Massoud Zolgharni

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University of West London

United Kingdom

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Recent Grants

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Rapid reliable volume status and ventricular function assessment by non-specialist staff using innovative imaging in clinical practice

Open Date: 2012-01-01

Close Date: 2017-12-31

Grant: Close

Tensor-mapping to resolve the Achilles heel of echocardiographic strain imaging

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Articles (13)

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2025

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2025

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2023

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2023

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (6)

Neda Azarmehr

University of West London

UNITED KINGDOM

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Jonathan Loo

University of West London

UNITED KINGDOM

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Faraz Janan

Imperial College London

UNITED KINGDOM

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Robert B. Labs

Associate Professor

University of West London

UNITED KINGDOM

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Matthew Shun-Shin

Imperial College London

UNITED KINGDOM

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xujiong ye

Professor

University of Lincoln

UNITED KINGDOM

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Massoud Zolgharni

Research Interests

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Contact this professor

Recent Grants

Articles (13)

Consensus-guided evaluation of self-supervised learning in echocardiographic segmentation

Enhanced Non-EEG Multimodal Seizure Detection: A Real-World Model for Identifying Generalised Seizures Across the Ictal State

Automated assessment of transthoracic echocardiogram image quality using deep neural networks

Automated multi-beat tissue Doppler echocardiography analysis using deep neural networks

ECG-based real-time arrhythmia monitoring using quantized deep neural networks: A feasibility study.

Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic Videos

Automated Left Ventricular Dimension Assessment Using Artificial Intelligence Developed and Validated by a UK-Wide Collaborative.

Multibeat echocardiographic phase detection using deep neural networks.

Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic Videos.

Neural architecture search of echocardiography view classifiers

Automated Left Ventricular Dimension Assessment Using Artificial Intelligence Developed and Validated by a UK-Wide Collaborative

Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography.

An optimisation-based iterative approach for speckle tracking echocardiography

Collaborators (6)

Neda Azarmehr

Jonathan Loo

Faraz Janan

Robert B. Labs

Matthew Shun-Shin

xujiong ye

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