Items where Author is "Zolgharni, Massoud"

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Number of items: 32.

Article

Alajrami, Eman, Ng, Tiffany, Jevsikov, Jevgeni, Naidoo, Preshen, Fernandes, Patricia, Azarmehr, Neda, Dinmohammadi, Fateme, Shun-shin, Matthew J., Dadashi Serej, Nasim, Francis, Darrel P. and Zolgharni, Massoud (2024) Active Learning for Left Ventricle Segmentation in Echocardiography. Computer Methods and Programs in Biomedicine. p. 108111. ISSN 01692607

Jevsikov, Jevgeni, Ng, Tiffany, Lane, Elisabeth S., Alajrami, Eman, Naidoo, Preshen, Fernandes, Patricia, Sehmi, Joban S., Alzetani, Maysaa, Demetrescu, Camelia D., Azarmehr, Neda, Serej, Nasim Dadashi, Stowell, Catherine C., Shun-Shin, Matthew J., Francis, Darrel P. and Zolgharni, Massoud (2024) Automated mitral inflow Doppler peak velocity measurement using deep learning. Computers in Biology and Medicine, 171. p. 108192. ISSN 00104825

Girotto, Cristiane D., Piadeh, Farzad, Bkhtiari, Vahid, Behzadian, Kourosh, Chen, Albert S., Campos, Luiza C. and Zolgharni, Massoud (2023) A critical review of digital technology innovations for early warning of water-related disease outbreaks associated with climatic hazards. International Journal of Disaster Risk Reduction, 100. p. 104151. ISSN 22124209

Lane, Elisabeth S., Jevsikov, Jevgeni, Shun-shin, Matthew J., Dhutia, Niti, Matoorian, Nasser, Cole, Graham D., Francis, Darrel P. and Zolgharni, Massoud (2023) Automated multi-beat tissue Doppler echocardiography analysis using deep neural networks. Medical & Biological Engineering & Computing, 61 (5). pp. 911-926. ISSN 0140-0118

Lane, Elisabeth S., Jevsikov, Jevgeni, Shun-shin, Matthew J., Dhutia, Niti, Matoorian, Nasser, Cole, Graham D., Francis, Darrel P. and Zolgharni, Massoud (2023) Automated multi-beat tissue Doppler echocardiography analysis using deep neural networks. Medical & Biological Engineering & Computing, 61 (5). pp. 911-926. ISSN 0140-0118

Labs, Robert B., Vrettos, Apostolos, Loo, Jonathan and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2022) Automated assessment of transthoracic echocardiogram image quality using deep neural networks. Intelligent Medicine. ISSN 2667-1026

De Melo Ribeiro, Henrique, Arnold, Ahran, Howard, James P., Shun-Shin, Matthew J., Zhang, Ying, Francis, Darrel P., Lim, Phang B., Whinnett, Zachary and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2022) ECG-based real-time arrhythmia monitoring using quantized deep neural networks: a feasibility study. Computers in Biology and Medicine, 143. p. 105249. ISSN 0010-4825

Azarmehr, Neda, Ye, Xujiong, Howard, James P., Lane, Elisabeth S., Labs, Robert, Shun-Shin, Matthew J., Cole, Graham D., Bidaut, Luc, Francis, Darrel P. and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2021) Neural architecture search of echocardiography view classifiers. Journal of Medical Imaging, 8 (03). ISSN 2329-4302

Howard, James P., Stowell, Catherine C., Cole, Graham D., Ananthan, Kajaluxy, Demetrescu, Camelia D., Pearce, Keith, Rajani, Ronak, Sehmi, Jobanpreet, Vimalesvaran, Kavitha, Kanaganayagam, G. Sunthar, McPhail, Eleanor, Ghosh, Arjun K., Chambers, John B., Singh, Amar P., Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Rana, Bushra, Francis, Darrel P. and Shun-Shin, Matthew J. (2021) Automated left ventricular dimension assessment using artificial intelligence developed and validated by a UK-wide collaborative. Circulation: Cardiovascular Imaging, 14 (5). pp. 405-415. ISSN 1941-9651

Lane, Elisabeth S., Azarmehr, Neda, Jevsikov, Jevgeni, Howard, James P., Shun-shin, Matthew J., Cole, Graham D., Francis, Darrel P. and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2021) Multibeat echocardiographic phase detection using deep neural networks. Computers in Biology and Medicine, 133. p. 104373. ISSN 0010-4825

