Massoud Zolgharni

Orcid: 0000-0003-0904-2904

Affiliations:
  • University of Lincoln, UK


According to our database1, Massoud Zolgharni authored at least 16 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Automated multi-beat tissue Doppler echocardiography analysis using deep neural networks.
Medical Biol. Eng. Comput., May, 2023

Automated Analysis of Mitral Inflow Doppler Using Deep Neural Networks.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

Deep Active Learning for Left Ventricle Segmentation in Echocardiography.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022
Automated Assessment of Transthoracic Echocardiogram Image Quality Using Deep Neural Networks.
CoRR, 2022

ECG-based real-time arrhythmia monitoring using quantized deep neural networks: A feasibility study.
Comput. Biol. Medicine, 2022

2021
Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic Videos.
IEEE J. Biomed. Health Informatics, 2021

Multibeat echocardiographic phase detection using deep neural networks.
Comput. Biol. Medicine, 2021

Echocardiographic Image Quality Assessment Using Deep Neural Networks.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2020
An optimisation-based iterative approach for speckle tracking echocardiography.
Medical Biol. Eng. Comput., 2020

ResDUnet: Residual Dilated UNet for Left Ventricle Segmentation from Echocardiographic Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Early esophageal adenocarcinoma detection using deep learning methods.
Int. J. Comput. Assist. Radiol. Surg., 2019

Esophageal Abnormality Detection Using DenseNet Based Faster R-CNN With Gabor Features.
IEEE Access, 2019

Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic Images.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2014
Automated Aortic Doppler Flow Tracing for Reproducible Research and Clinical Measurements.
IEEE Trans. Medical Imaging, 2014

2009
Forward modelling of magnetic induction tomography: a sensitivity study for detecting haemorrhagic cerebral stroke.
Medical Biol. Eng. Comput., 2009


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