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Massoud Zolgharni

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International Journal of Computer Assisted Radiology and Surgery|January 23, 2019
Early esophageal adenocarcinoma detection using deep learning methodsNoha Ghatwary, Massoud Zolgharni, Xujiong Ye
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic VideosNoha Ghatwary, Massoud Zolgharni, Faraz Janan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
ResDUnet: Residual Dilated UNet for Left Ventricle Segmentation from Echocardiographic ImagesAlyaa Amer, Xujiong Ye, Massoud Zolgharni, et al.
Medical & Biological Engineering & Computing|April 8, 2020
An optimisation-based iterative approach for speckle tracking echocardiographyNeda Azarmehr, Xujiong Ye, Joseph D Howes, et al.
Medical Image Analysis|March 2, 2026
Robust fine-grained echocardiographic view classification with supervised contrastive learningPreshen Naidoo, Patricia Fernandes, Nasim Dadashi Serej, et al.
European Heart Journal. Cardiovascular Imaging|January 19, 2018
Doppler assessment of aortic stenosis: a 25-operator study demonstrating why reading the peak velocity is superior to velocity time integralStefania Sacchi, Niti M Dhutia, Matthew J Shun-Shin, et al.
International Journal of Cardiology|May 28, 2016
Frame rate required for speckle tracking echocardiography: A quantitative clinical study with open-source, vendor-independent softwareMadalina Negoita, Massoud Zolgharni, Elham Dadkho, et al.
The International Journal of Cardiovascular Imaging|February 22, 2017
Open-source, vendor-independent, automated multi-beat tissue Doppler echocardiography analysisNiti M Dhutia, Massoud Zolgharni, Michael Mielewczik, et al.
Computers in Biology and Medicine|October 2, 2025
Consensus-guided evaluation of self-supervised learning in echocardiographic segmentationPreshen Naidoo, Patricia Fernandes, Nasim Dadashi Serej, et al.
Medical & Biological Engineering & Computing|January 11, 2023
Automated multi-beat tissue Doppler echocardiography analysis using deep neural networksElisabeth S Lane, Jevgeni Jevsikov, Matthew J Shun-Shin, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
International Journal of Computer Assisted Radiology and Surgery|January 23, 2019
Early esophageal adenocarcinoma detection using deep learning methodsNoha Ghatwary, Massoud Zolgharni, Xujiong Ye
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic VideosNoha Ghatwary, Massoud Zolgharni, Faraz Janan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
ResDUnet: Residual Dilated UNet for Left Ventricle Segmentation from Echocardiographic ImagesAlyaa Amer, Xujiong Ye, Massoud Zolgharni, et al.
Medical & Biological Engineering & Computing|April 8, 2020
An optimisation-based iterative approach for speckle tracking echocardiographyNeda Azarmehr, Xujiong Ye, Joseph D Howes, et al.
Medical Image Analysis|March 2, 2026
Robust fine-grained echocardiographic view classification with supervised contrastive learningPreshen Naidoo, Patricia Fernandes, Nasim Dadashi Serej, et al.
European Heart Journal. Cardiovascular Imaging|January 19, 2018
Doppler assessment of aortic stenosis: a 25-operator study demonstrating why reading the peak velocity is superior to velocity time integralStefania Sacchi, Niti M Dhutia, Matthew J Shun-Shin, et al.
International Journal of Cardiology|May 28, 2016
Frame rate required for speckle tracking echocardiography: A quantitative clinical study with open-source, vendor-independent softwareMadalina Negoita, Massoud Zolgharni, Elham Dadkho, et al.
The International Journal of Cardiovascular Imaging|February 22, 2017
Open-source, vendor-independent, automated multi-beat tissue Doppler echocardiography analysisNiti M Dhutia, Massoud Zolgharni, Michael Mielewczik, et al.
Computers in Biology and Medicine|October 2, 2025
Consensus-guided evaluation of self-supervised learning in echocardiographic segmentationPreshen Naidoo, Patricia Fernandes, Nasim Dadashi Serej, et al.
Medical & Biological Engineering & Computing|January 11, 2023
Automated multi-beat tissue Doppler echocardiography analysis using deep neural networksElisabeth S Lane, Jevgeni Jevsikov, Matthew J Shun-Shin, et al.
Pageof 3