Azarmehr, Neda, Ye, Xujiong, Howes, Joseph D., Docking, Benjamin, Howard, James P., Francis, Darrel P. and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2020) An optimisation-based iterative approach for speckle tracking echocardiography. Medical & Biological Engineering & Computing, 58 (6). pp. 1309-1323. ISSN 0140-0118

Ghatwary, Noha, Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Janan, Faraz and Ye, Xujiong (2020) Learning spatiotemporal features for esophageal abnormality detection from endoscopic videos. IEEE Journal of Biomedical and Health Informatics. p. 1. ISSN 2168-2194

Howard, James P., Tan, Jeremy, Shun-Shin, Matthew J., Mahdi, Dina, Nowbar, Alexandra N., Arnold, Ahran D., Ahmad, Yousif, McCartney, Peter, Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Linton, Nick W. F., Sutaria, Nilesh, Rana, Bushra, Mayet, Jamil, Rueckert, Daniel, Cole, Graham D. and Francis, Darrel P. (2019) Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography. Journal of Medical Artificial Intelligence.

Ghatwary, Noha, Ye, Xujiong and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2019) Esophageal abnormality detection using DenseNet based Faster R-CNN with Gabor features. IEEE Access, 7. p. 1.

Ghatwary, Noha, Ye, Xujiong and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2019) Early Esophageal Adenocarcinoma detection using deep learning methods. International Journal of Computer Assisted Radiology and Surgery, 14 (4). pp. 611-621. ISSN 1861-6410

Sacchi, Stefania, Dhutia, Niti M, Shun-Shin, Matthew J, Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Sutaria, Nilesh, Francis, Darrel P and Cole, Graham D (2018) Doppler assessment of aortic stenosis: a 25-operator study demonstrating why reading the peak velocity is superior to velocity time integral. European Heart Journal - Cardiovascular Imaging, 19 (12). pp. 1380-1389. ISSN 2047-2404

Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Negoita, Madalina, Dhutia, Niti M., Mielewczik, Michael, Manoharan, Karikaran, Sohaib, S. M. Afzal, Finegold, Judith A., Sacchi, Stefania, Cole, Graham D. and Francis, Darrel P. (2017) Automatic detection of end-diastolic and end-systolic frames in 2D echocardiography. Echocardiography, 34 (7). pp. 956-967. ISSN 0742-2822

Dhutia, Niti M., Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Mielewczik, Michael, Negoita, Madalina, Sacchi, Stefania, Manoharan, Karikaran, Francis, Darrel P. and Cole, Graham D. (2017) Open-source, vendor-independent, automated multi-beat tissue Doppler echocardiography analysis. The International Journal of Cardiovascular Imaging, 33 (8). pp. 1135-1148. ISSN 1569-5794

Negoita, Madalina, Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Dadkho, Elham, Pernigo, Matteo, Mielewczik, Michael, Cole, Graham D., Dhutia, Niti M. and Francis, Darrel P. (2016) Frame rate required for speckle tracking echocardiography: A quantitative clinical study with open-source, vendor-independent software. International Journal of Cardiology, 218. pp. 31-36. ISSN 01675273

Cole, Graham D., Dhutia, Niti M., Shun-Shin, Matthew J., Willson, Keith, Harrison, James, Raphael, Claire E., Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Mayet, Jamil and Francis, Darrel P. (2015) Defining the real-world reproducibility of visual grading of left ventricular function and visual estimation of left ventricular ejection fraction: impact of image quality, experience and accreditation. The International Journal of Cardiovascular Imaging, 31 (7). pp. 1303-1314. ISSN 1569-5794

Dhutia, Niti M., Cole, Graham D., Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Manisty, Charlotte H., Willson, Keith, Parker, Kim H., Hughes, Alun D. and Francis, Darrel P. (2014) Automated speckle tracking algorithm to aid on-axis imaging in echocardiography. Journal of Medical Imaging, 1 (3). pp. 1-9. ISSN 2329-4302

Dhutia, N. M., Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Willson, K., Cole, G., Nowbar, A. N., Dawson, D., Zielke, S., Whelan, C., Newton, J., Mayet, J., Manisty, C. H. and Francis, D. P. (2014) Guidance for accurate and consistent tissue Doppler velocity measurement: comparison of echocardiographic methods using a simple vendor-independent method for local validation. European Heart Journal - Cardiovascular Imaging, 15 (7). pp. 817-827. ISSN 2047-2404

Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Dhutia, Niti M., Cole, Graham D., Bahmanyar, M. Reza, Jones, Siana, Sohaib, S. M. Afzal, Tai, Sarah B., Willson, Keith, Finegold, Judith A. and Francis, Darrel P. (2014) Automated aortic doppler flow tracing for reproducible research and clinical measurements. IEEE Transactions on Medical Imaging, 33 (5). pp. 1071-1082.

