ICCVW
Hooman Vaseli, Victoria Wu, Nima Kondori, Nguyen Nhat Minh To, Andrea Fung, Ang Nan Gu, 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
ProtoEFNet: Dynamic Prototype Learning for Inherently Interpretable Ejection Fraction Estimation in Echocardiography.
iMIMIC@MICCAI
Yeganeh Ghamary, Victoria Wu, Hooman Vaseli, Christina Luong, Teresa Tsang, Siavash Bigdeli, Purang Abolmaesumi
2025 J jnl
ProtoEFNet: Dynamic Prototype Learning for Inherently Interpretable Ejection Fraction Estimation in Echocardiography.
CoRR
Yeganeh Ghamary, Victoria Wu, Hooman Vaseli, Christina Luong, Teresa Tsang, Siavash Bigdeli, Purang Abolmaesumi
2025 J jnl
Pseudo-D: Informing Multi-View Uncertainty Estimation with Calibrated Neural Training Dynamics.
CoRR
Ang Nan Gu, Michael Y. Tsang, Hooman Vaseli, Purang Abolmaesumi, Teresa Tsang
2025 — conf
Pseudo-D: Informing Multi-view Uncertainty Estimation with Calibrated Neural Training Dynamics.
UNSURE@MICCAI
Ang Nan Gu, Michael Y. Tsang, Hooman Vaseli, Purang Abolmaesumi, Teresa Tsang
2024 J jnl
Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography.
CoRR
Ang Nan Gu, Michael Y. Tsang, Hooman Vaseli, Teresa Tsang, Purang Abolmaesumi
2024 — conf
Reliable Multi-view Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography.
MICCAI (1)
Ang Nan Gu, Michael Y. Tsang, Hooman Vaseli, Teresa 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
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
2022 — conf
Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series.
ASMUS@MICCAI
Mobina Mahdavi, Hooman Vaseli, Christina Luong, Nathan Van Woudenberg, Mohammad H. Jafari, Purang Abolmaesumi, Teresa Tsang
2021 — conf
Echo-Rhythm Net: Semi-Supervised Learning For Automatic Detection of Atrial Fibrillation in Echocardiography.
ISBI
Fatemeh Taheri Dezaki, Tom Ginsberg, Christina Luong, Hooman Vaseli, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang
2020 J jnl
Automatic cine-based detection of patients at high risk of heart failure with reduced ejection fraction in echocardiograms.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Delaram Behnami, Christina Luong, Hooman Vaseli, Hany Girgis, Amir H. Abdi, Dale Hawley, Ken Gin, Robert Rohling, Purang Abolmaesumi, Teresa Tsang
2020 J jnl
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment.
IEEE Trans. Medical Imaging
Zhibin Liao, Hany Girgis, Amir H. Abdi, Hooman Vaseli, Jorden Hetherington, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi
2019 — conf
Designing lightweight deep learning models for echocardiography view classification.
Image-Guided Procedures
Hooman Vaseli, Zhibin Liao, Amir H. Abdi, Hany Girgis, Delaram Behnami, Christina Luong, Fatemeh Taheri Dezaki, Neeraj Dhungel, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang
2019 J jnl
On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment.
CoRR
Zhibin Liao, Hany Girgis, Amir H. Abdi, Hooman Vaseli, Jorden Hetherington, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi
2018 — conf
A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data.
DLMIA/ML-CDS@MICCAI
Mohammad H. Jafari, Hany Girgis, Zhibin Liao, Delaram Behnami, Amir H. Abdi, Hooman Vaseli, Christina Luong, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi
2018 — conf
Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in Echocardiography.
DLMIA/ML-CDS@MICCAI
Delaram Behnami, Christina Luong, Hooman Vaseli, Amir H. Abdi, Hany Girgis, Dale Hawley, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang
2018 — conf
Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device.
POCUS/BIVPCS/CuRIOUS/CPM@MICCAI
Nathan Van Woudenberg, Zhibin Liao, Amir H. Abdi, Hani Girgis, Christina Luong, Hooman Vaseli, Delaram Behnami, Haotian Zhang, Kenneth Gin, Robert Rohling, Teresa Tsang, Purang Abolmaesumi