Article

Naidoo, Preshen ORCID: https://orcid.org/0009-0004-8328-6194, Fernandes, Patricia ORCID: https://orcid.org/0009-0000-9720-2829, Dadashi Serej, Nasim ORCID: https://orcid.org/0000-0002-2898-1926, Manisty, Charlotte H. ORCID: https://orcid.org/0000-0003-0245-7090, Shun-Shin, Matthew J. ORCID: https://orcid.org/0000-0002-1179-0867, Francis, Darrel P. ORCID: https://orcid.org/0000-0002-3410-0814 and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2025) Consensus-guided evaluation of self-supervised learning in echocardiographic segmentation. Computers in Biology and Medicine, 198. p. 111148. ISSN 00104825

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, 248. 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. ISSN 00104825

Conference or Workshop Item

Fernandes, Patricia ORCID: https://orcid.org/0009-0000-9720-2829, Naidoo, Preshen ORCID: https://orcid.org/0009-0004-8328-6194, Ufumaka, Isreal ORCID: https://orcid.org/0000-0002-8906-4822, Adibzadeh, Sara ORCID: https://orcid.org/0009-0003-3656-916X, Alajrami, Eman ORCID: https://orcid.org/0000-0002-8656-5541, Jevsikov, Jevgeni ORCID: https://orcid.org/0009-0004-2070-7289, Dadashiserej, Nasim ORCID: https://orcid.org/0000-0002-2898-1926, Howard, James ORCID: https://orcid.org/0000-0002-9989-6331, Shun-Shin, Matthew ORCID: https://orcid.org/0000-0002-1179-0867, Manisty, Charlotte ORCID: https://orcid.org/0000-0003-0245-7090, Francis, Darrel ORCID: https://orcid.org/0000-0002-3410-0814 and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2025) Deep Learning for assessing rotational misalignment in echocardiographic imaging. In: International Conference on AI in Healthcare, 8-10 September 2025, Cambridge, United Kingdom.

Naidoo, Preshen ORCID: https://orcid.org/0009-0004-8328-6194, Fernandes, Patricia ORCID: https://orcid.org/0009-0000-9720-2829, Ufumaka, Isreal ORCID: https://orcid.org/0000-0002-8906-4822, Serej, Nasim Dadashi ORCID: https://orcid.org/0000-0002-2898-1926, Howard, James ORCID: https://orcid.org/0000-0002-9989-6331, Francis, Darrel ORCID: https://orcid.org/0000-0002-3410-0814, Manisty, Charlotte ORCID: https://orcid.org/0000-0003-0245-7090 and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2025) Spatiotemporal contrastive learning for Echocardiography View Classification. In: International Conference on AI in Healthcare, 8-10 September 2025, Cambridge, United Kingdom.

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.

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.