Massoud Zolgharni

27 papers Journal 17Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust fine-grained echocardiographic view classification with supervised contrastive learning. Medical Image Anal. Preshen Naidoo, Patricia Fernandes, Nasim Dadashi Serej, Catherine C. Stowell, Charlotte H. Manisty, Darrel P. Francis, Massoud Zolgharni
2025	—	`conf`	A Clinician-Centred Interface for AI-Powered Echocardiographic Image Quality Feedback. AIiH (2) Sara Adibzadeh, Patricia Fernandes, Mayur Agrawal, Nasim Dadashi Serej, Ali Gheitasy, Massoud Zolgharni
2025	J	`jnl`	Consensus-guided evaluation of self-supervised learning in echocardiographic segmentation. Comput. Biol. Medicine Preshen Naidoo, Patricia Fernandes, Nasim Dadashi Serej, Charlotte H. Manisty, Matthew J. Shun-Shin, Darrel P. Francis, Massoud Zolgharni
2025	—	`conf`	Deep Learning for Assessing Rotational Misalignment in Echocardiographic Imaging. AIiH (2) Patricia Fernandes, Preshen Naidoo, Isreal Ufumaka, Sara Adibzadeh, Eman Alajrami, Jevgeni Jevsikov, Nasim Dadashi Serej, James P. Howard, Matthew J. Shun-Shin, Charlotte Manisty, Darrel P. Francis, Massoud Zolgharni
2025	J	`jnl`	Enhanced Non-EEG Multimodal Seizure Detection: A Real-World Model for Identifying Generalised Seizures Across the Ictal State. IEEE J. Biomed. Health Informatics Jamie Pordoy, Graham Jones, Nasser Matoorian, M. Evans, Nasim Dadashi Serej, Massoud Zolgharni
2025	—	`conf`	Robustness of Human vs. AI Measurements Under Progressive Image Degradation. AIiH (2) Jevgeni Jevsikov, Catherine C. Stowell, Tiffany Ng, Beth Unsworth, Massoud Zolgharni, Darrel P. Francis, Charlotte H. Manisty, Matthew J. Shun-Shin
2025	—	`conf`	Spatiotemporal Contrastive Learning for Echocardiography View Classification. AIiH (2) Preshen Naidoo, Patricia Fernandes, Isreal Ufumaka, Nasim Dadashi Serej, James P. Howard, Darrel P. Francis, Charlotte Manisty, Massoud Zolgharni
2024	J	`jnl`	Active learning for left ventricle segmentation in echocardiography. Comput. Methods Programs Biomed. Eman Alajrami, Tiffany Ng, Jevgeni Jevsikov, Preshen Naidoo, Patricia Fernandes, Neda Azarmehr, Fateme Dinmohammadi, Matthew J. Shun-Shin, Nasim Dadashi Serej, Darrel P. Francis, Massoud Zolgharni
2024	J	`jnl`	Automated mitral inflow Doppler peak velocity measurement using deep learning. Comput. Biol. Medicine Jevgeni Jevsikov, Tiffany Ng, Elisabeth S. Lane, Eman Alajrami, Preshen Naidoo, Patricia Fernandes, Joban S. Sehmi, Maysaa Alzetani, Camelia D. Demetrescu, Neda Azarmehr, Nasim Dadashi Serej, Catherine C. Stowell, Matthew J. Shun-Shin, Darrel P. Francis, Massoud Zolgharni
2023	—	`conf`	Automated Analysis of Mitral Inflow Doppler Using Deep Neural Networks. FIMH Jevgeni Jevsikov, Elisabeth S. Lane, Eman Alajrami, Preshen Naidoo, Nasim Dadashi Serej, Neda Azarmehr, Sama Aleshaiker, Catherine C. Stowell, Matthew J. Shun-Shin, Darrel P. Francis, Massoud Zolgharni
2023	J	`jnl`	Automated multi-beat tissue Doppler echocardiography analysis using deep neural networks. Medical Biol. Eng. Comput. Elisabeth S. Lane, Jevgeni Jevsikov, Matthew J. Shun-Shin, Niti M. Dhutia, Nasser Matoorian, Graham D. Cole, Darrel P. Francis, Massoud Zolgharni