Conference or Workshop Item

Girotto, Cristiane, Piadeh, Farzad ORCID: https://orcid.org/0000-0002-4958-6968, Behzadian, Kourosh ORCID: https://orcid.org/0000-0002-1459-8408 and Zolgharni, Massoud (2024) Machine learning models for stream-level predictions using readings from satellite and ground gauging stations. In: EGU General Assembly 2024, 14-19 Apr 2024, Vienna, Austria.

Jevsikov, Jevgeni, Lane, Elisabeth S., Alajrami, Eman, Naidoo, Preshen, Serej, Nasim Dadashi, Azarmehr, Neda, Aleshaiker, Sama, Stowell, Catherine C., Shun-shin, Matthew J., Francis, Darrel P. and Zolgharni, Massoud (2023) Automated Analysis of Mitral Inflow Doppler Using Deep Neural Networks. In: Functional Imaging and Modeling of the Heart, 19-22 June 2023, Lyon, France.

Alajrami, Eman, Naidoo, Preshen, Jevsikov, Jevgeni, Lane, Elisabeth, Pordoy, Jamie, Serej, Nasim Dadashi, Azarmehr, Neda, Dinmohammadi, Fateme, Shun-shin, Matthew J., Francis, Darrel P. and Zolgharni, Massoud (2023) Deep Active Learning for Left Ventricle Segmentation in Echocardiography. In: Functional Imaging and Modeling of the Heart, 19-22 June 2023, Lyon, France.

DondeGirotto, Cristiane, Piadeh, Farzad ORCID: https://orcid.org/0000-0002-4958-6968, Behzadian, Kourosh ORCID: https://orcid.org/0000-0002-1459-8408, Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Campos, Luiza and Chen, Albert (2023) Role of satellite precipitation products in real-time predictions of urban rainfall-runoff by using machine learning modelling. In: EGU General Assembly 2023, 23-28 Apr 2023, Vienna, Austria.

Lane, Elisabeth Sarah, Jevsikov, Jevgeni, Dhutia, Niti, Shun-shin, Matthew J, Francis, Darrel P and Zolgharni, Massoud (2023) Automated Multibeat Tissue Doppler Echocardiography Analysis Using Deep Neural Networks. In: Medical Imaging with Deep Learning, 6 – 8 July 2022, Zurich, Switzerland.

Naidoo, Preshen, Alajrami, Eman I, Lane, Elisabeth Sarah, Jevsikov, Jevgeni, Shun-shin, Matthew J, Francis, Darrel P and Zolgharni, Massoud (2022) Influence of Loss Function on Left Ventricular Volume and Ejection Fraction Estimation in Deep Neural Networks. In: Medical Imaging with Deep Learning, 6 – 8 July 2022, Zurich, Switzerland.

Jevsikov, Jevgeni, Lane, Elisabeth Sarah, Stowell, Catherine C, Shun-shin, Matthew J, Francis, Darrel P and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2022) Automated analysis of mitral inflow doppler using convolutional neural networks. In: Medical Imaging with Deep Learning, 6–8 Jul 2022, Zurich.

Neda, Azarmehr ORCID: https://orcid.org/0000-0002-6367-207X, Xujiong, Ye and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2020) Segmentation of left ventricle in 2D echocardiography using deep learning. In: 23rd Conference on Medical Image Understanding and Analysis, 24-26 July 2019, Liverpool.

Neda, Azarmehr ORCID: https://orcid.org/0000-0002-6367-207X, Xujiong, Ye and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2019) Automated segmentation of left ventricle in 2D echocardiography using deep learning. In: nternational Conference on Medical Imaging with Deep Learning, 8‑10 July 2019, London. (In Press)

This list was generated on Sat Nov 23 19:40:15 2024 UTC.

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