Hooman Vaseli

According to our database, Hooman Vaseli authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms.

Masoud Mokhtari, Mobina Mahdavi, Hooman Vaseli, Christina Luong, Purang Abolmaesumi, Teresa S. M. Tsang, Renjie Liao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series.

Mobina Mahdavi, Hooman Vaseli, Christina Luong, Nathan Van Woudenberg, Mohammad H. Jafari, Purang Abolmaesumi, Teresa Tsang

Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

2021

Echo-Rhythm Net: Semi-Supervised Learning For Automatic Detection of Atrial Fibrillation in Echocardiography.

Fatemeh Taheri Dezaki, Tom Ginsberg, Christina Luong, Hooman Vaseli, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

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

Automatic cine-based detection of patients at high risk of heart failure with reduced ejection fraction in echocardiograms.

Delaram Behnami, Christina Luong, 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

2019

Designing lightweight deep learning models for echocardiography view classification.

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

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

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, Hooman Vaseli, Delaram Behnami, Haotian Zhang, Kenneth Gin, Robert Rohling, Teresa Tsang, Purang Abolmaesumi

Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data.

Mohammad H. Jafari, Hany Girgis, Zhibin Liao, Delaram Behnami, Amir H. Abdi, Hooman Vaseli, Christina Luong, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in Echocardiography.

Delaram Behnami, Christina Luong, Hooman Vaseli, Amir H. Abdi, Hany Girgis, Dale Hawley, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018