Dorsa EPMoghaddam

According to our database, Dorsa EPMoghaddam authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

VISION-ICE: Video-based Interpretation and Spatial Identification of Arrhythmia Origins via Neural Networks in Intracardiac Echocardiography.

Dorsa EPMoghaddam, Feng Gao, Drew Bernard, Kavya Sinha, Mehdi Razavi, Behnaam Aazhang

CoRR, February, 2026

2025

Reconstructing 12-lead ECG from reduced lead sets using an encoder-decoder convolutional neural network.

Dorsa EPMoghaddam, Anton Banta, Allison Post, Mehdi Razavi, Behnaam Aazhang

Biomed. Signal Process. Control., 2025

Characterizing the relationship of non-invasive and invasive neural recordings: An information-theoretic analysis of the scalp and stereo electroencephalography.

A. Roy Phillips, Dorsa EPMoghaddam, Yash S. Vakilna, Anton Banta, Brandy B. Ma, Amir H. Faraji, Behnaam Aazhang

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

A graph-based cardiac arrhythmia classification methodology using one-lead ECG recordings.

Dorsa EPMoghaddam, Ananya Muguli, Mehdi Razavi, Behnaam Aazhang

Intell. Syst. Appl., 2024

Cardiac Condition Classification Using 12-Lead ECG Recordings.

Dorsa EPMoghaddam, Mehdi Razavi, Behnaam Aazhang

Proceedings of the 58th Asilomar Conference on Signals, 2024

Vision Transformer for Arrhythmia Classification.

Dorsa EPMoghaddam, Mehdi Razavi, Behnaam Aazhang

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

A Novel Cardiac Arrhythmia Classification Method Using Visibility Graphs and Graph Convolutional Network.

Dorsa EPMoghaddam, Ananya Muguli, Behnaam Aazhang

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

A Novel Method for 12-Lead ECG Reconstruction.

Dorsa EPMoghaddam, Anton Banta, Allison Post, Mehdi Razavi, Behnaam Aazhang

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023