GEMTrans: A General, Echocardiography-based, Multi-Level Transformer Framework for Cardiovascular Diagnosis

1 code implementation • 25 Aug 2023 • Masoud Mokhtari, Neda Ahmadi, Teresa S. M. Tsang, Purang Abolmaesumi, Renjie Liao

Due to inter-observer variability in echo-based diagnosis, which arises from the variability in echo image acquisition and the interpretation of echo images based on clinical experience, vision-based machine learning (ML) methods have gained popularity to act as secondary layers of verification.

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

1 code implementation • 23 Jul 2023 • Masoud Mokhtari, Mobina Mahdavi, Hooman Vaseli, Christina Luong, Purang Abolmaesumi, Teresa S. M. Tsang, Renjie Liao

To address this challenge, we introduce an echocardiogram-based, hierarchical graph neural network (GNN) for left ventricle landmark detection (EchoGLAD).

Graph Representation Learning

EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks

1 code implementation • 30 Aug 2022 • Masoud Mokhtari, Teresa Tsang, Purang Abolmaesumi, Renjie Liao

In this work, we introduce EchoGNN, a model based on graph neural networks (GNNs) to estimate EF from echo videos.