Forward modelling of magnetic induction tomography: a sensitivity study for detecting haemorrhagic cerebral stroke. - Massoud Zolgharni; Paul D. Ledger; H. Griffiths (Medical Biol. Eng. Comput., 2009)

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

GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic Images. - Noha M. Ghatwary; Massoud Zolgharni; Xujiong Ye (MLMI@MICCAI, 2019)

Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning. - Neda Azarmehr; Xujiong Ye; Stefania Sacchi; James P. Howard 001; Darrel P. Francis; Massoud Zolgharni (MIUA, 2019)

Esophageal Abnormality Detection Using DenseNet Based Faster R-CNN With Gabor Features. - Noha M. Ghatwary; Xujiong Ye; Massoud Zolgharni (IEEE Access, 2019)

Early esophageal adenocarcinoma detection using deep learning methods. - Noha M. Ghatwary; Massoud Zolgharni; Xujiong Ye (Int. J. Comput. Assist. Radiol. Surg., 2019)

ResDUnet: Residual Dilated UNet for Left Ventricle Segmentation from Echocardiographic Images. - Alyaa Amer; Xujiong Ye; Massoud Zolgharni; Faraz Janan (EMBC, 2020)

An optimisation-based iterative approach for speckle tracking echocardiography. - Neda Azarmehr; Xujiong Ye; Joseph D. Howes; Benjamin Docking; James P. Howard 001; Darrel P. Francis; Massoud Zolgharni (Medical Biol. Eng. Comput., 2020)

Echocardiographic Image Quality Assessment Using Deep Neural Networks. - Robert B. Labs; Massoud Zolgharni; Jonathan P. Loo (MIUA, 2021)

Multibeat echocardiographic phase detection using deep neural networks. - Elisabeth S. Lane; Neda Azarmehr; Jevgeni Jevsikov; James P. Howard 001; Matthew J. Shun-Shin; Graham D. Cole; Darrel P. Francis; Massoud Zolgharni (Comput. Biol. Medicine, 2021)

Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic Videos. - Noha M. Ghatwary; Massoud Zolgharni; Faraz Janan; Xujiong Ye (IEEE J. Biomed. Health Informatics, 2021)

ECG-based real-time arrhythmia monitoring using quantized deep neural networks: A feasibility study. - Henrique De Melo Ribeiro; Ahran Arnold; James P. Howard 001; Matthew J. Shun-Shin; Ying Zhang; Darrel P. Francis; Phang Boon Lim; Zachary Whinnett; Massoud Zolgharni (Comput. Biol. Medicine, 2022)

Automated Assessment of Transthoracic Echocardiogram Image Quality Using Deep Neural Networks. - Robert B. Labs; Apostolos Vrettos; Jonathan Loo; Massoud Zolgharni (CoRR, 2022)

Seizure Classification Using Person-Specific Triggers. - Jamie Pordoy; Y. Zhang; Nasser Matoorian; Massoud Zolgharni (EAI Endorsed Trans. Collab. Comput., 2022)

Deep Active Learning for Left Ventricle Segmentation in Echocardiography. - 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 (FIMH, 2023)

Automated Analysis of Mitral Inflow Doppler Using Deep Neural Networks. - 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 (FIMH, 2023)

Automated multi-beat tissue Doppler echocardiography analysis using deep neural networks. - Elisabeth S. Lane; Jevgeni Jevsikov; Matthew J. Shun-Shin; Niti M. Dhutia; Nasser Matoorian; Graham D. Cole; Darrel P. Francis; Massoud Zolgharni (Medical Biol. Eng. Comput., 2023)

Automated mitral inflow Doppler peak velocity measurement using deep learning. - 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; et al. (Comput. Biol. Medicine, 2024)

Active learning for left ventricle segmentation in echocardiography. - 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 (Comput. Methods Programs Biomed., 2024)

A Clinician-Centred Interface for AI-Powered Echocardiographic Image Quality Feedback. - Sara Adibzadeh; Patricia Fernandes; Mayur Agrawal; Nasim Dadashi Serej; Ali Gheitasy; Massoud Zolgharni (AIiH (2), 2025)

Deep Learning for Assessing Rotational Misalignment in Echocardiographic Imaging. - Patricia Fernandes; Preshen Naidoo; Isreal Ufumaka; Sara Adibzadeh; Eman Alajrami; Jevgeni Jevsikov; Nasim Dadashi Serej; James P. Howard 001; Matthew J. Shun-Shin; Charlotte Manisty; Darrel P. Francis; Massoud Zolgharni (AIiH (2), 2025)

Robustness of Human vs. AI Measurements Under Progressive Image Degradation. - Jevgeni Jevsikov; Catherine C. Stowell; Tiffany Ng; Beth Unsworth; Massoud Zolgharni; Darrel P. Francis; Charlotte H. Manisty; Matthew J. Shun-Shin (AIiH (2), 2025)

Spatiotemporal Contrastive Learning for Echocardiography View Classification. - Preshen Naidoo; Patricia Fernandes; Isreal Ufumaka; Nasim Dadashi Serej; James P. Howard 001; Darrel P. Francis; Charlotte Manisty; Massoud Zolgharni (AIiH (2), 2025)

Enhanced Non-EEG Multimodal Seizure Detection: A Real-World Model for Identifying Generalised Seizures Across the Ictal State. - Jamie Pordoy; Graham Jones; Nasser Matoorian; M. Evans; Nasim Dadashi Serej; Massoud Zolgharni (IEEE J. Biomed. Health Informatics, 2025)