2023	—	`conf`	Deep Active Learning for Left Ventricle Segmentation in Echocardiography. FIMH Eman Alajrami, Preshen Naidoo, Jevgeni Jevsikov, Elisabeth S. Lane, Jamie Pordoy, Nasim Dadashi Serej, Neda Azarmehr, Fateme Dinmohammadi, Matthew J. Shun-Shin, Darrel P. Francis, Massoud Zolgharni
2022	J	`jnl`	Automated Assessment of Transthoracic Echocardiogram Image Quality Using Deep Neural Networks. CoRR Robert B. Labs, Apostolos Vrettos, Jonathan Loo, Massoud Zolgharni
2022	J	`jnl`	ECG-based real-time arrhythmia monitoring using quantized deep neural networks: A feasibility study. Comput. Biol. Medicine Henrique De Melo Ribeiro, Ahran Arnold, James P. Howard, Matthew J. Shun-Shin, Ying Zhang, Darrel P. Francis, Phang Boon Lim, Zachary Whinnett, Massoud Zolgharni
2022	J	`jnl`	Echocardiographic Image Quality Assessment Using Deep Neural Networks. CoRR Robert B. Labs, Massoud Zolgharni, Jonathan P. Loo
2022	J	`jnl`	Seizure Classification Using Person-Specific Triggers. EAI Endorsed Trans. Collab. Comput. Jamie Pordoy, Y. Zhang, Nasser Matoorian, Massoud Zolgharni
2021	—	`conf`	Echocardiographic Image Quality Assessment Using Deep Neural Networks. MIUA Robert B. Labs, Massoud Zolgharni, Jonathan P. Loo
2021	J	`jnl`	Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic Videos. IEEE J. Biomed. Health Informatics Noha M. Ghatwary, Massoud Zolgharni, Faraz Janan, Xujiong Ye
2021	J	`jnl`	Multibeat echocardiographic phase detection using deep neural networks. Comput. Biol. Medicine Elisabeth S. Lane, Neda Azarmehr, Jevgeni Jevsikov, James P. Howard, Matthew J. Shun-Shin, Graham D. Cole, Darrel P. Francis, Massoud Zolgharni
2020	J	`jnl`	An optimisation-based iterative approach for speckle tracking echocardiography. Medical Biol. Eng. Comput. Neda Azarmehr, Xujiong Ye, Joseph D. Howes, Benjamin Docking, James P. Howard, Darrel P. Francis, Massoud Zolgharni
2020	—	`conf`	ResDUnet: Residual Dilated UNet for Left Ventricle Segmentation from Echocardiographic Images. EMBC Alyaa Amer, Xujiong Ye, Massoud Zolgharni, Faraz Janan
2019	J	`jnl`	Early esophageal adenocarcinoma detection using deep learning methods. Int. J. Comput. Assist. Radiol. Surg. Noha M. Ghatwary, Massoud Zolgharni, Xujiong Ye
2019	J	`jnl`	Esophageal Abnormality Detection Using DenseNet Based Faster R-CNN With Gabor Features. IEEE Access Noha M. Ghatwary, Xujiong Ye, Massoud Zolgharni
2019	—	`conf`	GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic Images. MLMI@MICCAI Noha M. Ghatwary, Massoud Zolgharni, Xujiong Ye
2019	—	`conf`	Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning. MIUA Neda Azarmehr, Xujiong Ye, Stefania Sacchi, James P. Howard, Darrel P. Francis, Massoud Zolgharni
2014	J	`jnl`	Automated Aortic Doppler Flow Tracing for Reproducible Research and Clinical Measurements. IEEE Trans. Medical Imaging Massoud Zolgharni, Niti M. Dhutia, Graham D. Cole, M. Reza Bahmanyar, Siana Jones, Syed M. Afzal Sohaib, Sarah B. Tai, Keith Willson, Judith A. Finegold, Darrel P. Francis
2009	J	`jnl`	Forward modelling of magnetic induction tomography: a sensitivity study for detecting haemorrhagic cerebral stroke. Medical Biol. Eng. Comput. Massoud Zolgharni, Paul D. Ledger, H. Griffiths